Dell Technologies from Edge to Core to Cloud Technologies from Edge to Core to Cloud IoT Infrastructure for Distributed Analytics, ... IoT Analytics and Monetization. 14: Organizations

Dell Technologies from Edge to Core to Cloud IoT Infrastructure for Distributed Analytics, Better Together with VMware and Pivotal

Jason ShepherdDirector of IoT Strategy and Partnerships | Dell@defshepherd

Dave RobertsSenior Manager, Partner Solution Architects | Pivotal@d4v3_r

Mimi SpierVice President, IoT | VMware@mimi_spier

Bill SchmarzoCTO, Big Data Analytics | DellEMC@schmarzo

2 © Copyright 2017 Dell Inc.2

Two key elements in IoT

CONTENTPredictive maintenanceSupply chain automation

New customer experience

CONTROLSet-up

On-boardManageMonitorSecure


IoT requires architecting from edge to core to cloudEDGE/FIELD CLOUDCORE/FOG


Different analytics for different needsEDGE/FIELD CLOUDCORE/FOG

Closed Loop Control in Hard Real Time

Event Processing with Streaming Video

Machine Learning/ AI

Streaming

Deep Learning

Simple Rules Engine (IFTTT)

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Industry’s broadest IoT infrastructure portfolioEDGE/FIELD CLOUDCORE/FOG

IoT & Data Analytics Services

Global Support, Deployment, & Financing

Embedded Gateways On-Premise Appliances

Data Center & Cloud

Cloud & App Integration

Manageability & Security:

IoT Solutions Partner Program

Edge Computing


Real-time decision making through Edge Analytics

Reduced data transfer cost through compression & cleansing

Improved security and data continuity through local operations

Value of the Edge

Adding compute at the Edge offers 3 advantages

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Edge computing portfolioEdge Gateway 5000

Target uses: Manufacturing, building automation, energyProcessor: Intel AtomEnvironment: up to -30C -+70C

Embedded Box 3000

Target uses: Shop floor, machine controller, medical machine, retail kiosksProcessor: Intel AtomEnvironment: 0C - +50C

Embedded Box 5000

Target uses: Shop floor, control rooms video, NFV, video surveillanceProcessor: Intel Core iEnvironment: 0C - +50C

Edge Gateway 3000

Target uses: General automation, transportation & retail kiosksProcessor: Intel AtomEnvironment: -30C - +70C

Modularity & Price- +

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Level 1 - Control

Level 2 - Operations

Level 3 - Management

Level 4 – Enterprise/Cloud

Level 0 – Field Devices 1000’s

10’s

# of CommsProtocols

Big Data

kB’s

Data Size

Gat

eway

s

Serv

ers

Embe

dded

PC

s

APs N

etw

orki

ng

Minutes to Years

mS

Necessary Response

Time

GB’s

High level industrial IoT solution trends


The IoT has connectivity challenges at the edge.EDGE/FIELD CLOUDCORE/FOG


Introducing EdgeX Foundry, the open interop platform for the IoT edge.• Vendor-neutral open source project

hosted by the Linux Foundation

• Loosely-coupled, containerized microservices for scalability

• Hardware- and OS-agnostic

• Polyglot

• Common device interface SDK and APIs for interoperability

• Architected to unify the developer ecosystem

Like the Cloud Foundry Foundation project, Edge X Foundry leverages cloud-native principles to enable

massively-scalable solutions for the IoT Edge.


EdgeX Foundry will unify the ecosystem for IIoTedge solutions

Emerging IoT standards

Existing connectivitystandards

Other software frameworks

Interoperable Edge applications

Choice of backend applications

Any combination of data inputs

MQTT, CoAP, AMQP, OPC-UA,

etc.

System Mgmt

Analytics

Database/ Historian

Device Services

Device Services

Device Services

Device Services

Failover/ Load

Balancing

Export / Data Orchestration

...

Security

…

IoT Analytics and Monetization

14

Organizations do not need a IoT Strategy; they need a Business Strategy that incorporates IoT

Bill Schmarzo, CTO, Dell global servicesUniversity San Francisco, School of Management Executive FellowTwitter: @schmarzo

© Copyright 2017 Dell Inc.14

15© Copyright 2016 Dell Inc.

Internal Use - Confidential

IoT Challenge: transitioning from “connected”to “smart”

15


16© Copyright 2015 EMC Corporation. All rights reserved.


Big Data is… Smart Factories




17

Big Data is… Smart Hospitals




Big Data is… Smart Cities


19© Copyright 2015 EMC Corporation. All rights reserved.


Big Data is… Smart Utilities




“Smart” is the sum of the decisions to support and entity’s business objectives.

But what is “Smart”?

