About Michelin

The event took place on 10th October 2019 at Michelin India Technology Center in Pune. The attendees of the event were the Michelin Top Management Team (20+ Members) from Africa, India & Middle-East (Known as AIM Team internally). On the WAIN Platform and its usage, the Director for Marketing, who is responsible for Africa Market came and spoke to us after the session and mentioned that he would be keen to explore opportunities with CL, especially if we can focus on Ghana & Nigerian markets.

The four startups who presented their solutions were as follows:

Esmito - Smart management of EV Infrastructure

PI BEAM - Sustainable & Affordable Transportation Solutions

Cyrrup Solutions - Fuel Theft Detection for Trucking Industry

Fleeca India - Tyre Management Solutions

Out of the four startups, there were interesting conversations during the PI BEAM and Fleeca India presentations. Michelin sees a working relationship between them and Fleeca India as it is directly in their domain area.

The entire AIM Team thanked and appreciated our work and effort, which ensured a productive day for them.

Event Schedule

S. No Agenda Time
  Machine Learning & It’s Applications  

1 Introduction to AI, ML & Data Sciences

8.45 AM to 9.30 AM

2 Machine Learning & It’s Applications

9.30 AM to 1.00 PM

3 Machine Learning Application on Michelin’s Sales Data

1.45 PM to 2.45 PM

  Mobility & Startups  

4 Video Speech by Mr Kunal, IAS (Mission Director - Smart City Program, Government of India)

2.45 PM to 3.00 PM

5 Presentation on Urban Mobility by Dr Madhav Pai, Director - World Resources Institute

3.00 PM to 4.00 PM

6 Introduction to CL’s WAIN Platform and Use Cases

4.45 PM to 4.50 PM

7 Presentation by 4 Startup’s focused on Mobility

4.50 PM to 6.50 PM

Sujit Bhattacharya & Subhrajit Bhattacharya anchored the Machine Learning & It's Applications sessions. This session was the most interactive. The participants understood the Applications of ML, which was explained with relevant examples.

The ML Application on Michelin's Sales Data was the most popular out of all as it involved using their own sales data and analysing the outcomes. Some of the prescriptions given by ML Algorithms were found to be very interesting for them. There were questions posed to Sujit & Subhrajit on how Michelin should go about having a structured ML team within their organisation.

Dr Madhav PaiIn the Mobility & Startup section, the Presentation by Dr Madhav Pai was well received by them, and there were a lot of queries during this session.

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