PUTTING IOT IN ACTION - Hewlett Packard Enterprise · 2019-10-29 · Source IDC IOT spending June...

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HPE DISCOVER MORE PUTTING IOT IN ACTION Mohammed Hafiz Darvesh, Solution Leader October 15, 2019

Transcript of PUTTING IOT IN ACTION - Hewlett Packard Enterprise · 2019-10-29 · Source IDC IOT spending June...

Page 1: PUTTING IOT IN ACTION - Hewlett Packard Enterprise · 2019-10-29 · Source IDC IOT spending June 2018, Middle East and Africa region 5 « 10% of enterprise-generated data is created

HPE DISCOVER MORE

PUTTING IOT IN ACTION

Mohammed Hafiz Darvesh, Solution LeaderOctober 15, 2019

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AGENDA

01 The Edge is a Place

02 Market Opportunity

03 HPE Edgeline Promise of Value

04 It is Real and Happening

05 Interested? Next Steps?

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Sports arenas

Electrical power grid

Planes, trains, automobiles

Medical facility

Wind farm

Energy power plant

Ships, boats, submarines

Crop fields

Residences

People, animals, nature

Manufacturing floor

Buildings, Branch Office

PLACE where new data sources meet actions

Simply ... The Edge is NOT the data center and NOT the cloud

and the cloud is just a data center you don’t know where it is

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Industrial Edge Telco & Media Edge

Analytics and AI Edge Workspace Edge

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THE EDGE OPPORTUNITYMIDDLE EAST AFRICA

5Source IDC IOT spending June 2018, Middle East and Africa region

« 10% of enterprise-generated data is created and processedoutside a traditional centralized data center or cloud. By 2025, Gartner predicts this figure will reach 75% »

$811

$966

$1,174

$1,410

$390

$463

$557

$650

$1,390

$1,673

$2,039

$2,412

$301

$374

$480

$591

$- $500 $1,000 $1,500 $2,000 $2,500 $3,000

2019

2020

2021

2022

IoT Spend (in M$)

Software Services Hardware Connectivity

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INDUSTRIES WHERE AND HOW?

IDC Semiannual Internet of Things Spending Guide, November 2017’

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EDGE BUT WHICH ONE?

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Data center / Cloud

Deep analytics and compute“Things”

generate data and need control

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EDGE BUT WHICH ONE?

“Things” generate data and need control

Data acquired and aggregated

Data is sensed,Things controlled

Data center / Cloud

Deep analytics and compute

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EDGE BUT WHICH ONE?

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“Things” generate data and need control

Early analytics and compute

Stage 3

Edge IT

Connect, Compute and Control

Data acquired and aggregated

Data is sensed,Things controlled

Stage 1 Stage 2

Edge OT Data center / Cloud

Deep analytics and compute

Stage 4

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EDGE BUT WHICH ONE?

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“Things” generate data and need control

Early analytics and compute

Stage 3

Edge IT

Data acquired and aggregated

Data is sensed,Things controlled

Stage 1 Stage 2

Edge OT Data center / Cloud

Deep analytics and compute

Stage 4

Edgeline Converged IO+OT Models, OTLink, SW, Services

Connect, Compute and Control

Edgeline Edge Server Models, SW

Compute

Moonshot Servers

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WHY COMPUTE AT THE EDGE?

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EDGELINE PROMISE OF VALUE 1/2Open enterprise class IT at the edge

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2019 MWC Best Edge InfrastructureFutura/Marketwatch

Run unmodified enterprise applications at the edge

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EDGELINE PROMISE OF VALUE 2/2

Convergence of OT and IT

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OT Link Platform SWApple did for

the consumer integrate all functions into one

2019 Firestarter Award451 Research

* OT = Control systems, Data acquisition systems, & industrial networks

Connect, Compute, Control

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Industrial Edge Telco & Media Edge

Analytics and AI Edge Workspace Edge

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EDGELINE IN AUTOMOTIVEProduction line quality control

+ OT LinkHW & SW

Wired sensor networks

OT Systems The Edge

Wired sensor networks

Edgeline System

Former Outdated Models

New Converged Model

Door handles, wipers, locks, lighting

infotainment, ect.

