AI for the Digital Era - Oracle...Apache Zeppelin ML (OML –Oracle Machine Learning) 16 *Coming soon Oracle Machine Learning Notebooks Autonomous Database as a data science platform

AI for the Digital Era: Strategy and Tools for Machine Learning

Director, Analytics & Big Data

Alain Floch

APAC Oracle

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing, and pricing of any features or functionality described for Oracle’s products may change and remains at the sole discretion of Oracle Corporation.

Statements in this presentation relating to Oracle’s future plans, expectations, beliefs, intentions and prospects are “forward-looking statements” and are subject to material risks and uncertainties. A detailed discussion of these factors and other risks that affect our business is contained in Oracle’s Securities and Exchange Commission (SEC) filings, including our most recent reports on Form 10-K and Form 10-Q under the heading “Risk Factors.” These filings are available on the SEC’s website or on Oracle’s website at http://www.oracle.com/investor. All information in this presentation is current as of September 2019 and Oracle undertakes no duty to update any statement in light of new information or future events.

Safe Harbor

Copyright © 2019 Oracle and/or its affiliates.3

http://www.oracle.com/investor

Copyright © 2019 Oracle and/or its affiliates4

Artificial Intelligence: The New Reality


AI: Reshaping Every Industry and Job Function


Bringing AI to Masses

Source: IDC , “Worldwide Artificial Intelligence Spending Guide,” September 2019

Source: Deloitte, “Artificial Intelligence: From Expert-Only to Everywhere,” December 11, 2018Source: McKinsey & Company, “Notes From the AI Frontier: Modeling the Impact of AI on the World Economy,” September 2018

The Promise of AI

Augmenting human intelligence

Copyright © 2019 Oracle and/or its affiliates.

• Enhances natural human experiences

• Predict outcomes

• Accelerate decision making

• Improves efficiency and accuracy

• Automate repetitive learning

Connected, productive intelligent enterprise

7


Enterprise AI Challenges

To Lead SuccessfulAI Strategy

• Business use case• Large amount of clean data• High performance infrastructure• Talent• Tools & Technology powered by

Machine Learning


Machine Learning in Oracle’s Products

Applications

Adaptive Intelligent Apps

Intelligent UX

Conversational Agents

Platform Services

Autonomous Database

Oracle Analytics Cloud

Cloud Infrastructure

ML Platform

ML Tools

Data Management

Analytics

3rd Party

Copyright © 2019 Oracle and/or its affiliates

Ready-to-Go Ready-to-BuildReady-to-Work

10

Oracle’s approach to Machine Learning Tools

ML in Data Management

Enable Data Science teams

ML on Cloud Infrastructure

Bring the algorithms to the data

Performance with your own tools

Collaboration Repeatability Productivity

11 Copyright © 2019 Oracle and/or its affiliates

Oracle Cloud Data Management

AutonomousDatabase

OCI Data Catalog*

OCI Data Integration*

Big Data Service*(Hadoop & Spark)

Database Cloud

OCI Object Storage

Oracle Cloud Infrastructure (OCI)



*Coming soon

Data Catalog

A single collaborative environment for data professionals to collect, organize, find, access, understand, enrich and activate technical, business and operational metadata to support self-service data discovery, advanced analytics and governance for trusted data assets in Oracle Cloud and beyond.


Machine Learning in Data Management

NotebookOML4Spark

Oracle Machine Learning (OML) Notebooks

OML4SQLOML4R

OML4Py*

AutonomousDatabase

OCI Data Catalog*


Database Cloud



OCI Data Integration*OCI Object Storage


*Coming soon

What Can You Do with Machine Learning in the Database?

Learn more from existing data without having to move data around

Get started quickly and scale easily as needed, especially if starting in the cloud

Develop new solutions to existing problems with easy access to data

Operationalize machine learning faster than ever


Machine Learning in Databases


Autonomous Database

Oracle Database

OML Notebooks

DatabaseCloud Service

OML4SQL

Oracle Data Miner

OML4R

OML4Py*

SQL DeveloperSQL*Plus

SQL Developer

R client

Python client

Data Management Platform

Oracle Machine Learning Component

Tool

MLML

MLApache Zeppelin

(OML – Oracle Machine Learning)

