Industry 4.0/IIoT: Leverage Data Science and Machine Learning to Drive Real Impact

Today Industry 4.0 is one of the most hyped discipline with lots of hype around use of AI /ML. The discipline is clouded with high claims and very few deliveries. How do you define your clear path and deliver something tangible.

Using Data Science and machine learning to drive real solutions using IoT data from shop floor. Top use cases and what are the watch-outs.

What does it take to deliver a machine learning solution to solve a business challenge and make a real impact.


Outline/Structure of the Case Study

Introduction to the topic with some of the key challenges.

Examples and case studies

Path forward and discussion

Learning Outcome

Learning from Experience and reapplying the best practices

Target Audience

Senior Executives/Data scientists/managers from Industrial/Manufacturing, IoT and Service industries.

Prerequisites for Attendees

Background of Industry 4.0 or IoT or Industrial IoT. Familiarity and interest in Data Science.

schedule Submitted 9 months ago

Public Feedback

comment Suggest improvements to the Speaker
  • Dr. Vikas Agrawal
    By Dr. Vikas Agrawal  ~  9 months ago
    reply Reply

    Dear Amit: Your proposal needs a lot more detail, examples and break-up of time as well. 

    Warm Regards


    • Amit Kurhekar
      By Amit Kurhekar  ~  8 months ago
      reply Reply
      Hi Vikas,
      I have submitted entry last minute. 
      Will add more details soon