If I have to talk about the most interesting part of my journey, then I shall have to go back to 2020, when I got the opportunity to work with the AI & Cognitive team, my earlier team, which was Innovation. The real excitement was using my earlier experience and curiosity from the Innovation team to understand exponential technology, how it fits in a business use case and getting hands-on with that exciting technology to develop and deploy solutions.
The fact that learning is continuous, and whatever one develops and deploys, its impact is much clearer and tangible, excites me the most. Also, the fact that I was able to work on solutions for various business use cases cutting across industries, not only improving my technical knowledge but also my business knowledge, was another interesting aspect.
This would certainly be the one when I got an opportunity to develop a cloud-based solution to enable an optimised pay-per-usage business model that a Major Tyre Manufacturer was implementing for their customers’ fleets of heavy motor vehicles. They wanted to add a reliable maintenance business as downtimes in supply chain logistics have immense ripple effects. To approach the problem, we first had to brainstorm and come up with a solution that solved the problem at hand while accommodating the data or the lack of it. After consideration, we came up with a solution that involved forecasting the end of life of tyres and the remaining usable life of tyres and giving factor-level insights to the business users to take corrective measures and be profitable. As a result of implementing a predictive algorithm to estimate the cost per kilometre value at the end of tyre life, the client was able to quote a much more reliable price to their customers. Our solution also came with control tower capabilities to check tyre performance and recommended corrective actions to improve tyre life.