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What if I could tell when it’s the best time for my things to _______ ?
What if my things could tell me when they go someplace they shouldn’t?
What if I simply knew where my things were?
What if I knew when my things were going to break before they did?
What if I could use device telemetry to improve next generation devices?
What insights could I find from all of my devices?
It all starts with a great idea…
Next comes a device…
And data from that device…
01001010100010101001010100101010101001010101010110101
And securing the device…
01001010100010101001010100101010101001010101010110101
And insights from that data…
01001010100010101001010100101010101001010101010110101
Then lots of devices and data…
0100101010001010100101010010101010100101010101011010
0100101010001010100101010010101010100101010101011010101010001
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010101010001011110101010101010100
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010
01001010100010101001010100101010101001010101010110101010101010
01001010100010101001010100101010101001010101010110101010101001001010110001010101010
010010101000101010010101001010101010010101010101101010101011000101001011
Then monitoring their data in real time…
0100101010001010100101010010101010100101010101011010
0100101010001010100101010010101010100101010101011010101010001
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010101010001011110101010101010100
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010
01001010100010101001010100101010101001010101010110101010101010
01001010100010101001010100101010101001010101010110101010101001001010110001010101010
010010101000101010010101001010101010010101010101101010101011000101001011
Then looking for patterns and insights in the data over time…
0100101010001010100101010010101010100101010101011010
0100101010001010100101010010101010100101010101011010101010001
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010101010001011110101010101010100
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010
01001010100010101001010100101010101001010101010110101010101010
01001010100010101001010100101010101001010101010110101010101001001010110001010101010
010010101000101010010101001010101010010101010101101010101011000101001011
Then managing and updating the software on these devices…
0100101010001010100101010010101010100101010101011010
0100101010001010100101010010101010100101010101011010101010001
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010101010001011110101010101010100
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010
01001010100010101001010100101010101001010101010110101010101010
01001010100010101001010100101010101001010101010110101010101001001010110001010101010
010010101000101010010101001010101010010101010101101010101011000101001011
And visualizing and managing all of these services…
0100101010001010100101010010101010100101010101011010
0100101010001010100101010010101010100101010101011010101010001
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010101010001011110101010101010100
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010
01001010100010101001010100101010101001010101010110101010101010
01001010100010101001010100101010101001010101010110101010101001001010110001010101010
010010101000101010010101001010101010010101010101101010101011000101001011
IoT can get complicated quickly
And that’s where Azure comes in
Innovation at work – real world IoT use cases
Electric
charging
stations
Street
sweepers
Postboxes
Aircrafts
Auto
Elevators
Factory floor
Oil equipment
Cows
Engines
Vending
machines
Buildings
Fryers
Medical devices
Vaccine
dispensers
Trucks
BusesDogs
Oil distribution
Smart meters
Internet
of Things
Power plant
Surveillance
Power tools
Racing
Mining
equipment
Smart grids
Measurements
and Data
Ingestion, Business Logic
and Transformation
Consumption within
Business Processes
Measurements
and Data
Ingestion, Business Logic
and Transformation
Consumption within
Business Processes
Remote Diagnostics on key parameters, alarm response
Management of multi brand systems
Dynamic Maintenance for UPS
> 30% Revenue increase in first 3 months
> Remote resolution of 40% of service tickets
Key Data: Electrical current consumption
Monitoring of Food Machinery
> Allow Retro fitting for entire market
> Huge Competitive positioning differentiator
Geolocalization, Consumption details, Machine KPIs
Control Sales in Real Time
> Verify ‘non contractual’ comsumption
> Efficient and Effective Maintenance and Cleaning
Portable
Gateway
Car
Gateway
Desktop
Gateway
In-room
Gateway
Wearable
Gateway
Portable
Devices
Desktop
Devices
Floortop
Devices
Ambient
Sensors
Wearable
Sensors
Wearable
Devices
The most interesting aspect of the Internet of things is the world of humans that use it.
