AI is not what's next for healthcare — it's what's now

In this episode of AI Rising, host Nelson John speaks with Roland Rott, President & CEO of Imaging at GE HealthCare, about how artificial intelligence is reshaping the future of care — from diagnostics to decision-making, and from hospital floors to rural clinics.

Considering India’s unique healthcare landscape and its growing reputation as an innovation hotspot, Roland offers a front-row view into how GE HealthCare is building AI-powered solutions that improve accuracy, scale access, and redefine patient care — all while navigating the complexity of one of the world’s most demanding markets.

We explore:

• Why India is central to GE HealthCare’s AI and growth strategy

• How AI is transforming imaging, diagnostics, and clinical workflows

• The balance between cutting-edge innovation and clinical trust

• The future of AI-powered care in both developed and emerging markets

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In this episode, we sit down with Mr. Ratan Kumar Kesh, Executive Director & Chief Operating Officer at Bandhan Bank, to explore how AI is transforming the very foundation of modern banking.

From intelligent automation and fraud detection to contextual banking offers and AI-powered agent systems, Mr. Kesh shares real-world insights into how Bandhan Bank is embracing next-gen technologies to meet rising customer expectations, enhance internal efficiencies, and navigate the complexities of a highly regulated financial ecosystem.

We also discuss the role of open banking, cloud infrastructure, and internal AI adoption strategies that put employees at the center of digital transformation. If you’re curious about how traditional banks are evolving in the AI era—or what it takes to build a future-ready financial institution—this conversation is packed with perspective.

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What does it take to bring reliable, clean electricity to some of the world’s most underserved communities—and do it profitably?

In this episode, we speak with Manoj Sinha, Co-founder and CEO of Husk Power Systems, a company that’s building the world’s largest network of AI-powered mini grids across India and Africa. Manoj takes us through his journey—from growing up in Bihar with limited access to electricity, to launching Husk with a bold mission: to make energy affordable, reliable, and 100% renewable for rural households and micro-enterprises.

We dive deep into:

• How Husk uses machine learning to predict energy demand and optimize power generation

• Why AI is critical to scaling decentralized energy in emerging markets

• The economics behind their pay-as-you-go SaaS model

• What it takes to reduce energy delivery costs year after year

• The future of Virtual Power Plants, grid resilience, and India's climate goals

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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