How SAP C/4HANA and SAP Leonardo Machine …...Logic Model Implementation Logging SAP Leonardo Machine Learning Technologies to Unlock the Intelligent C/4HANA Suite Productizing Machine

PUBLIC

Daniel Dahlmeier SAP

November 2018

How SAP C4HANA and SAP Leonardo Machine Learning Enable the Intelligent Enterprise

2PUBLICcopy 2018 SAP SE or an SAP affiliate company All rights reserved ǀ

The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP

Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service

or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related

document or to develop or release any functionality mentioned therein

This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and

functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this

presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentation is provided

without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a

particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP

assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross

negligence

All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from

expectations Readers are cautioned not to place undue reliance on these forward-looking statements which speak only as of their dates

and they should not be relied upon in making purchasing decisions

Disclaimer


Machine Learning by SAP Leonardo

Why Machine Learning Impacts SAP C4HANA Suite Architecture

How SAP Leonardo Transforms Data Into Customer Value

What Makes Customer Experience Intelligent

Agenda



tag person

Many of us help to train Machine Learning models on a daily basis without knowinghellip


SAP Leonardo powers enterprises with intelligent technologies for every

business process to create better outcomes

Open

Innovation

Industry

Innovation

Kits

Embedded

Intelligence

Industry Innovation Kits

Pre-integrated capabilities

that accelerate solving

critical industry problems

Embedded Intelligence

Intelligent technologies

like machine learning

Internet of Things

blockchain and analytics

embedded

in the applications

Open Innovation

Best-in-class innovation with

intelligent technologies

powered by the SAP Cloud

Platform

SAP Leonardo

Optimize

Extend

Transform


60Of human tasks will be

automated by 2025

97Image recognition accuracy today

(better than human rate 95 )

951 Speech recognition accuracy today


$18BEnterprise Machine Learning

Market by 2020

Process Automation

Full automation of business processes from HR

to payments processing to workflow approvals

for purchase orders and sales execution

Dynamic Analytics

Proactive analysis of new data types and

discovery of unfamiliar patterns that provide a

new level of insights

Nextndashgen UX

User experience based on voice vision and

messaging will replicate how people interact in

real life and increase business productivity

Machine Learning will reinvent Businesses

Source SAP CSG analysis McKinesy Quarterly Report July 2016 Google PR Microsoft PR SAP Market Model


How SAP Leonardo ML helps to deliver the Intelligent Enterprise

Intelligent Process

Automation

Conver-sational AI

Intelligent Applications

Business Outcomes

77of the worldrsquostransaction revenue touches an SAP system

26Industries

7lines of business

The worldrsquos largestbusiness network

Increase revenue

Re-imagine processes

Quality time at work

Customer satisfaction

Enabling innovations

Open and flexible building blocks

On SAP Cloud Platform amp SAP HANA

ML amp Data Science Platform


SAP Leonardo Machine Learning Foundation

enabling customers and partners to build the intelligent enterprise

Data Scientist

Enterprise System Developer

End-User

Image Speech Text

SAP Leonardo ML Foundation

Functional Services

Core Capabilities

Training APIs Consumption APIs

SAP Cloud Platform

Applications


ML Services Portfolio

Which objects are shown in the image

What is the text displayed in an image

Which pictures show identical persons

User Image Processing APIs

Customizable image classification

Customizable image object detection

Human detection Face detection

Customizable image feature extraction

Face feature extraction

Optical character recognition (OCR) Scene text recognition

Image segmentation

Image Speech Text



Image Processing APIs

Image Speech Text

How can I convert speech to

written text and vice versa

User Speech Processing APIs

Speech-to-Text

Text-to-Speech

Planned to be available in November 2018

Roadmap - subject to change



Image Speech Text

How can I classify or match text

contents

User Text Processing APIs

Customizable text classification

Text feature extraction

Topic detection

Language detection

Translation

Customizable similarity scoring

What are the key words and topics

of text documents

not directly applicable to images but vectors of eg imagetext contents


Planned innovations and roadmap for 2018

Data Scientist support for

ML experimentation

including Jupyter notebooks

Create and run custom ML

trainings (TensorFlow-

based)

Leverage data pipelines to

orchestrate ML services as

well as data pre- and post-

processing

Further data centers as

deployment options


Why Machine Learning Impacts SAP

C4HANA Suite Architecture


SAP C4HANA End-To-End Machine Learning Process Vision

List of

Customers

With High

Churn

Probability

Closed-loop performance across all channels

AIM

L +

DA

TA

PL

AT

FO

RM

SAP Leonardo Machine Learning Foundation SAP Leonardo Predictive Analytics (PAi)

