track 3 session 5 - st dev con 2016 - microsoft - from sensors to business value azure iot
TRANSCRIPT
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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…
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Next comes a device…
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And data from that device…
0100101010001010100101010010101010100101010101011010101010….
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And securing the device…
0100101010001010100101010010101010100101010101011010101010….
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And insights from that data…
0100101010001010100101010010101010100101010101011010101010….
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Then lots of devices and data…
0100101010001010100101010010101010100101010101011010
0100101010001010100101010010101010100101010101011010101010001
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010101010001011110101010101010100
01001010100010101001010100101010101001010101010110101010101010101000101010
0100101010001010100101010010101010100101010101011010101010….
010010101000101010010101001010101010010101010101101010101010101
01001010100010101001010100101010101001010101010110101010101001001010110001010101010
010010101000101010010101001010101010010101010101101010101011000101001011
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Then monitoring their data in real time…
0100101010001010100101010010101010100101010101011010
0100101010001010100101010010101010100101010101011010101010001
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010101010001011110101010101010100
01001010100010101001010100101010101001010101010110101010101010101000101010
0100101010001010100101010010101010100101010101011010101010….
010010101000101010010101001010101010010101010101101010101010101
01001010100010101001010100101010101001010101010110101010101001001010110001010101010
010010101000101010010101001010101010010101010101101010101011000101001011
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Then looking for patterns and insights in the data over time…
0100101010001010100101010010101010100101010101011010
0100101010001010100101010010101010100101010101011010101010001
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010101010001011110101010101010100
01001010100010101001010100101010101001010101010110101010101010101000101010
0100101010001010100101010010101010100101010101011010101010….
010010101000101010010101001010101010010101010101101010101010101
01001010100010101001010100101010101001010101010110101010101001001010110001010101010
010010101000101010010101001010101010010101010101101010101011000101001011
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Then managing and updating the software on these devices…
0100101010001010100101010010101010100101010101011010
0100101010001010100101010010101010100101010101011010101010001
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010101010001011110101010101010100
01001010100010101001010100101010101001010101010110101010101010101000101010
0100101010001010100101010010101010100101010101011010101010….
010010101000101010010101001010101010010101010101101010101010101
01001010100010101001010100101010101001010101010110101010101001001010110001010101010
010010101000101010010101001010101010010101010101101010101011000101001011
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And visualizing and managing all of these services…
0100101010001010100101010010101010100101010101011010
0100101010001010100101010010101010100101010101011010101010001
0100101010001010100101010010101010100101010101011010101010101010100010101
010010101000101010010101001010101010010101010101101010101010001011110101010101010100
01001010100010101001010100101010101001010101010110101010101010101000101010
0100101010001010100101010010101010100101010101011010101010….
010010101000101010010101001010101010010101010101101010101010101
01001010100010101001010100101010101001010101010110101010101001001010110001010101010
010010101000101010010101001010101010010101010101101010101011000101001011
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IoT can get complicated quickly
And that’s where Azure comes in
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Innovation at work – real world IoT use cases
Electric charging stations
Street sweepers
Postboxes
AircraftsAuto
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
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Measurements
and Data
Ingestion, Business Logic
and Transformation
Consumption within
Business Processes
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Measurements
and Data
Ingestion, Business Logic
and Transformation
Consumption within
Business Processes
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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
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Key Data: Electrical current consumption
Monitoring of Food Machinery
> Allow Retro fitting for entire market
> Huge Competitive positioning differentiator
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Geolocalization, Consumption details, Machine KPIs
Control Sales in Real Time
> Verify ‘non contractual’ comsumption
> Efficient and Effective Maintenance and Cleaning
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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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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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Languages
Devices
Protocols
Operating Systems
Work with any deviceConnect 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
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AZURE REGIONS
30Azure regions around the world
More than AWS and Google Cloud combined
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Platform Services
Infrastructure Services
Web Apps
MobileApps
APIManagement
API Apps
Logic Apps
Notification Hubs
Content DeliveryNetwork (CDN)
Media Services
BizTalkServices
HybridConnections
Service Bus
StorageQueues
HybridOperations
Backup
StorSimple
Azure SiteRecovery
Import/Export
SQL Database
DocumentDB
RedisCache
AzureSearch
StorageTables
DataWarehouse
Azure AD Health Monitoring
AD PrivilegedIdentity Management
OperationalAnalytics
Cloud Services
BatchRemoteApp
ServiceFabric
Visual Studio
AppInsights
Azure SDK
VS Online
Domain Services
HDInsight MachineLearning
StreamAnalytics
Data Factory
EventHubs
MobileEngagement
Data Lake
IoT Hub
Data Catalog
Security & Management
Azure ActiveDirectory
Multi-FactorAuthentication
Automation
Portal
Key Vault
Store/Marketplace
VM Image Gallery& VM Depot
Azure ADB2C
Scheduler
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From endpoint to insight to action, across the enterprise, and around the world
Built on the industry’s leading cloud
SecureEnd-to-end
From endpoint and connection
through to data and the cloud
OpenConnect anything
Any device, OS, data source,
software, or service
FastStart in minutes
Preconfigured solutions for the
most common IoT scenarios
Magic Quadrant Leader, Business Intelligence and Analytics Platforms*
ScalableGrow 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.
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Sources: 1McKinsey, How IoT Can Support A Dynamic Maintenance Program, 20162IDC, 2016
~80%margin1
driven by apps,analytics, andservices in 2020
Average increase in income for the most digitally transformed enterprises
$100M
2020
200930B
Things
Income
Intelligence
“Every business will become a software business, build
applications, use advanced analytics and provide
SaaS services.“ - Satya Nadella
2
2
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