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Track 3 session 5 - st dev con 2016 - microsoft - from sensors to business value azure iot
The document discusses how the Internet of Things (IoT) can enable insights from device data over time. It begins by posing questions about getting value from connected devices and then describes the process of developing IoT solutions from the initial idea, to connecting devices, collecting and analyzing device data, finding patterns in the data, managing device software/services, and visualizing everything. It discusses how Azure can help manage the complexity of IoT solutions and provides examples of real-world IoT use cases and how data insights from devices can improve business processes. Finally, it outlines the key capabilities of the Azure IoT platform for securely connecting devices at scale and extracting insights from IoT data to enable actions.
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Similar to 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
- 4. What if Icould 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 adevice…
- 6. And data fromthat device… 01001010100010101001010100101010101001010101010110101
- 7. And securing thedevice… 01001010100010101001010100101010101001010101010110101
- 8. And insights fromthat data… 01001010100010101001010100101010101001010101010110101
- 9. Then lots ofdevices and data… 0100101010001010100101010010101010100101010101011010 0100101010001010100101010010101010100101010101011010101010001 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010101010001011110101010101010100 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010 01001010100010101001010100101010101001010101010110101010101010 01001010100010101001010100101010101001010101010110101010101001001010110001010101010 010010101000101010010101001010101010010101010101101010101011000101001011
- 10. Then monitoring theirdata in real time… 0100101010001010100101010010101010100101010101011010 0100101010001010100101010010101010100101010101011010101010001 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010101010001011110101010101010100 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010 01001010100010101001010100101010101001010101010110101010101010 01001010100010101001010100101010101001010101010110101010101001001010110001010101010 010010101000101010010101001010101010010101010101101010101011000101001011
- 11. Then looking forpatterns and insights in the data over time… 0100101010001010100101010010101010100101010101011010 0100101010001010100101010010101010100101010101011010101010001 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010101010001011110101010101010100 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010 01001010100010101001010100101010101001010101010110101010101010 01001010100010101001010100101010101001010101010110101010101001001010110001010101010 010010101000101010010101001010101010010101010101101010101011000101001011
- 12. Then managing andupdating the software on these devices… 0100101010001010100101010010101010100101010101011010 0100101010001010100101010010101010100101010101011010101010001 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010101010001011110101010101010100 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010 01001010100010101001010100101010101001010101010110101010101010 01001010100010101001010100101010101001010101010110101010101001001010110001010101010 010010101000101010010101001010101010010101010101101010101011000101001011
- 13. And visualizing andmanaging all of these services… 0100101010001010100101010010101010100101010101011010 0100101010001010100101010010101010100101010101011010101010001 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010101010001011110101010101010100 0100101010001010100101010010101010100101010101011010101010101010100010101 010010101000101010010101001010101010010101010101101010 01001010100010101001010100101010101001010101010110101010101010 01001010100010101001010100101010101001010101010110101010101001001010110001010101010 010010101000101010010101001010101010010101010101101010101011000101001011
- 14. IoT can getcomplicated 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, BusinessLogic and Transformation Consumption within Business Processes
- 17. Measurements and Data Ingestion, BusinessLogic and Transformation Consumption within Business Processes
- 18. Remote Diagnostics onkey 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: Electricalcurrent 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 interestingaspect 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
- 23. Workstation SensorsSpace SensorsPersonal 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
- 25. Languages Devices Protocols Operating Systems Work withany 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 aroundthe world More than AWS and Google Cloud combined
- 27. Platform Services Infrastructure Services WebApps 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 toinsight 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 IoTCan 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