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• Energy Usage Monitoring• Demand Forecasting• Capacity Planning• Network Optimization• Energy Generation / Acquisition• Billing / Pricing• Predictive Maintenance• Asset Utilization

Internet of Things: “Connected” Does Not Equal “Smart”

• Customer Retention• Loss / Revenue Prevention• Disaster Recovery• Downtime Reduction• Conservation / Carbon Footprint• Home Energy Optimization• Co-marketing Services• …

“Smart” Utility would include the following Decisions (Use Cases):



Big Data / IoT Business Model Maturity Index

21

EconomicDrivers

Business optimization

PrescriptiveRecommendations

Business insightsBusiness monitoring

Insightsmonetization

Businessmetamorphosis

How effective is your organization at leveraging

data and analytics to power your business models?



Learnings (Best Practices)

Real-time Optimized Decisions

IOT Economic Drivers “Smart”

Entities

Role of Edge Analytics to drive IoTbusiness model maturity

IoT EdgeAnalytics

RT Data Compression

RT Data Streaming

AI / Machine Learning

AggregatedData

Modeling(Learning)

Real-timeDecisions

Example: 3-tiered IoTAnalytics Architecture

Centralized analytics (processing all data,

external data integration, model development &

refinement)

Demand Forecasting, Predictive Maintenance,

Capacity Planning

Entity-level analytics (event driven, reactive

model execution with real-time data compression and

analysis)

Localized Action, Performance Monitoring, Operational Optimization

Distributed analytics (localized prediction and decision making using

edge and neighborhood data)

Farm Generation Optimization, Resource

Scheduling

Wind Turbine Wind Farm Operations Center

Data

Analytics

Data

Analytics

EDGE/FIELD CLOUDCORE/FOG© Copyright 2017 Dell Inc.23


Develop strategy, architecture and plan / roadmap to implement IOT technology based on four modules or attributes against five Business Model Maturity Index phases

IOT Advisory Service

Deliverables• IOT “as-is” Analysis

Document

• IOT “to-be” Analysis Document

• IOT Gap Analysis

• Recommended Architecture / Roadmap

• Implementations Plan and Timeline

Monitoring Insights Optimization Monetization Metamorphosis

IOT Architecture and Technology

Data and Process Flows

Data Science and Analytics

IOT Organization / Capabilities

IOT

Busi

ness

Obj

ectiv

es&

Use

Cas

es

Four

Mod

ules

IoT Infrastructure Management


Introducing VMware Pulse

Things

Apps

EDGE

Cloud

VMware Pulse IoT Center

Local/Private/Public

Onboard Monitor Manage Secure

LIOTA

OT User

IT User

Device Management

Operational Analytics

Micro-segmentation

ON BOARD

Liota Agent on edge systems to enable data orchestration

Automatically detect edge systems and on board and provision over the air

Map edge systems to connected devices

MONITOR

Collect telemetry data about infrastructure health

Detect anomalies in real-time with high accuracy

Set rules to automatically fix OTA when possible

MANAGE

Manage software OTA of any edge type and connected end points

Set rules to automatically upgrade/fix in flexible package combination

Set rules to automatically fix OTA when possible

SECURE

Secure across IoT use case –things, network, data, people

Create segmented data flows with network virtualization

Have complete visibility of all things


Introducing VMware Pulse

Things

AppsCloud

Local/Private/Public

Onboard Monitor Manage Secure

OT User

IT User

Content Analytics

Project Ice

Set-up

VMwareCloud Foundation

ESXi NSX ESX NSX VSAN

Smart IndustrySolutions

SET-UP

Reduce time and cost to deploy IoT by +6m

Scale from PoC to production easily

Optimize local analytics/data on-premand in the cloud

Pre-configured with Project Ice and Analytics

Minimize risk of data leakageor security breaches

VMware Project Fire

28

Streamline and accelerate how IoTget’s deployed and scaled

Manage millions of things as easily as managing one

Secure IoT infrastructure across things, edge, network, and

applications

Provide accurate and real-time visibility of ‘thing’ health and act on anomalies as they arise

Simplify the complexity

Improve reliability

Accelerate ROI

Provide peace of Mind

© Copyright 2017 Dell Inc.

Cloud Native Applications

Our mission is to transformhow the world builds software

Hope of transformation

“If you went to bed last night as an industrial company, you’re going to wake up a software and analytics company.”Jeff ImmeltCEO, General Electric

Lightening fast and agile

Modern software companies are capable of releasing new features:• In minutes• Multiple times a day• Across multiple clouds• Around the world

TRANSFORMING INTO AMODERN SOFTWARE COMPANY

Building high-quality software at start-up speed requires modern software methodologies, cloud platform, and data tools

ModernCloud Native Platform

01

ModernSoftware Methodology

02

ModernData Tools

03

Partnering with Pivotalto level the playing field

Modern Cloud-Native PlatformBuilding high-quality software at start-up speed requires modern software methodologies, cloud platform, and data tools

01

75%of application development supporting digital business will be built not bought by 2020

