In this episode, Nilesh Dange, CHRO at L&T Finance, breaks down how a traditional NBFC is reinventing itself as a “FinTech at scale” by putting AI at the core of credit decisioning, home loan journeys, and day-to-day operations—while keeping people and culture firmly at the center. He shares how L&T Finance now runs largely agentic, AI-led underwriting, offers fully digital home loan copilots, and uses design thinking and cross-functional squads to solve the “meatiest” business problems first.

Nilesh goes deep on the HR side of this shift: from building a global data science vertical and democratizing AI with internal workshops and enterprise-wide Gemini access, to creating bite-sized learning journeys and Idea Express programmes that turn employees into problem solvers, not passengers. He also explains how HR can use AI as a decision-enabler (not a replacement for human judgment) in recruiting and capability building, and why “management attention and intention” are the real levers behind any successful tech transformation.​

If you are a CHRO, CLO, or business leader trying to make your enterprise AI-first without losing the human touch, this conversation offers a candid, field-tested playbook on change, culture, and capability building in the age of generative AI.​

When we talk about AI breakthroughs, we often forget the quiet infrastructure behind them.
Dr. Srinivas Kadaba, who heads the Data and AI Platform at IISc’s Center for Brain Research, has spent his career designing systems that not only scale, but shape real-world impact.

In this conversation, we dive into his philosophy on system design, the fine line between innovation and over-engineering, and why ethics, imagination, and trust matter as much as code. From federated data to brain health, Dr. Kadaba breaks down what it really takes to build responsible AI for science and society.

What if skilling wasn’t a checklist but a culture?
In this episode, Srikanth Iyengar talks to Abhijit Bhaduri about what it takes to build future-fit learning ecosystems: AI-driven, deeply personalized, and engaging enough to rival Netflix. From multi-generational workforces to skill-based careers, it’s time to rethink how we learn.