SAP Data Hub (Data Science Platform)

SAP Leonardo Conversational AI Recast 3rd Party Non-SAP AIML Technologies amp Algorithms

INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent

Target PlanningField Service

Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account

IntelligenceNext-best Action

RecommendationTicket

Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer

Profile and Intelligent

Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP

3RD PARTYSAP COMMERCE

CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD


SAP Marketing CloudMarket with Intelligence

in the Moment

SAP Sales CloudBuild Relationships and guide

Customers throughout their journey

SAP Commerce CloudPersonalized Shopping Experience

across Touchpoints

SAP Service CloudMake Customers happy

SAP C4HANA Designed for New Customer Experience with SAP Leonardo

SAP Leonardo Machine Learning amp Predictive Analytics

SAP Customer Data CloudBuild Customer Trust and Loyalty


Success Factors of Enterprise Machine Learning Development

ARCHITECTURE

Sustainable architecture satisfying defined architecture qualities ie

performance efficiency reliability portability maintainability

SCENARIOS

Strong use cases adding significant value to an

exceptional customer experience

DATA

High-quality data across multiple domains Sales

Service Marketing Commerce


Hidden Technological Complexity of Enterprise Machine Learning

Machine learning architecture required which is

easy-to-consume and efficient at runtime

Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging

SAP Leonardo Machine

Learning Technologies

to Unlock the Intelligent

C4HANA Suite

Productizing Machine Learning is More Than Data Science

How SAP Leonardo Transforms Data Into

Customer Value


Data Preparation Training Deployment Inference

Training Execution

Model

Publishing

Integrated ML

Capabilities

Alternatively re-train existing

models with custom data

Deploy model and make it available for

inference

Use ML capabilities integrated in

SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data

Pre-processing Leonardo Machine Learning Foundation C4 S4 hellip

Transforming Data into Customer Value with



Consuming Machine Learning Services on SAP Cloud Platform

SCP Cloud Foundry SAP LeonardoML (CF Space)

ML MKT Service

Service BrokerSAP UAA

Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R

Data Job Model Inference

Middleware Services

Scheduler

Authentication Token

R

R R R RData Streaming Data Lifecyle Management

Trigger ML Training Job Management

Model LifecycleGet Model Matrix

Get Prediction

Results

SAP Marketing Cloud

Lead Conversion Propensity UI ML Common OData Contacts amp Interactions API Score API SAP HANA DB

R R R

ML Foundation

TYOM

Job Submission API

StorageKubernetes Clustering

Data Upload

RData Lifecyle Management

RJob

Management

BYOM

Model Container

Model Repo Deployment API

RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference


Exposed Interfaces of SAP Leonardo Machine Learning Foundation

Deployment API

Get Model RuntimesGET

Return Available Resource PlansGET

Find Model ServersGET

Create Model ServerPOST

Delete Model ServerDELETE

Get Model ServerGET

Patch Model ServerPATCH

Return Resource PlanGET

Version API

Get API VersionGET

Model API

Get ModelsGET

Get Model Version FileGET

Get Model VersionsGET

Create Model VersionPOST

Delete Model Version by IdDELETE

Get Model Version by IdGET

Patch Model Version by IdPATCH

Submission API

Get JobsGET

Create Initial Storage EndpointPOST

Get Job Status by IdGET

Delete Job by IdDELETE

Schedule JobPOST

Get Job LogGET

Get Storage EndpointGET


Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server

Get Intelligent Score

Create Storage Endpoint

Create Model Version

Get Model File

Invoke Model

SubmissionApplication Inference

High-Level Sequence of Training and Inference based on

SAP Machine Learning Foundation


Ingest Data from Various Sources

SAP Data Hub Capabilities

Apply machine learning and predictive algorithms to any data set

combined from 1st party C4HANA 2nd party partner and 3rd public data

Operationalize machine learning intelligence rather than natively

implement algorithms

Distribute intelligent results to core business applications where value is

added to business processes

SAP Data Hub SAP Leonardo

Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors


Ingest Data from Various Source and Execute Intelligent Logic

Create powerful data pipelines

Fast and Flexible program definition and execution

Use distributed processing in a cluster environment

Take advantage of serverless computing paradigms for radical scale

Incorporate powerful third-party libraries such as TensorFlow

Build data streams to enable data-driven processes

Establish data streams to react to data changes instantly

Embed complex algorithms into existing data flow by using any code or script

Easy Reuse of existing coding and libraries

Predefined machine learning operators

Read and Store Data (File HDFS S3 SAP HANA SAP Vora)


