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?

In this episode, we unpack the evolving landscape of generative AI — from the delay of GPT-5 and the release of OpenAI’s O3 and O4 Mini models to the explosive rise of Chinese innovations like DeepSeek and Mistral. We dig into why calling GPT-5 the 'holy grail' of AI is a flawed narrative, and how the global AI race is being reshaped by open-weight models, MoE (Mixture of Experts) architectures, and aggressive Chinese strategies.
We also explore the growing buzz around 'white coding' — where non-programmers use AI to generate code — and the infrastructure shocks that follow. Why are API bills skyrocketing? What happens when blindly deployed AI code meets real-world production? From misleading claims to misunderstood models, we break it all down.
Tune in as we question hype, bust myths, and offer a grounded take on where AI is really headed.

In this episode, Leslie and Jayanth discuss how industries have evolved over the past few years, drawing parallels between shifts in tourism, remote work, and coworking spaces with the impending transformation AI will bring. They highlight how AI's impact will be more widespread, affecting almost every industry and job role.

They also delve into a BCG survey on Gen Z’s adoption of generative AI, which revealed a surprising insight: despite being digital natives, Gen Z professionals are not proficient users of Gen AI in workplaces. While 80% of Indian developers recognize its productivity benefits, only 39% use it proficiently, and just 31% of Gen Z developers are proficient adopters. The discussion underscores the role of training in improving AI adoption, as proficiency jumps from 16% to 48% with five or more targeted training sessions.

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In this episode, hosts Jayanth and Leslie sit down with Mr. Vijay Balakrishnan, Executive Vice President - Chief Digital & Information Officer at Godrej Enterprises Group, to explore how AI and digital transformation are reshaping manufacturing, supply chain, and customer experience.

From cloud-first strategies and AI-powered supply chains to intelligent call center automation, Mr. Balakrishnan shares insights on how Godrej is leveraging Gen AI, IoT, and digital twin technology to drive efficiency, enhance decision-making, and improve customer satisfaction.

Tune in to understand how AI is moving beyond the hype and transforming businesses—one process at a time.

As businesses move beyond experimentation, AI agents and LLMs (Large Language Models) are driving a new era of enterprise automation. This discussion, featuring Raghav Aggarwal, Co-Founder of Fluid AI, explores how AI is evolving from knowledge-based assistance to intelligent action, transforming workflows across industries.

We delve into the integration of internal enterprise data with powerful AI models like OpenAI, enabling predictive analytics, strategic decision-making, and smart automation. The conversation also breaks down the three layers of AI adoption—fully autonomous processes, human-AI collaboration, and human-led tasks—showing how enterprises are defining their automation strategies.

With 2025 marking a shift from pilots to full-scale AI deployment, Raghav Aggarwal shares insights on key challenges like security, governance, and workforce adaptation. How are CXOs balancing AI’s potential with risk management? What industries are leading in AI-driven transformation? And how do agent-based AI systems bring businesses closer to true efficiency?

Join us as we uncover how enterprises are leveraging AI for smarter research, seamless automation, and groundbreaking innovations.

In this episode of AI Rising, hosts Jayanth and Leslie dive deep into the evolving landscape of artificial intelligence, exploring India’s role in shaping the future of AI. They discuss the India AI Mission and why it urgently needs a strong leader—just like Aadhaar had Nandan Nilekani and UPI had its own champions. Can India templatize its AI strategy for the Global South, just as it did with UPI?

The conversation also shifts to the debate between large language models (LLMs) vs. small language models (SLMs)—is India better off innovating with SLMs rather than competing in the costly LLM race? With compute limitations and a unique linguistic landscape, could smaller, more efficient models be India’s AI breakthrough?

Jayanth and Lesli also unpack the latest Sam Altman vs. Elon Musk drama—how the valuation of OpenAI and Musk’s sharp retorts are shaping the future of AI power struggles. Meanwhile, China is making a strong comeback in computer vision, with innovations like ByteDance’s “Only Human” model and Landing AI’s agentic object detection leading the charge.

With AI innovation shifting across continents, who will lead the next big breakthrough? Tune in to AI Rising for expert insights and thought-provoking discussions on the future of AI.