• Context - Each “thing” or connected device is part of
the digital shadow of a person, essential to enable
deeply contextualized services.
• Assistance & Task Completion - This informs
business operations and services as much as it
informs an individual’s engagement and behavior.
• Understanding Intent - Every new dimension of
data increases predictive power, enabling an
agent or chat bot to contextually answer the
question: “What does the human want?”
• Knowledge & Insight - From the data streams
that implement the “digital shadow”, we can use
predictive analytics to understand people’s
needs and behaviors better than ever before.
‘THINGS’ - THE DIGITAL SHADOW OF A PERSON
Workstation SensorsSpace Sensors Personal Sensors
Workspace Intelligence
Meeting Room Sensors
Meeting JumpStartProximityQuantified Self Wayfinding
Building Sensors
INTELLIGENT CLOUD + IoT
Office Delve
Azure Active Directory
Azure IoT Suite
Microsoft Flow
Cortana Intelligence Suite
IoT-enabled Signals, Inferences, Experiences
Cortana
Languages
Devices
Protocols
Operating Systems
Work with any device
Connect to existing
solutions and business processes
RTOS
Business solutions and processes
And other business systems
• Azure IoT Hub
• Device SDK
• Gateway SDK
• Windows 10 IoT Core
• Device Management
• Power BI
• Azure App Service
• Azure Mobile Apps
• Azure API
Management
• Azure Logic Apps
Using… Using…
Microsoft
Dynamics
• C
• Node.js
• Java
• .NET
• Python
• MQTT
• HTTP
• AMQP
• LwM2M
AZURE REGIONS
30Azure regions
around the world
More than AWS and Google Cloud
combined
Platform Services
Infrastructure Services
Web Apps
Mobile
Apps
API
Management
API Apps
Logic Apps
Notification
Hubs
Content
Delivery
Network (CDN)
Media
Services
BizTalk
Services
Hybrid
Connections
Service Bus
Storage
Queues
Hybrid
Operations
Backup
StorSimple
Azure Site
Recovery
Import/Export
SQL
Database
DocumentDB
Redis
Cache
Azure
Search
Storage
Tables
Data
Warehouse Azure AD
Health Monitoring
AD Privileged
Identity
Management
Operational
Analytics
Cloud
Services
Batch
RemoteApp
Service
Fabric
Visual Studio
App
Insights
Azure
SDK
VS Online
Domain Services
HDInsight Machine
Learning
Stream
Analytics
Data
Factory
Event
Hubs
Mobile
Engagement
Data
Lake
IoT Hub
Data
Catalog
Security &
Management
Azure Active
Directory
Multi-Factor
Authentication
Automation
Portal
Key Vault
Store/
Marketplace
VM Image Gallery
& VM Depot
Azure AD
B2C
Scheduler
From endpoint to insight to action, across the enterprise, and around the world
Built on the industry’s leading cloud
Secure
End-to-end
From endpoint and connection
through to data and the cloud
Open
Connect anything
Any device, OS, data source,
software, or service
Fast
Start in minutes
Preconfigured solutions for the
most common IoT scenarios
Magic Quadrant Leader, Business Intelligence and Analytics Platforms*
Scalable
Grow effortlessly
Millions of devices, terabytes of
data, on-premises and in the
cloud, in 30 regions worldwide
PeopleData Insights ActionGatewaysDevices
*February 2015. The Gartner Magic Quadrant for Business Intelligence and Analytics Platforms is the property of Gartner, Inc. and available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research
publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of
fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. The above graphics were published by Gartner, Inc. as part of a larger research document
and should be evaluated in the context of the entire document.
