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IoT Business Development
Workshop
Industrial Automation Track
DANIEL LI
IOT DX BOOTCAMP SHANXI
IATrack
Industrial Automation Track
IATrack
Do IA Projects Make Profits?
Opportunity is Clearly There
IATrack
IoT DX Bootcamp Shanxi
IoT = IT + OT + Devices + ISV/SI
Distinct teams
& apps
OEM Partner
Solutions
Vertical
Expertise
End User
Project Prime
1
2
3
4
 Highlight
 Growing number of developing POCs provide
GTM discussions with partners
 Signs of organization and business
transformation in device partners
 IoT Aggregator and Accelerator program in
place to boost POC/POB
 Lowlight
 Long lead time; developer shortage
 Unable to convert POCs to repeatable sale
because of customization and vertical
expertise required in each end user project
 Lack large deals as ISV/SI owns end user
relationship and OT expertise
 Data privacy and security concerns limit
project size
Our Types of IA Projects
IATrack
Dev & Data BizApps Cloud Platform One Microsoft
Cortana
Intelligence
Suite
SQL
Dynamics
365/
ERP/MES
Power BI
Azure
services
Azure ML IoT Suite
Office 365, Office,
Devices, HoloLens,
Yammer, Skype, etc.
CONNECTED FIELD SERVICE
Replace your costly break-fix service model with a more
proactive “never fail” model using IoT
Partner: N/A
✓ ✓ ✓ ✓ ●
PREDICTIVE MAINTENANCE
Vastly improve operations and asset availability with
predictive and preemptive maintenance
Partner: N/A
✓ ✓ ✓ ✓ ✓ ✓ ●
REMOTE MONITORING
Connect devices worldwide to collect untapped data,
reduce downtime, and increase productivity
Partner: N/A
✓ ✓ ✓ ✓ ✓ ●
CONNECTED FACTORY
Connect industrial devices to monitor, collect data, and
increase productivity and profitability
Partner: N/A
● + ● ✓ ● ✓ ●
AOI BIG COMPUTE
Leverage four solutions: Cloud Workstation ,Cloud
Rendering, Simulation and Analysis, and Deep Learning
and AI Training. Partner: N/A
✓ ● ✓ ● ✓
KEY Embedded in the solution
New functionality under discussion
Interoperates with the solution
✓
●
+
Reference only
IoT Value Chain
Consulting
Prof
Services
(Analytics)
ISV
(Presentation,
Analytics)
Service Provider
(Cloud Platform:
Storage and
Egress)
ISV (AEP)
Connectivity
Service Provider
(MNO, CDP)
Device
(OEM, ISV App,
SI)
IHV
(Silicon,
Gateway)
SI (Solution)
ISV (Enterprise
Integration:
ERP/Vert Spec)
Enterprise/
Consumer
IATrack
Predictive Maintenance
AOI
Advance device mgmt
Remote monitoring
Device mgmt. & provisioning
Connected Field Service
Connected Factory
Certified W10 IoT Devices
• Domain expert, data scientist dependent
• Machine Learning – training set availability
• End user project ownership/project prime
• SOW often involves new features and
customizations
• Less customization; higher level of
productized solutions
• IaaS and PaaS migration
• Device management and monitor driven
• Hardware devicescompatible with
Windows 10 and Azure IoT
Schneider Electronic
Observation 1
IATrack
Predictive Maintenance
Observation 2
IATrack
Azure IoT Platform & Service
Microsoft IoT Central
IoT SaaS
Microsoft Connected Field Service
Field Service SaaS
Azure IoT Suite
Remote Monitoring v2 Predictive Maintenance Connected Factory
Device Support Edge Support IoT Services Data & Analytics Services Visualization & Integration Services
Azure IoT Device
SDK
Certified Devices
Azure Certified
for IoT
Security Program
For Azure IoT
Windows 10
IoT Core
Azure IoT Edge Azure IoT Hub
Azure IoT Hub
Device Provisioning
Service
Azure Stream
Analytics
Azure Time
Series Insights
Azure
Machine Learning
Cosmo DB
Azure HD Insights,
Spark, Storm
Kafka
Azure Event Hub
Azure Data Lake
Analytics
Azure Data Lake
Microsoft Flow
Azure Logic
Apps
Notification
Hub
Azure
Websites
Microsoft
Power BI
Azure Active
Directory
Azure
Monitor
IATrack
Business Model Evolution
Path to Digital Transformation
SaaS PaaS
IATrack
Organization
End
Customer
Rental
Service
Aggregator
End
Customer
Subscription
EA
End
Customer
EA
EA
Credit
Card
Discussion
IATrack
• Deal size
• POC -> Sale; GTM
• Long lead time
• SI/ISV dependence
• Types of end customers
• Common project types
• Higher value, higher
SI/ISV mix
• Machine Learning, data
set often needs external
SI/ISV
• Remote monitoring, field
labor mgmt. require less
customization and
vertical domain expertise
• Edge computing,
AI/ML, DM & DPS
• IoT Central fast
prototyping for device
monitoring
• Reference
architecture
• Transformational –
Dynamic 365
• Dedicated IoT BU &
dev resources
• Separate IoT business
entity
• Pattern of Azure usage
organization
• SaaS and PaaS
business evolution
Rationalize investment
Prioritize GTM
ISV/SI partner recruitment
Balance value and lead time
1x100 = 5x20 …but more fast
Types of service & resource
Portfolio mgmt. for max return
A new pair of shoes does not
win you marathon; Work with
transforming partner
Breakout Presentation – One Pager
IATrack
Rationalize investment
Prioritize GTM
ISV/SI partner recruitment
Balance value and lead time
1x100 = 5x20 …but more fast
Types of service & resource
Portfolio mgmt. for max return
A new pair of shoes does not
win you marathon; Work with
transforming partner