Outlook Combining SAP Data Hub with SAP Leonardo

SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n

Distributed Processing

based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo

Predictive Analytics

Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time


Towards a unified ML amp Data Science Platform

SAP Leonardo ML FoundationDeep Learning (text image video audio)

SAP Predictive AnalyticsOperationalization and automation

SAP HANA MLIn-database Machine Learning

SAP Data HubData sharing pipelining and orchestration Including data preparation and cleaning

Components Solution

One integrated offering

One data science front end

Full lifecycle management

Integrated with SAP



ML amp Data Science Platform Overview

Machine Learning amp Data Science Platformorchestration | integration | operationalization

Service

Deployment amp

Operations

Data

Preparation

Model

Creation

Machine Learning IDEML research | Model publishing | Lifecycle management

ML amp Data science repository

Enterprise

Data

Sources

Intelligent

Enterprise

Suite


The foundation of the

intelligent enterprise

Supporting the entire

lifecycle of self-learning

software

Enabling data scientists

and developers to tightly

integrate with SAP data

and processes

All Machine Learning

technologies

Scalable and secure

cloud-based platform


Overview of Integration Scenarios

REST Invoke

Machine Learning

via APIs

SAP Predictive

Analytics Integrator

Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App

ML Foundation Consumption API

SAP Cloud Platform

ML Foundation Training API

ML

Un

ifie

d A

PI

SAP HANA

PA Integrator

Predictive Analytics Integrator to invoke Machine Learning APIs



Powerful combination of SAP ML Foundation amp SAP Data Hub

bull Leverage deep learning out of the box by

invoking SAP MLF services in SAP Data

Hub pipelines

bull Utilize heterogenous data managed by

SAP Data Hub

bull Orchestrate enterprise data with big data to

feed ML models

E n t e r p r i s e S ys t e m s

Hadoop

Cloud Storage

B i g D a t a S ys t e m s

Discovery amp Monitoring

Orchestration amp Pipelines

Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps


What Makes Customer Experience

Intelligent


SAP C4HANA Service Ticket Intelligence Automates the

Classification and Routing of Customer Requests

Dear SirMadam

Last Monday we were expecting your service engineers to arrive at our home between 8am

and 12pm

No one came until 2pm and after calling your service desk we were told that there are no

more service appointment slots possible for us this week

We are very disappointed as this would mean a whole week with no fridge for our family

Regards

Taylor Jones

Uses deep learning

convolution neural networks

for ticket category

classification and ticket

prioritization


Demo Service Ticket Intelligence


SAP C4HANA Marketing Customer Retention

Continuously monitor the churn risk of customers React on time for higher customer retention

Mine customer touchpoint data from

various sources identify unknown

churn related behavioral patterns or

events and predict list of customers

at risk of churning and estimate the

time before they churn

Take action on high risk customers

by creating target lists automatically

with follow-up campaigns

Visualize all customer touch

pointsevents to better understand a

customerrsquos journey and experience


SAP C4HANA Marketing Lead Conversion

Propensity Identifies Most Promising Customers

Use SAP Leonardo and customer behavior data to detect ldquohiddenrdquo behavior patterns and determine lead conversion

Identify leads with a high

chance of conversion with

the help of deep learning

powered by SAP

Leonardo

Achieve campaign

optimization and automation

as well as focused customer

engagement by addressing

the right audience

Increase conversion rates

revenue and customer

satisfaction while reducing

marketing cost

The majority of all B2B

generated leads are not

sales ready Time costs

and resources is

optimized


Enterprise-grade platform to augment business processes with Machine Learning

Leonardo Machine Learning Foundation in a nutshell

Easy-to-consume ML

content targeted at non-ML

experts



software

Tight integration with

SAPrsquos software

Being open towards

various Machine Learning

technologies

Scalable and secure cloud-

based platform


SAP Leonardo Machine Learning Discovery Service

Service Description

Machine learning technology provides new solutions to existing and new

business opportunities We conduct an onsite workshop with you to define

an approach for your business to benefit from the capabilities of machine

learning SAP machine learning experts provide guidance about the benefits

of machine learning and intelligent application ndash for potential uses cases and

line of businesses

Business Benefits

Understand the business benefits of machine learning and intelligent

applications

Define a vision and value proposition for machine learning based on SAP

Leonardo

Validate a high level action plan to maximize business benefits

Delivery Approach

Applications

SAP Leonardo Machine Learning

Foundation

S4HANA and other backend

systems

Key Deliverables

Initial customer vision to machine

learning

Value proposition based on

SAP Leonardo machine learning

High level action plan

Variants amp Duration

Standard variant 1 day onsite

(3 person days effort based on TampM)

