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Making Smarter Systems with IoT and Analytics

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Many systems today play an increasingly important role in our lives and communities. Systems can learn and adopt by themselves without having to follow a structured, predefined execution flow. They are digitally independant and have become smarter, faster and more reliable. Digital intelligence can be embedded not just in individual components but also across entire systems, impacting everything from traffic flows and electric power to the way our food is grown, processed and delivered. This is achieved by employing the capabilities of multiple disciplines. Devices and systems produce large volume unstructured data. Real-time or historical data can be analyzed to uncover hidden patterns, correlations and other insights and this information is then fed into machine learning algorithms that calculates predictions.

WSO2’s analytics platform together with the WSO2 IoT Server can provide all these capabilities. This webinar aims to

Identify key capabilities needed when composing a smart system
Explore how WSO2’s analytics platform can be used to make a system smarter
Discuss how WSO2 IoT Server manages and enable devices

Publié dans : Technologie
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Making Smarter Systems with IoT and Analytics

  1. 1. Solutions Architect Dassana Wijesekara WSO2 Solution Architecture Best Practices Webinar Series 2016 Making Smarter Systems with IoT and Analytics
  2. 2. Smarter
  3. 3. Smart Systems 3 A smart system is able to perform : a. Sense – provide realtime data on space and interaction b. Actuate – Respond to sensory information c. Control – Adjust/learn based on historical, realtime knowledge These systems are able to describe and analyze a situation, and make decisions based on the available data in a predictive or adaptive manner, thereby performing smart actions.
  4. 4. Components of a Smart Systems 4 Components of a smart system can be grouped to : a. Data acquisition Manages physical interaction, life cycle management, edge computing b. Data transmission Supporting multiple protocols (sync/async), protocol conversion c. Command and Control Big Data, Analytics, Machine learning
  5. 5. Challenges 5 a. Connecting and Managing wide range of devices b. Integrating system world and IT world c. Big Data analytics d. Security e. Scalability f. Adapting to the future
  6. 6. 6 Smart System Reference Architecture
  7. 7. 7
  8. 8. 8 What WSO2 can Offer WSO2 Products are fully composable components. a. WSO2 IoT Platform b. WSO2 Analytics Platform
  9. 9. IoT
  10. 10. 10 WSO2 IoT Server
  11. 11. 11 Managing Edge Devices
  12. 12. 12 Accessing Devices
  13. 13. 13 Analytics
  14. 14. Analytics
  15. 15. WSO2 Analytics Platform 15 WSO2 Analytics Platform uniquely combines simultaneous real-time and batch analysis with predictive analytics to turn data from IoT, mobile and Web apps into actionable insights  
  16. 16. 16 WSO2 Analytics Spectrum
  17. 17. 17 Edge Analytics – Mobile, IoT streams
  18. 18. 18 WSO2 Advantage
  19. 19. WSO2 – The 100% Open Source Middleware Platform 19   ●  Fully integrated, complete middleware platform ●  26 products available, so that you deploy only what you need, when you need it ●  Works seamlessly across the cloud and on- premise ●  Future-proof to adapt to new technology advancements such as IoT
  20. 20. A Cloud Native Platform
  21. 21. CONTACT US !