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Azure IoT in Industrial Automation - Practical Considerations

  • 1. IoT Business Development Workshop Industrial Automation Track DANIEL LI IOT DX BOOTCAMP SHANXI IATrack
  • 3. Do IA Projects Make Profits? Opportunity is Clearly There IATrack IoT DX Bootcamp Shanxi IoT = IT + OT + Devices + ISV/SI Distinct teams & apps OEM Partner Solutions Vertical Expertise End User Project Prime 1 2 3 4  Highlight  Growing number of developing POCs provide GTM discussions with partners  Signs of organization and business transformation in device partners  IoT Aggregator and Accelerator program in place to boost POC/POB  Lowlight  Long lead time; developer shortage  Unable to convert POCs to repeatable sale because of customization and vertical expertise required in each end user project  Lack large deals as ISV/SI owns end user relationship and OT expertise  Data privacy and security concerns limit project size
  • 4. Our Types of IA Projects IATrack Dev & Data BizApps Cloud Platform One Microsoft Cortana Intelligence Suite SQL Dynamics 365/ ERP/MES Power BI Azure services Azure ML IoT Suite Office 365, Office, Devices, HoloLens, Yammer, Skype, etc. CONNECTED FIELD SERVICE Replace your costly break-fix service model with a more proactive “never fail” model using IoT Partner: N/A ✓ ✓ ✓ ✓ ● PREDICTIVE MAINTENANCE Vastly improve operations and asset availability with predictive and preemptive maintenance Partner: N/A ✓ ✓ ✓ ✓ ✓ ✓ ● REMOTE MONITORING Connect devices worldwide to collect untapped data, reduce downtime, and increase productivity Partner: N/A ✓ ✓ ✓ ✓ ✓ ● CONNECTED FACTORY Connect industrial devices to monitor, collect data, and increase productivity and profitability Partner: N/A ● + ● ✓ ● ✓ ● AOI BIG COMPUTE Leverage four solutions: Cloud Workstation ,Cloud Rendering, Simulation and Analysis, and Deep Learning and AI Training. Partner: N/A ✓ ● ✓ ● ✓ KEY Embedded in the solution New functionality under discussion Interoperates with the solution ✓ ● + Reference only
  • 5. IoT Value Chain Consulting Prof Services (Analytics) ISV (Presentation, Analytics) Service Provider (Cloud Platform: Storage and Egress) ISV (AEP) Connectivity Service Provider (MNO, CDP) Device (OEM, ISV App, SI) IHV (Silicon, Gateway) SI (Solution) ISV (Enterprise Integration: ERP/Vert Spec) Enterprise/ Consumer IATrack Predictive Maintenance AOI Advance device mgmt Remote monitoring Device mgmt. & provisioning Connected Field Service Connected Factory Certified W10 IoT Devices • Domain expert, data scientist dependent • Machine Learning – training set availability • End user project ownership/project prime • SOW often involves new features and customizations • Less customization; higher level of productized solutions • IaaS and PaaS migration • Device management and monitor driven • Hardware devicescompatible with Windows 10 and Azure IoT
  • 8. Azure IoT Platform & Service Microsoft IoT Central IoT SaaS Microsoft Connected Field Service Field Service SaaS Azure IoT Suite Remote Monitoring v2 Predictive Maintenance Connected Factory Device Support Edge Support IoT Services Data & Analytics Services Visualization & Integration Services Azure IoT Device SDK Certified Devices Azure Certified for IoT Security Program For Azure IoT Windows 10 IoT Core Azure IoT Edge Azure IoT Hub Azure IoT Hub Device Provisioning Service Azure Stream Analytics Azure Time Series Insights Azure Machine Learning Cosmo DB Azure HD Insights, Spark, Storm Kafka Azure Event Hub Azure Data Lake Analytics Azure Data Lake Microsoft Flow Azure Logic Apps Notification Hub Azure Websites Microsoft Power BI Azure Active Directory Azure Monitor IATrack
  • 9. Business Model Evolution Path to Digital Transformation SaaS PaaS IATrack Organization End Customer Rental Service Aggregator End Customer Subscription EA End Customer EA EA Credit Card
  • 10. Discussion IATrack • Deal size • POC -> Sale; GTM • Long lead time • SI/ISV dependence • Types of end customers • Common project types • Higher value, higher SI/ISV mix • Machine Learning, data set often needs external SI/ISV • Remote monitoring, field labor mgmt. require less customization and vertical domain expertise • Edge computing, AI/ML, DM & DPS • IoT Central fast prototyping for device monitoring • Reference architecture • Transformational – Dynamic 365 • Dedicated IoT BU & dev resources • Separate IoT business entity • Pattern of Azure usage organization • SaaS and PaaS business evolution Rationalize investment Prioritize GTM ISV/SI partner recruitment Balance value and lead time 1x100 = 5x20 …but more fast Types of service & resource Portfolio mgmt. for max return A new pair of shoes does not win you marathon; Work with transforming partner
  • 11. Breakout Presentation – One Pager IATrack Rationalize investment Prioritize GTM ISV/SI partner recruitment Balance value and lead time 1x100 = 5x20 …but more fast Types of service & resource Portfolio mgmt. for max return A new pair of shoes does not win you marathon; Work with transforming partner