Inderpreet Jalli got his PhD in mathematical biology from Duke University in 2014 and since then has worked in the energy industry among others. Currently he is at NRG Energy supporting the ERCOT Trade Desk with machine learning and analytics.
In the race to unlock AI’s full potential, data is both the fuel and the friction. As companies battle to integrate diverse control systems, legacy platforms, and siloed datasets, the question isn’t just how to centralize data, but how to make it usable, trustworthy, and AI-ready? With Generative AI offering new ways to structure and interpret messy data, is it time to rethink the traditional “clean first, deploy later” mindset? This session challenges conventional data strategies and explores how AI can reshape, not just rely on, your data foundations.
Check out the incredible speaker line-up to see who will be joining Inderpreet.
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