Variant with extended prototyping

2 days onsite


Discovery Analysis Ideation Prototyping Action Plan

Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started

Developer website sapcomdevelopertopicsmachine-learninghtml


Learn More

Websites

ML overview website sapcomML

Product website

sapcomproductsmachine-learning-

foundationhtml

Online

Courses


Foundation ndash An Introduction

httpsopensapcomcoursesleo5

Enterprise ML in a Nutshell

httpsopensapcomcoursesml1

Enterprise Deep Learning with TensorFlow


Contact information

Daniel Dahlmeier

Development Manager for SAP Leonardo ML SAP SE

ddahlmeiersapcom

Thank you

copy 2018 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us


The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP

Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service

or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related

document or to develop or release any functionality mentioned therein

This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and

functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this

presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentation is provided

without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a

particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP

assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross

negligence

All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from

expectations Readers are cautioned not to place undue reliance on these forward-looking statements which speak only as of their dates

and they should not be relied upon in making purchasing decisions

Disclaimer






Agenda



tag person





Open

Innovation

Industry

Innovation

Kits

Embedded

Intelligence








Internet of Things


embedded

in the applications

Open Innovation




Platform

SAP Leonardo

Optimize

Extend

Transform



automated by 2025






Market by 2020

Process Automation




Dynamic Analytics




Nextndashgen UX








Intelligent Process

Automation

Conver-sational AI


Business Outcomes


26Industries

7lines of business


Increase revenue











Data Scientist


End-User

Image Speech Text


Functional Services

Core Capabilities


SAP Cloud Platform

Applications













Image segmentation

Image Speech Text




Image Speech Text




Speech-to-Text

Text-to-Speech





Image Speech Text


contents




Topic detection

Language detection

Translation



of text documents





ML experimentation




based)




processing


deployment options






List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us






Agenda



tag person





Open

Innovation

Industry

Innovation

Kits

Embedded

Intelligence








Internet of Things


embedded

in the applications

Open Innovation




Platform

SAP Leonardo

Optimize

Extend

Transform



automated by 2025






Market by 2020

Process Automation




Dynamic Analytics




Nextndashgen UX








Intelligent Process

Automation

Conver-sational AI


Business Outcomes


26Industries

7lines of business


Increase revenue











Data Scientist


End-User

Image Speech Text


Functional Services

Core Capabilities


SAP Cloud Platform

Applications













Image segmentation

Image Speech Text




Image Speech Text




Speech-to-Text

Text-to-Speech





Image Speech Text


contents




Topic detection

Language detection

Translation



of text documents





ML experimentation




based)




processing


deployment options






List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us



tag person





Open

Innovation

Industry

Innovation

Kits

Embedded

Intelligence








Internet of Things


embedded

in the applications

Open Innovation




Platform

SAP Leonardo

Optimize

Extend

Transform



automated by 2025






Market by 2020

Process Automation




Dynamic Analytics




Nextndashgen UX








Intelligent Process

Automation

Conver-sational AI


Business Outcomes


26Industries

7lines of business


Increase revenue











Data Scientist


End-User

Image Speech Text


Functional Services

Core Capabilities


SAP Cloud Platform

Applications













Image segmentation

Image Speech Text




Image Speech Text




Speech-to-Text

Text-to-Speech





Image Speech Text


contents




Topic detection

Language detection

Translation



of text documents





ML experimentation




based)




processing


deployment options






List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us


tag person





Open

Innovation

Industry

Innovation

Kits

Embedded

Intelligence








Internet of Things


embedded

in the applications

Open Innovation




Platform

SAP Leonardo

Optimize

Extend

Transform



automated by 2025






Market by 2020

Process Automation




Dynamic Analytics




Nextndashgen UX








Intelligent Process

Automation

Conver-sational AI


Business Outcomes


26Industries

7lines of business


Increase revenue











Data Scientist


End-User

Image Speech Text


Functional Services

Core Capabilities


SAP Cloud Platform

Applications













Image segmentation

Image Speech Text




Image Speech Text




Speech-to-Text

Text-to-Speech





Image Speech Text


contents




Topic detection

Language detection

Translation



of text documents





ML experimentation




based)




