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Track 3 session 5 - st dev con 2016 - microsoft - from sensors to business value azure iot
1.
2.
3.
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…
6. And data from that device…
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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…
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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…
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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
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
22.
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
24.
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
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
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