This talk will be an intersection of Design x Product x Data x AI and focus on the fundamentals of applying Design Thinking principles (empathise, define, ideate, prototype & test) to Data problems and build successful data products using AI that bring customer delight and also generate revenue.
This talk will be an interactive session with the audience where the speaker & audience would together solve few interesting problem statements from Stock Trading & Broking domain by applying the design thinking principles to build a data product using AI. The novelty of this talk revolves around the real-world products that the speaker has built using the same framework at one of the largest stock brokers in India - Upstox.

This talk will also highlight a simple to use Data Project Governance framework - https://github.com/indranildchandra/DataScience-Project-Governance-Framework/tree/master that can help in identifying successful data projects and prioritising them. This is very relevant in today's world since building data products is the easier part now given the advent of GPTs, however building the RIGHT data product that truly delivers a value to the customer is a rarity.