processing


deployment options






List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us




Open

Innovation

Industry

Innovation

Kits

Embedded

Intelligence








Internet of Things


embedded

in the applications

Open Innovation




Platform

SAP Leonardo

Optimize

Extend

Transform



automated by 2025






Market by 2020

Process Automation




Dynamic Analytics




Nextndashgen UX








Intelligent Process

Automation

Conver-sational AI


Business Outcomes


26Industries

7lines of business


Increase revenue











Data Scientist


End-User

Image Speech Text


Functional Services

Core Capabilities


SAP Cloud Platform

Applications













Image segmentation

Image Speech Text




Image Speech Text




Speech-to-Text

Text-to-Speech





Image Speech Text


contents




Topic detection

Language detection

Translation



of text documents





ML experimentation




based)




processing


deployment options






List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us



automated by 2025






Market by 2020

Process Automation




Dynamic Analytics




Nextndashgen UX








Intelligent Process

Automation

Conver-sational AI


Business Outcomes


26Industries

7lines of business


Increase revenue











Data Scientist


End-User

Image Speech Text


Functional Services

Core Capabilities


SAP Cloud Platform

Applications













Image segmentation

Image Speech Text




Image Speech Text




Speech-to-Text

Text-to-Speech





Image Speech Text


contents




Topic detection

Language detection

Translation



of text documents





ML experimentation




based)




processing


deployment options






List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us



Intelligent Process

Automation

Conver-sational AI


Business Outcomes


26Industries

7lines of business


Increase revenue











Data Scientist


End-User

Image Speech Text


Functional Services

Core Capabilities


SAP Cloud Platform

Applications













Image segmentation

Image Speech Text




Image Speech Text




Speech-to-Text

Text-to-Speech





Image Speech Text


contents




Topic detection

Language detection

Translation



of text documents





ML experimentation




based)




processing


deployment options






List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us




Data Scientist


End-User

Image Speech Text


Functional Services

Core Capabilities


SAP Cloud Platform

Applications













Image segmentation

Image Speech Text




Image Speech Text




Speech-to-Text

Text-to-Speech





Image Speech Text


contents




Topic detection

Language detection

Translation



of text documents





ML experimentation




based)




processing


deployment options






List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us













Image segmentation

Image Speech Text




Image Speech Text




Speech-to-Text

Text-to-Speech





Image Speech Text


contents




Topic detection

Language detection

Translation



of text documents





ML experimentation




based)




processing


deployment options






List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us




Image Speech Text




Speech-to-Text

Text-to-Speech





Image Speech Text


contents




Topic detection

Language detection

Translation



of text documents





ML experimentation




based)




processing


deployment options






List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us



Image Speech Text


contents




Topic detection

Language detection

Translation



of text documents





ML experimentation




based)




processing


deployment options






List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us




ML experimentation




based)