Source: Gartner

02

Modern Software MethodologiesA modern platform requires a modern approach to software development

02

Building a strategy forproduct development

Building a quality productat startup speed

An organization optimized to respond to disruption

1MODERN SOFTWARE

METHODOLOGY

Agile SoftwareMethodologies 2

MODERN SOFTWAREMETHODOLOGY

Lean StartupTechniques 3

MODERN SOFTWAREMETHODOLOGY

Optimized forChange

Modern Software MethodologiesEnsuring teams are supported by modern methodologies and technical knowledge to continuously innovate

02

Guidance & Coaching1. Software Engineering2. Product Management & Design3. Data Science

Modern Data ToolsData manifests as features in an app

03

“We’ve found that when a host selects a price that’s within 5% of

their tip, they’re nearly 4 times more likely to get booked”

“The importance of accuracy and efficiency…will continue to rise as we expand and improve products

like uberPOOL and beyond.”

“Over 75% of what people watch come from our recommendations”

Modern Cloud-Native EnterpriseBuilding high-quality software at start-up speed requires modern software methodologies, cloud platform, and data tools

Customer Examples

42

Emerson Connected Services

Transformed from reactive to predictive

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City in California

Transformed from vulnerable to secure

Predix

Source: Predix Architecture and Services Technical Whitepaperhttps://www.predix.com/predix-architecture-whitepaper

Predix – Avoiding Flight Delays

Source: https://www.predix.io/community/predix-in-action

• $25K – $40K per flight delay

• Apply sensors to landing gear for early detection of problems

• Leverage the digital twin to diagnose problems

• Use historical data to predict remaining useful life

• Built by Infosys and GE Digital

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Vertical SolutionsDell Technologies IoT HW/SW Ingredients

Technology PartnersVertical ExpertisePlatformsAnalyticsData VisualizationWide Area ConnectivitySecurity

Services PartnersLast Mile DeliverySolution SupportSystem IntegrationDeployment Project DesignProcuring Accessory

70+ Qualified Partners – www.dellIOTpartners.com

http://www.delliotpartners.com/


Our Practical Approach

Realize ROI quicker through validated solutionsReduce deployment risks with actionable best practice guides

Dell Technologies infrastructure offering

Curated partner software and hardware

Validated use-case specific solutions+ =

Q&A

Follow us to learn more: Twitter: @DellOEMLinkedIn: ‘Dell EMC Internet of Things’Website: http://www.dell.com/iotPartners: http://www.dellIoTPartners.com

Jason ShepherdDirector of IoT Strategy and Partnerships | Dell@defshepherd

Dave RobertsSenior Manager, Partner Solution Architects | Pivotal@d4v3_r

Mimi SpierVice President, IoT | VMware@mimi_spier

Bill SchmarzoCTO, Big Data Analytics | DellEMC@schmarzo

https://twitter.com/DellOEM

https://www.linkedin.com/company/10149209?trk=tyah&trkInfo=clickedVertical:showcase,clickedEntityId:10149209,idx:2-1-2,tarId:1475674695268,tas:dell%20internet%20of

http://www.dell.com/iot

http://www.delliotpartners.com/


Visit the IoT Booth

IoT

Expo Entrance

Making Operation Technology Real- Cold Chain Logistics- Critical Asset Monitoring- The Future of Buildings- Video Surveillance


Monday Tuesday Wednesday Thursday8:00

8:30

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Join other IoT sessionsBirds of a Feather

Dirty, Dank and Dangerous: IoT Computing in harsh environments (Marcello 4401A)

Dirty, Dank and Dangerous: IoT Computing in harsh environments (Lido 3001A)

Dell Technologies Edge to Core to Cloud IoT infrastructure (Murano 3205)

Keys to Successful Enterprise Internet of Things Initiatives (Marcello 4403)

Keys to Successful Enterprise Internet of Things Initiatives (Palazzo N)

Hands-on-Lab: Build an Internet of Things System (HOL Classroom)

Birds of a Feather1- Digital Transformation Success Stories (Galileo 901)2- Building your business case for IoT (Lando 4201A)3- IoT & The Video Vortex (Marco Polo 703)

How the Internet of Things is changing the way we work (San Palo 3403)Hands-on-Lab: Build

an Internet of Things System (HOL Classroom)

Best practices for IoT security(San Polo 3401A)

Interoperability by Extending Cloud Native

to the Edge (Zeno 4702)

Main Stage IoT Keynote

Jeff Clarke, Pat Gelsinger

Dell Technologies Edge to Core to Cloud IoT

infrastructure (Lando 4205)

Is the Edge eating the Cloud? (Murano 3201A)

Technology Track Leadership Track CODE Track Hands on Lab Keynote

Documents

Dell Technologies from Edge to Core to Cloud Technologies from Edge to Core to Cloud IoT Infrastructure for Distributed Analytics, ... IoT Analytics and Monetization. 14: Organizations