16

*Coming soon

Oracle Machine Learning Notebooks

Autonomous Database as a datascience platform• In-database machine learning algorithms

and analytics functions via SQL• Collaborative UI for data scientists, data

analysts, application developers, DBAs• Easy sharing of notebooks and templates

with permissions, versioning, and execution scheduling

• Based on Apache Zeppelin


Big Data Service

• A new and improved cloud service based on Cloudera Hadoop

• Flexibility of native OCI shapes: start very small, supports very large clusters

• Transient use: suspend (and stop paying) when not using the cluster

• Enrich ADB solutions with insights from data lab

• Use big data processing for data integration pipelines

• Leverage data lake for information lifecycle management


Oracle Cloud SQL

Cloud SQL enables better scalability for SQL queries on Object Stores• Available Soon New name for Big Data

SQL• Scale out queries against Object Stores

and Big Data Service• Automatic and transparent• Pay for what you use

Cloud SQL

ADB

Oracle Object Store

Big Data Service

AWS Blob Store

Azure Blob Store


Enable Data Science Teams

OCI Data Science*

AutonomousDatabase

OCI Data Catalog*


Cloud SQL


OCI Data Integration*OCI Object Storage


*Coming soon

OCI Data Science

OCI Data Science *

Collaborative

Project driven UI enables teams to easily work together on end-to-end modeling workflows with self-service access to data and resources

Integrated

Support for latest open source tools, version control, and tight integration with OCI and Oracle Big Data Platform

Enterprise-Grade

A fully managed platform built to meet the needs of the modern enterprise

Projects NotebooksOpen Source Languages &

Libraries

Version Control

Use Case Templates

Model Build & Train

Model Deployment

Model Monitoring

Access Controls &

Security


Building, Training, & Deploying AI/ML

Coming soon

Open Source: Integral to Oracle


Critical Component of Data Management

Giving Back to the Community

22


Oracle Cloud Infrastructure: Built for AI / ML Workloads

• Non-over subscribed, flat 25 Gbps bandwidth between nodes

• Only cloud with Network performance SLA

High

Performance ComputeScalable,

Independent Storage

• Flexible shapes from VMs to Bare Metal

• Use latest innovations from NVIDIA, Intel, AMD, and more

• NVMe SSD, Object, Block and Archive Storage

• 50% faster HDFS performance vs. other public cloud storage

• 90% lower costs for Data Lake with Data Tiering

Guaranteed

Network Performance

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ML on Oracle Cloud Infrastructure


Data Platforms

AI & ML

Data LakeData Integration &

Preparation BI & Visualization

EdgeStorageContainersCompute Network Database

Oracle Cloud Infrastructure

Oracle Cloud Data Management

AutonomousDatabase

OCI Data Catalog*

OCI Data Integration*


Database Cloud

OCI Object Storage




*Coming soon

Analytics with No-Code ML

Oracle Analytics Cloud• Augmented Data Preparation• Augmented Insights

• Explain datasets for unbiased data-driven insights

• One-click forecasting, clustering and trends

• Natural language querying and generation

• Train Models• Train embedded models on any data

• Leveraging Python with zero code

• Consume ML Assets as Part of Analysis• Use data science outputs from other ML

platforms (eg, OML in ADW)


Train and run sophisticated ML models without code or

specialized skills


Machine Learning Demonstration

27

Create An Effective Data Lab

$561M Confirmed savings identified


Identify billing and identity fraud

—–

“With Oracle Advanced Analytics, it is much easier to detect anomalies in behaviors. We used anomaly detection to discover where there might be evidence of inappropriate behavior in dentists’ claims, enabling NHS commissioners to follow up and challenge their activities.”

Nina MoncktonHead of information services, NHSBSA

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Oracle’s Data and AI Platform VisionEnd-to-end platform to rapidly build AI-powered solutions

Oracle Cloud Infrastructure

Data Lake

Database

Oracle AutonomousDatabase (ADW/ATP)

OCI Data FlowBig Data Service

Data Sources Data Integration

Data Science

AppDev

Analytics

OCI Data Integration

OCI Data Science


OCI Developer Services

Data Engineer

App DeveloperData Scientist

Business Analyst

StreamingOCI Streaming

Database MigrationOCI Database Migration


Thank You

Alain FlochHead of Analytics & Big Data, APAC

Documents

AI for the Digital Era - Oracle...Apache Zeppelin ML (OML –Oracle Machine Learning) 16 *Coming soon Oracle Machine Learning Notebooks Autonomous Database as a data science platform