processing


deployment options






List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us





List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us



List of

Customers

With High

Churn

Probability


AIM

L +

DA

TA

PL

AT

FO

RM




INTELLIGENT

MARKETING

INTELLIGENT

COMMERCE

INTELLIGENT

SALES

Deal

Intelligence

INTELLIGENT

SERVICE

Conversational

Commerce

Predictive

Forecasting

Intelligent


Intelligence

Conversational

Service

Intelligent

Compensation

Personalized

CX amp Adaptive

CommerceLead

Intelligence

Account



Intelligence

Conversational

User Interface

INT

EL

LIG

EN

T S

CE

NA

RIO

S amp

AP

PS

PO

WE

RE

D B

Y S

AP

LE

ON

AR

DO

Customer

AttributionBrand

Impact

Smart

Campaigns

ABM

Customer

Retention

Lead

Conversion

Propensity

Product Offer

Recommendation

Buying amp

Customer

Propensity

Real-time Customer


Scores

Automated

Segmentation

Target

Group

EXTENSIONS amp

CUSTOM APPS

NON-SAP


CLOUD

SAP MARKETING

CLOUD

SAP SALES

CLOUD

SAP SERVICE

CLOUD

FR

ON

T +

BA

CK

OF

FIC

E

SAP CUSTOMER

DATA CLOUD



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us



in the Moment




across Touchpoints







ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us



ARCHITECTURE



SCENARIOS



DATA







Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us





Large volume of

data records

created at high

velocity

Multi-

dimensional

input spread

across multiple

data sources

Workload of

complex

algorithms for

preprocessing

training and

inference

Performance

efficiency of

inference


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us


Monitoring

Extensibility

Infrastructure

Management

Data

Acquisition

Lifecycle

Coordination

Transformation

Logic

Model

Implementation

Logging




C4HANA Suite



Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us


Customer Value



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us



Training Execution

Model

Publishing

Integrated ML

Capabilities




inference


SAP solutions

Re-trainable

Models

Ready-to-use

Apps

Bring your own

Model

Training

Train your own

model

Upload

training script

and data to

create custom

model

Data Preparation

Data Exploration

Clean and

label data

Explore and

analyze data

Prepare your data







ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us




ML MKT Service


Au

dit

Logg

ing

Mo

nit

ori

ng

SAP

Clo

ud

Ide

nti

ty

R


Middleware Services

Scheduler


R




Get Prediction

Results

SAP Marketing Cloud


R R R

ML Foundation

TYOM

Job Submission API


Data Upload


RJob

Management

BYOM

Model Container


RModel

Management

RInference Payload

Model Repo

Trained Model

R

Training Inference



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us



Deployment API






Get Model ServerGET



Version API

Get API VersionGET

Model API

Get ModelsGET







Submission API

Get JobsGET




Schedule JobPOST

Get Job LogGET



Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us


Get Job Status

Schedule Job

Model Deployment

Get Model Version

Create Model Server




Get Model File

Invoke Model














Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us











Machine Learning

Foundation

SAP Predictive

Analytics

SAP C4HANA

Data

Public APIs

External Data

Vendors
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us
















SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us



SAP Data Hub

Da

ta D

isco

ve

ry amp

Go

ve

rna

nce

Da

ta P

ipelin

es amp

Orc

hestr

atio

n

Da

ta P

repa

ratio

n


based on SAP VORA

SAP C4HANA

Sa

les

Clo

ud

Se

rvic

e

Clo

ud

Ma

rke

ting

Clo

ud

Co

mm

erc

e

Clo

ud

Customer Data

Cloud

User Experience

AP

Is


Learning Foundation

Bu

sin

ess S

erv

ice

s

Fun

ction

al S

erv

ice

s

Inference

(BYOM)

Model

Repo

Training

(TYOM)

SAP Leonardo


Pre

dic

tive

An

aly

sis

Lib

rary

(PA

L)

Au

tom

ate

d

Pre

dic

tive

Lib

rary

(AP

L)

SAP HANA

Run-

time







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us







Components Solution




Integrated with SAP





Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us




Service

Deployment amp

Operations

Data

Preparation

Model

Creation



Enterprise

Data

Sources

Intelligent

Enterprise

Suite






software




and processes


technologies

Scalable and secure




REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us



REST Invoke

Machine Learning

via APIs

SAP Predictive


Native Consumption

out of ABAP

SAP Data Hub

Combining different

systems and data

sources



Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us


Business

Application UI

PAI Model

Management UI

SAP S4HANA

Business App


SAP Cloud Platform


ML

Un

ifie

d A

PI

SAP HANA

PA Integrator







Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us





Hub pipelines


SAP Data Hub


feed ML models


Hadoop

Cloud Storage




Data Management amp

Preparation

SAP

HANA

Streaming

TrainingInference

SAP MLF

Data Pipeline

SAP Data Hub

SAP S4 HANA

SAP BW4 HANA

Enterprise Apps



Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us


Intelligent




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us




Dear SirMadam


and 12pm




Regards

Taylor Jones

Uses deep learning


for ticket category


prioritization

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us

























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us























powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us








powered by SAP

Leonardo

Achieve campaign




the right audience




marketing cost




and resources is

optimized




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us




Easy-to-consume ML


experts



software


SAPrsquos software

Being open towards


technologies


based platform



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us



Service Description






line of businesses

Business Benefits


applications


Leonardo


Delivery Approach

Applications


Foundation


systems

Key Deliverables


learning








2 days onsite



Fundamentals amp

SAP machine

learning vision

Customer Vision

Goals and Needs

Imagination and

Inspiration

Summary

Prioritization amp

Next Steps

Low fidelity

prototypes


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us


Get Started



Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us


Learn More

Websites


Product website


foundationhtml

Online

Courses








Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us

Contact information

Daniel Dahlmeier


ddahlmeiersapcom

Thank you










warranty













wwwsapcomcontactsap

Follow us










warranty













wwwsapcomcontactsap

Follow us

Documents

How SAP C/4HANA and SAP Leonardo Machine …...Logic Model Implementation Logging SAP Leonardo Machine Learning Technologies to Unlock the Intelligent C/4HANA Suite Productizing Machine