How can you as an industrial company or service provider collect and analyse data from your operational production equipment in a simple, fast and smart way? During this session, HPE gives you some practical examples – and what’s more, you’ll discover the underlying reference architecture. As a result, you’ll boost the efficiency of your production process and tune the services you provide to the needs of your customers.

1. OPERATIONAL INFORMATION
PROCESSING
Lightning-fast, delightfully simple
Stefan De Schuyter
HPE BeLux

2. From Mechanical to Intelligent Assets
OPERATIONAL TECHNOLOGY
2
Automation of Individual
activities
• Mainframe system
• PCs, LANs
• Proprietary controlled
machines
1960 - 1980
Electromechanical
Assets
IT OT
Integrating automated
activities
• Client-Server
Computing
• TCP/IP, Internet
• Web, SOA & ESBs
• PLC, SCADA, M2M
• Embedded Computers
IT OT
Connected
Assets
1980 - 2000
Integrating automated
‘Things’ & activities
• Everything
interconnected
• Data & Apps everywhere
• 5G, Real-time is the
norm
• Go Smart with AI & ML
• Autonomous
Infrastructure
IoT
Intelligent
Assets
2020 - ….
Automating individual
‘Things’
• Cloud connected assets
• Wireless connectivity
• MQTT, IoT Platforms
• Big Data use cases
• Software Defined
Infrastruct.
2000 - 2020
OT
Automated
Assets
IT

3. USE OF APPS & DATA IS CHANGING
More connected people & machines generating more & more data
3
Machine
data
Human
data
Business
data
faster growth than
traditional business
data
10X
IoT
Fast Data
Real Time
Analytics
AI
Big Data
HPC
ML

4. OPERATIONAL INFORMATION
PROCESSING
Use cases
Common IT characteristics
QuickStart examples
4

5. OPERATIONAL INFORMATION
PROCESSING
Use cases
Common IT characteristics
QuickStart examples
5

6. TRANSFORM FOR A NEW SPEED OF BUSINESS
6
Time to market
Time to delight
Time to insight
Time to action
Time to market
Time to delight
Time to insight
Time to action
Time to market
Time to delight
Time to insight
Time to market
Time to delight
Time to insight
Time to action
Time to market
Time to delight
Real-time is the new just-in-
time
Lightning-fast

8. Matt Harris
Head of IT for AMG F1

9. Using AI to power Intelligent Asset Management
THE “SMART MEASURING TRAIN”
9

10. 10
HPE

11. Drastically improve industrial service & operations
INTELLIGENT ANALYTICS ON ASSET PERFORMANCE
11

12. 12

13. OPERATIONAL INFORMATION
PROCESSING
Use cases
Common IT
characteristics
QuickStart examples
13

14. HOW TO MAKE THIS DELIGHTFULLY SIMPLE
14
Quality Controllers
Business Analysts
Chief Marketing
Researchers
Engineers

15. Handling Data Streams from Edge to Cloud
COMMON IT CHARACTERISTICS
15
Intelligent Edge Hybrid Cloud
Business systems
Cloud of
Services
Cloud of
Machines
Quality Controllers
Business Analysts
Chief Marketing
Researchers
Engineers
“IoT”
Edge processing of data in motion
Distributed data flow mgmt
Analytic services
Model
serving
Data acquisition
Data is:
– Acquired,aggregated
– Queued,routed,
– Cached& stored locally
Analytic services
“Fast data”
Core processing of data in motion
Parallel data flow mgmt
Model
serving
Data is:
– Ingested, restructured,enriched
– Persisted for real time usage
– Used for offline analytics
“Big Data & AI”
Machine Learning
Parallel analytic framework Machine Learning
Models
Data is:
- Hosted in a data lake
- Transformed& restructured
- Molded by rules & models
Data creates:
- Trained Models
- Analytics Models
- Test models
“Insights”
Business Intelligence
Data Analytics
Dash boarding
Reporting
Data is used
Latency, Bandwidth, Cost, Security, Compliance, Integrity
“Shift Left” of Data Processing closer to The Edge

16. Delightfully simple
HPE INFRASTRUCTURE
16
Intelligent Edge Hybrid Cloud
Invisible
IT
Intelligent, Autonomous &
Cloud Managed Infrastructure
On-Prem, ‘as a Service’