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EDGELINE IN OIL & GAS PRODUCTION

Customer benefits

Platform Value

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– Aggregate data from >100 asset types (incl. 3rd party)

– Run analytics for local reporting and optimization– Fast setup and repair. Easy maintenance.

– Rugged edge-optimized system with direct OT* connectivity

– Highly available, modular system for rapid deployment and serviceability

– HPE remote systems management

Communications Equipment

FR Data Uplink

Field Equipment

Sensors

Process Control Systems

Converged OTEthernet or Industrial Protocols (MODBUS, PROFINET ect.)

1-4 M.2 SSDs

1-4 M.2 SSDs

1-4 M.2 SSDs

1-4 M.2 SSDs

VMware vSAN- Up to 48TB raw storage

Operations APP 1

ESXi VM1

Operations APP 1

ESXi VM2

Operations APP 1

ESXi #N

Ethernet/WiFi/LTE

HPE Edgeline EL4000Converged Edge Systems

Enterprise IT+

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Industrial Edge Telco & Media Edge

Analytics and AI Edge Workspace Edge

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UNLEASHING THE TELCO EDGE

Edge is where the action is in 5GConvergence of Network and Enterprise Applications

VA

Video

AR/VR

AI/MLInferencing

MEC

EPC

vRAN

CPE

pLTE

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Cascade Lake CPU Cascade Lake CPU

Smart NIC Smart NIC

Empty Slot Empty Slot

vRAN Function

.....

NIC FPGA

AccelerationTraffic & Time Sync.

Mobile Edge Computing

Platform

Mobile Edge Computing

Platform

vRAN Function

.....

GPU

GPU

GPU

GPU

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Industrial Edge Telco & Media Edge

Analytics and AI Edge Workspace Edge

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EDGELINE WORKSTATION AT MERCEDES AMC F1Delivering predictable performance on the F1 Edge

Delivering on :

High AvailabilityEnterprise class management/redundancy

High PerformanceSupporting 4K screen resolution

Space Savings4 servers/GPU per 1U

Reliability in harsh environmentsPit lanes at race tracks

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Mercedes AMG F1:Powering the Pit Lane Video Wall

HPE EL4000

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Industrial Edge Telco & Media Edge

Analytics and AI Edge Workspace Edge

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AI-ASSISTED VIDEO ANALYSIS

Store TypeCamera

Streams1 Network UtilizationStorage

(30 days)2

Small Retail 10 82 Mbps 13 TB

Large Retail 60 490 Mbps 79 TB

Warehouse 250 2 Gbps 330 TB

1 1080P (Full HD), 30 fps, 50KB frames, H.264 encoded, Medium VQ streams2 Assume 12 hours of motion per day

More & More Video Data Generated

0M

200M

400M

600M

800M

1,000M

2016 2020

1 billion installed security cameras WW (2020)30 billion frames per day

More & More Cameras Installed

Video is Best Analyzed at the Edge

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An operator can typically monitor a maximum of approximately

16 camera feeds at any given time.

AI ASSISTED VIDEO ANALYSISDriving efficiencies

Traditional Operator Based AI Assisted

With AI an operator can monitor upwards of

600camera feeds at any given time.

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FOXCONN MANUFACTURINGPointnext + Edgeline + ISV Partner

Automated Server Quality Audit using Gantry Robot, Cameras, HPE Edgeline

EL4000 and User-intuitive, Flexible and Scalable AI Training

1 plate requires high quality photos (75MB or 600Mbs) which must be processed real-time

Cloud21 seconds

Edgeline1 secondProcessing Time vs.

Benefits

ROI~ 1.5 years*

* Depends on factory volume

Product qualityFirst Pass Yield + 1%

Out Of Box audit -25%

Customer Experience

Defect on Arrival -25%

Factory contains 5 progressive assembly lines, for ~ 45,000

units/month. The system saves 96 sec on each unit assembly audit.

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AI-ASSISTED VIDEO ANALYSISRetail use case Product placement

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THANK YOUMohammed Hafiz Darvesh

[email protected]

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