AI is changing the way we diagnose, treat, and even prevent disease—but how far can it really go? In this episode, Dr. Sreedhar Potarazu, Clinical Director at American Eye Care Center, joins us to unpack the real impact of AI in medicine. From clinical decision-making to patient empathy, we explore where technology helps—and where it still falls short. Can AI truly replace doctors, or is it simply the next tool in their kit? Tune in for a thought-provoking conversation on the future of healthcare, ethics, and the irreplaceable human touch.

In this thought-provoking episode, hosts Leslie D’Monte and Jayanth N speak with Anurag Sahay, VP & Global Business Unit Head – AI and Data Sciences at Nagarro, about why AI hallucinations might not be flaws, but indicators of an evolving intelligence paradigm. They explore how most people—and enterprises—still think in linear, deterministic ways, and why that mindset may no longer serve us in the GenAI era. Anurag explains how startups are often better positioned to take bold creative leaps, while enterprises struggle with embracing stochastic systems. The conversation also dives into why observability, not perfection, is the key to scaling AI—challenging conventional assumptions about accuracy, failure, and the true nature of intelligence.

In this episode, we dive into the hype, the reality, and the shifting ground beneath the world of technology, AI, and business strategy. From the microservices vs. monolith debate to the Codex CLI and GenAI frenzy, we break down the tech buzzwords enterprises love—and sometimes misuse. We unpack the role of developer insecurities, resume-driven engineering, and the fleeting nature of tech trends (remember Pokémon Go and the Oscar selfie?). As India's startup landscape sees an AI-first pitch from nearly every corner, we reflect on what truly defines deep tech, why traditional machine learning is far from obsolete, and how enterprises should resist the urge to jump on every shiny new tool. At the end of the day, the question remains: what business problem are you solving?