17. Delightfully simple
HPE INFRASTRUCTURE
17
Intelligent Edge Hybrid Cloud
Servers
Storage
Networking
Cloud of
Services
Cloud of
Machines
Intelligent, Autonomous &
Cloud Managed Infrastructure

18. OPERATIONAL INFORMATION
PROCESSING
Use cases
Common IT characteristics
QuickStart examples
18

19. HPE REFERENCE ARCHITECTURES
QUICK-START IMPLEMENTATION & INTEGRATIONS
www.hpe.com/info/ra
19

20. Handling Data Streams from Edge to Cloud
COMMON IT CHARACTERISTICS
20
Intelligent Edge Hybrid Cloud
Business systems
Cloud of
Services
Cloud of
Machines
Quality Controllers
Business Analysts
Chief Marketing
Researchers
Engineers
“IoT”
Edge processing of data in motion
“Fast data”
Core processing of data in motion
“Big Data & AI”
Machine Learning
“Insights”
Business Intelligence
Data Analytics
Dash boarding
Reporting
HPE Edgeline
EL4000
HPE Edgeline
EL300 HPE
Disaggregated HCI
Anthos
Intelligently Connected & Protected

21. Handling Data Streams from Edge to Cloud
COMMON IT CHARACTERISTICS
21
Intelligent Edge Hybrid Cloud
Business systems
Cloud of
Services
Cloud of
Machines
Quality Controllers
Business Analysts
Chief Marketing
Researchers
Engineers
“IoT”
Edge processing of data in motion
“Fast data”
Core processing of data in motion
“Big Data & AI”
Machine Learning
“Insights”
Business Intelligence
Data Analytics
Dash boarding
Reporting
HPE Edgeline
EL300CloudGate HPE
Proliant
Intelligently Connected & Protected
Azure IoT Hub

22. Pre-validated, factory-integrated, optimized for Microsoft Azure Stack
HPE REFERENCE ARCHITECTURES
22
Azure IoT Hub
Preview*
Stack
Public Cloud On-prem

23. An accelerated AI Platform – FPGA powered solution on HPE Edgeline
MICROSOFT PROJECT BRAINWAVE & HPE EDGELINE
23
Fast: Ultra –low latency, with high throughput serving of DNN models at low batch sizes
Flexible: Future proof, adaptable to fast-moving AI-space and evolving model types
Friendly: Turnkey deployment of TensorFlo/CNTK/Caffe etc
FPGA powered edge: Bringing power & speed to the edge
HPE Edgeline EL4000Microsoft FPGA

24. Optimizing operations & industrial performance
HPE EDGELINE IOT QUICK CONNECT
24

25. Lightning-fast & delightfully simple
HPE EDGELINE IOT QUICK CONNECT
25
Intelligent Edge Hybrid Cloud
Cloud of
Services
Cloud of
Machines
Quality Controllers
Business Analysts
Chief Marketing
Researchers
Engineers

26. HPE EDGELINE OT LINK PLATFORM
26
Modbus TCP
CANbus
Industrial I/O
Modules
TSN
GPIO
DIO/ADC/DAC
RS232/422/485
CAN bus
OT Link platform
DataHub
Apps
Flows
Industrial Drivers
Data Normalization
Workload
Orchestrator
Workload deployment
& Management
Data Flow
Management
Integration

27. Simplify OT Device integration @The Edge
HPE EDGELINE OT LINK PLATFORM
27

28. Simplify Modeling of Data Flows @The Edge
HPE EDGELINE OT LINK PLATFORM
28

29. Simplify Cloud Integrations @The Edge
HPE EDGELINE OT LINK PLATFORM
29

30. Simplify Cloud Integrations @The Edge
HPE EDGELINE OT LINK PLATFORM
30

31. @HPE BOOTH
31

32. OPERATIONAL INFORMATION
PROCESSING
• Large eco-system of the best technology & service partners
• Market leading solutions from Edge to Core to Cloud
• Intelligent, autonomous & cloud managed
• Reference architectures
• On-prem, ‘as a Service’
32
Lightning-fast, delightfully simple

33. OPERATIONAL INFORMATION
PROCESSING
33
Lightning-fast, delightfully simple
Thank you!