Sources:
1McKinsey, How IoT Can Support A Dynamic Maintenance Program, 2016
2IDC, 2016
~80%
margin1
driven by apps,
analytics, and
services in 2020
Average increase in
income for the most
digitally transformed
enterprises
$100M
2020
2009
30B
Things
Income
Intelligence
“Every business will become
a software business, build
applications, use advanced
analytics and provide
SaaS services.“
- Satya Nadella
2
2
Track 3   session 5 - st dev con 2016 - microsoft - from sensors to business value azure iot
Track 3   session 5 - st dev con 2016 - microsoft - from sensors to business value azure iot
Track 3   session 5 - st dev con 2016 - microsoft - from sensors to business value azure iot
Track 3   session 5 - st dev con 2016 - microsoft - from sensors to business value azure iot

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Track 3 session 5 - st dev con 2016 - microsoft - from sensors to business value azure iot

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  • 4. What if I could tell when it’s the best time for my things to _______ ? What if my things could tell me when they go someplace they shouldn’t? What if I simply knew where my things were? What if I knew when my things were going to break before they did? What if I could use device telemetry to improve next generation devices? What insights could I find from all of my devices? It all starts with a great idea…
  • 5. Next comes a device…
  • 6. And data from that device… 01001010100010101001010100101010101001010101010110101
  • 7. And securing the device… 01001010100010101001010100101010101001010101010110101
  • 8. And insights from that data… 01001010100010101001010100101010101001010101010110101
  • 9. Then lots of devices and data… 0100101010001010100101010010101010100101010101011010 0100101010001010100101010010101010100101010101011010101010001 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010101010001011110101010101010100 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010 01001010100010101001010100101010101001010101010110101010101010 01001010100010101001010100101010101001010101010110101010101001001010110001010101010 010010101000101010010101001010101010010101010101101010101011000101001011
  • 10. Then monitoring their data in real time… 0100101010001010100101010010101010100101010101011010 0100101010001010100101010010101010100101010101011010101010001 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010101010001011110101010101010100 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010 01001010100010101001010100101010101001010101010110101010101010 01001010100010101001010100101010101001010101010110101010101001001010110001010101010 010010101000101010010101001010101010010101010101101010101011000101001011
  • 11. Then looking for patterns and insights in the data over time… 0100101010001010100101010010101010100101010101011010 0100101010001010100101010010101010100101010101011010101010001 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010101010001011110101010101010100 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010 01001010100010101001010100101010101001010101010110101010101010 01001010100010101001010100101010101001010101010110101010101001001010110001010101010 010010101000101010010101001010101010010101010101101010101011000101001011
  • 12. Then managing and updating the software on these devices… 0100101010001010100101010010101010100101010101011010 0100101010001010100101010010101010100101010101011010101010001 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010101010001011110101010101010100 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010 01001010100010101001010100101010101001010101010110101010101010 01001010100010101001010100101010101001010101010110101010101001001010110001010101010 010010101000101010010101001010101010010101010101101010101011000101001011
  • 13. And visualizing and managing all of these services… 0100101010001010100101010010101010100101010101011010 0100101010001010100101010010101010100101010101011010101010001 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010101010001011110101010101010100 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010 01001010100010101001010100101010101001010101010110101010101010 01001010100010101001010100101010101001010101010110101010101001001010110001010101010 010010101000101010010101001010101010010101010101101010101011000101001011
  • 14. IoT can get complicated quickly And that’s where Azure comes in
  • 15. Innovation at work – real world IoT use cases Electric charging stations Street sweepers Postboxes Aircrafts Auto Elevators Factory floor Oil equipment Cows Engines Vending machines Buildings Fryers Medical devices Vaccine dispensers Trucks BusesDogs Oil distribution Smart meters Internet of Things Power plant Surveillance Power tools Racing Mining equipment Smart grids
