Next Internet Evolution: Getting Big Data insights from the Internet of Things

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1 Next Internet Evolution: Getting Big Data insights from the Internet of Things Internet of things are fast becoming broadly accepted in the world of computing and they should be. Advances in Cloud computing, availability of ubiquitous connectivity and desire to gather data and interpret it to create knowledge is pushing the Internet of Things to even more prominence. However as IoTs explode, so does the data they produce and potential for gaining insights from this. Processing this data and extracting information in timely manner will need new approaches. Every Industry is going to be impacted by these and every person will be impacted in some way. We need to start focusing on bold new world of IoTs to understand what is new and what is already there. Knowing how to take advantage of IoTs and insights they reveal has potential for yet another major transformation for our businesses. This keynote will explore the vast land of IoTs, the insights we can be gained from these and a few ways for extracting valuable information from the mountain of data these IoTs produce.

2 Internet of Things Alok Srivastava Microsoft Corporation

3 28 Billion By 2020

4 7.1 Trillion By 2020 IDC expects the worldwide market for IoT solutions to reach $7.1 trillion in 2020 from $1.9 trillion in Intelligent and embedded systems shipments Connectivity services Infrastructure Purpose-built IoT platforms Applications Security Analytics Professional services

5 Next Wave In The Development Of The Internet First wave brought us mobile Internet and smartphones and mostly benefited technology companies The IoTs bring the next wave to penetrate the real economy and has potential impact of every sector

6 Growing Interest

7 Why Now Lower cost of sensors Lower cost of processing power Large capacity to store data Expanding and cheap bandwidth Smartphones Data Insights and Big Data IPv6

8 Key Attributes

9 Potential Developments

10 What Does IoTs Impact? Communication Things (Semiconductors) Enterprise software Consumer software WiFi - IoT require primarily wireless communications Sensors - IoT devices lean heavily on image, motion, touch and environment sensors, along with so-called sensor hubs to manage the sensor traffic and reduce the workload on the central processor to save battery life Management devices and communication with connected devices/sensors Platforms - lay the software foundation for others especially smarter devices category Cellular connect hard to reach or mobile objects Connectivity semiconductor components to manage communications driven by driven by Wi-Fi, Bluetooth, ZigBee, NFC, and other IoT standards (yet to be defined) Middleware - communication with connected devices/sensors Managing less smarter devices software need to power less smart evices The Fog - network intelligence to reside closer to the source Cheap brain - microcontrollers or low-cost microprocessors given their lower price points and power requirements Storage and Security Analysis and visualization

11 What Is Involved In Realizing IoTs Pipes Like building highways to support expanded use of cars Pipe to support 28 billion smart devices is critical Apps Easier Lifestyle (home automation, security and monitoring) Efficiencies cost aware utilities, smart digital assistants, reminders with action, location awareness Enablers: Needs new standards, new platforms, sophisticated analytics, storage and security Things HVAC, security, lighting, entertainment, appliances, living assistance Machine monitoring, connected factories, supply chain automation based on real-time information Smart electricity grids, electric vehicle infrastructure

12 Components of IoT Architecture Key Tasks for Software: 1. Managing the communication with connected devices/sensors 2. Middleware to integrate and store data repositories 3. Storing and securing the data 4. Analyzing and visualizing the data

13 Evolving Architecture Actions, Feedback Apps Smart Sensors Smart Sensors Smart Sensors Sensor Network, managemen t and Data collection Secure data storage and integration Analytics, correlation, decision planning Knowledge, Commands, Decisions Advance knowledge management and decision control

14 Capital Goods

15 Scenarios

16 Structure

17 Microsoft and Internet of Things Azure Intelligent Systems Service Internet of YOUR Things Empower your business and gain a competitive edge by connecting data from devices and sensors with the cloud and business intelligence tools Search: Microsoft Intelligent Systems or visit Microsoft.com

18 Customers Implementing IoTs with Microsoft

19 Video: An Example of Microsoft Research s

20 Easy to get started

21 Industry Scenarios

22 Patient Monitoring

23 Utilities

24 Insurance Telematics enabled insurance options Pay as you drive insurance Life Insurance Remote Monitoring and Risk Management

25 Capital Goods

26 Mining 1. Real time monitoring of equipment such as conveyor belts, concentrators and mobile machinery (mainly excavators and trucks) 2. Operation of autonomous mines where autonomously operating trucks and excavators remove and transport waste rock and ore without human involvement and eventually transport it via autonomously operating trains to the port for shipping.

27 Agriculture Optimized seeding Optimized Fertilizer usage Minimize adverse weather impact

28 Healthcare Inefficiency and Cost management Changing patient behavior Enhance clinical outcomes. This would reduce frequency of treatment and the onset of higher acuity conditions, which are costlier to the system. Additionally, providers exposure to legal recourse would be mitigated Reduce resource requirements. Greater interconnectivity between providers, in addition to remote monitoring and real-time communication technologies, would reduce the need for specialized human capital, where wages and benefits, on average, account for ~59% of US hospitals cost structure Tele medicine and patient monitoring

29 Pharma

30 Factory Automation Process monitoring and prevention Preventing downtime by sensing and predicting faults Integrated production line Directly communicating devices and expanded data for adaptable production line Cost savings from efficiencies Assuming the global cost base of manufacturing is US$25 trillion today, 2-4% cost savings from IoT and 50% penetration of IoT, we get to $500bn in potential cost savings

31 Retail Supply chain and Inventory management New marketing Connected products Customer profiling, targeting and pricing New ways to spot trends Product identification

32 Wearables Apple Watch, Google Glass and more

33 Transport and Logistics

34 Automobiles

35 What Needs Work Technology Standards Security Privacy and Ethics

36 Thank You! Alok Srivastava Microsoft Corporation

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