Building Intelligent connected products using Artificial Intelligence, Cognitive & Blockchain.

location_city Bengaluru schedule Jul 29th 10:00 - 10:45 AM place Cauvery people 23 Interested

In this session, we will look at how to build intelligent connected products using a generic Enterprise IoT stack. We will discuss some of the key enabling technologies such as Artificial Intelligence, Machine Learning, Cognitive IoT and Blockchain and how to infuse intelligence at each layer of the IoT stack.

The session would cover 3 architecture patterns - Applying intelligence at the Edge, At the cloud and Hybrid approach. Various use cases would be covered - Real-time-decision at the edge using computer vision (security and surveillance), Cognitive IoT in Sports, Connected Car and Trust and compliance for security and connectivity using Blockchain.

The session will also include a brief analysis of different Enterprise IoT platforms like IBM Watson IoT, GE Predix, Amazon IoT, Microsoft Azure IoT and open source software for building smart connected products.


Outline/Structure of the Talk

The session would start off with an generic Enterprise IoT Stack, providing an end to end view on how to build intelligent connected applications.

Followed by 3 architecture and use case patterns - Building intelligence at the Edge, At the cloud and Hybrid approach and demystify each layer of the IoT stack

2. Edge Computing - Topics covered would be analytics at the edge, deep learning and computer vision at the edge ( real examples/scenario) using deep learning framework.

3. Cognitive IoT - Cognitive IoT and use cases on connected cricket - expert guidance for batsman and bowler using embedded IoT and algorithms solution.

Connected Car use case - personalization and expert guidance. How to create machine learning models for IoT using connected car use case.

4. Trust and compliance using Blockchain - Use case covered would be smart contracts, manufacturing and after sales services

Learning Outcome

Learnings on

  • Understand End to End Enterprise IoT stack
  • Edge Computing and Deep Learning - Strategy for building and deploying computer vision technologies at the Edge.
  • Cognitive IoT - Approach to build cognitive applications
  • Use cases on Cognitive IoT - Realize Connected Cricket use case
  • Edge and Cloud - Realize Connected Car use case.
  • Approach to build IoT machine learning models
  • Trust and compliance using Blockchain

Target Audience

Technical Audience (IoT, AI and ML)

schedule Submitted 3 years ago

Public Feedback

comment Suggest improvements to the Speaker
  • Naresh Jain
    By Naresh Jain  ~  2 years ago
    reply Reply

    Naveen, thanks for the proposal. The topic is very relevant. However I feel there is too much content for 45 min. I would prefer a more specific case discussed in detail rather than introduction of many topics. Do you think you can take a specific real world example and go deep into it with some kind of a demo?

    • Naveen Balani
      By Naveen Balani  ~  2 years ago
      reply Reply

      Hi Naresh, Thanks for the inputs.

      Through the session, my plan is to give an overview on how to use the combinatorial power of AI and IoT to build intelligent solutions by using the use cases of deep learning and edge analytics, cognitive cricket and blockchain, all with real world examples. As part of the topic, I would go in some depth like using CNN for deep learning, implementing cognitive cricket and so on. The idea is to educate users and give them an end-to-end view on how these various technologies can be applied from a stack perspective and provide a holistic view. I can cover specific topic - like using deep learning and edge analytics for monitoring and surveillance activities and go in depth of CNN etc., but I prefer the former.


      • Naresh Jain
        By Naresh Jain  ~  2 years ago
        reply Reply
        In my experience, the overview kind of sessions don't get good feedback. Primarily because the overview is usually available online. A specific in-depth real world example really helps the participants get concrete learning from the session and hence preferred. Please consider this and update your proposal accordingly.

        Also can you please share a video from any of your past presentation? This will help the program committee understand your presentation style. 

        Thank you!
        • Naveen Balani
          By Naveen Balani  ~  2 years ago
          reply Reply

          I am sharing the link to my latest presentation videos -