  • 16. Measurements and Data Ingestion, Business Logic and Transformation Consumption within Business Processes
  • 17. Measurements and Data Ingestion, Business Logic and Transformation Consumption within Business Processes
  • 18. Remote Diagnostics on key parameters, alarm response Management of multi brand systems Dynamic Maintenance for UPS > 30% Revenue increase in first 3 months > Remote resolution of 40% of service tickets
  • 19. Key Data: Electrical current consumption Monitoring of Food Machinery > Allow Retro fitting for entire market > Huge Competitive positioning differentiator
  • 20. Geolocalization, Consumption details, Machine KPIs Control Sales in Real Time > Verify ‘non contractual’ comsumption > Efficient and Effective Maintenance and Cleaning
  • 21. Portable Gateway Car Gateway Desktop Gateway In-room Gateway Wearable Gateway Portable Devices Desktop Devices Floortop Devices Ambient Sensors Wearable Sensors Wearable Devices The most interesting aspect of the Internet of things is the world of humans that use it. • Context - Each “thing” or connected device is part of the digital shadow of a person, essential to enable deeply contextualized services. • Assistance & Task Completion - This informs business operations and services as much as it informs an individual’s engagement and behavior. • Understanding Intent - Every new dimension of data increases predictive power, enabling an agent or chat bot to contextually answer the question: “What does the human want?” • Knowledge & Insight - From the data streams that implement the “digital shadow”, we can use predictive analytics to understand people’s needs and behaviors better than ever before. ‘THINGS’ - THE DIGITAL SHADOW OF A PERSON
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  • 23. Workstation SensorsSpace Sensors Personal Sensors Workspace Intelligence Meeting Room Sensors Meeting JumpStartProximityQuantified Self Wayfinding Building Sensors INTELLIGENT CLOUD + IoT Office Delve Azure Active Directory Azure IoT Suite Microsoft Flow Cortana Intelligence Suite IoT-enabled Signals, Inferences, Experiences Cortana
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  • 25. Languages Devices Protocols Operating Systems Work with any device Connect to existing solutions and business processes RTOS Business solutions and processes And other business systems • Azure IoT Hub • Device SDK • Gateway SDK • Windows 10 IoT Core • Device Management • Power BI • Azure App Service • Azure Mobile Apps • Azure API Management • Azure Logic Apps Using… Using… Microsoft Dynamics • C • Node.js • Java • .NET • Python • MQTT • HTTP • AMQP • LwM2M
  • 26. AZURE REGIONS 30Azure regions around the world More than AWS and Google Cloud combined
  • 27. Platform Services Infrastructure Services Web Apps Mobile Apps API Management API Apps Logic Apps Notification Hubs Content Delivery Network (CDN) Media Services BizTalk Services Hybrid Connections Service Bus Storage Queues Hybrid Operations Backup StorSimple Azure Site Recovery Import/Export SQL Database DocumentDB Redis Cache Azure Search Storage Tables Data Warehouse Azure AD Health Monitoring AD Privileged Identity Management Operational Analytics Cloud Services Batch RemoteApp Service Fabric Visual Studio App Insights Azure SDK VS Online Domain Services HDInsight Machine Learning Stream Analytics Data Factory Event Hubs Mobile Engagement Data Lake IoT Hub Data Catalog Security & Management Azure Active Directory Multi-Factor Authentication Automation Portal Key Vault Store/ Marketplace VM Image Gallery & VM Depot Azure AD B2C Scheduler
  • 28. From endpoint to insight to action, across the enterprise, and around the world Built on the industry’s leading cloud Secure End-to-end From endpoint and connection through to data and the cloud Open Connect anything Any device, OS, data source, software, or service Fast Start in minutes Preconfigured solutions for the most common IoT scenarios Magic Quadrant Leader, Business Intelligence and Analytics Platforms* Scalable Grow effortlessly Millions of devices, terabytes of data, on-premises and in the cloud, in 30 regions worldwide PeopleData Insights ActionGatewaysDevices *February 2015. The Gartner Magic Quadrant for Business Intelligence and Analytics Platforms is the property of Gartner, Inc. and available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document.
  • 29. Sources: 1McKinsey, How IoT Can Support A Dynamic Maintenance Program, 2016 2IDC, 2016 ~80% margin1 driven by apps, analytics, and services in 2020 Average increase in income for the most digitally transformed enterprises $100M 2020 2009 30B Things Income Intelligence “Every business will become a software business, build applications, use advanced analytics and provide SaaS services.“ - Satya Nadella 2 2