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🧠 Dr. Ruchir Puri on the Next Frontier: Open Models, Smarter AI, and Human-Level Reasoning (Part 2)
Manage episode 479874865 series 2715252
👤 About the Guest
Dr. Ruchir Puri is IBM Fellow and Chief Scientist at IBM Research. He’s a master inventor with 70+ patents and decades of leadership in scalable AI, chip innovation, and open-source contributions. From Watson to watsonx, he’s been shaping the AI landscape for decades — and he’s not slowing down.
Inside This Episode In Part 2, Ruchir unpacks the macro forces shaping AI — from Jensen Huang’s bold prediction to IBM’s leadership in open-model ecosystems and the emerging blueprint for AGI (Artificial General Intelligence). It’s a mix of sharp insight, grounded realism, and future-forward thinking.
⏱️ Chapters & Timing
- 00:12 – Jensen Huang's Prediction
Ruchir’s take on NVIDIA’s CEO and whether the 2029 AGI forecast holds water. - 04:15 – The Open-Model Ecosystem
Why IBM is betting on openness — and what that means for enterprise AI. - 07:21 – Why IBM Granite?
A breakdown of Granite’s strengths, flexibility, and why it’s built to scale responsibly. - 09:58 – Model Indemnification
The legal side of LLMs. Ruchir explains how IBM handles risk and accountability. - 11:32 – AI Implementation Challenges
Beyond the hype: What really gets in the way of successful AI deployment? - 14:20 – AI in Politics
A frank look at how AI is already reshaping elections, media, and power dynamics. - 15:35 – AI Chipsets
From GPUs to custom silicon, Ruchir highlights what’s next in the AI compute race. - 18:37 – AGI = IQ, EQ, RQ
Artificial General Intelligence, demystified. Why intellect alone isn’t enough — and how reasoning and empathy fit in. - 24:15 – The Human Brain’s Efficiency
What AI can learn from 20 watts of organic genius.
💬 Key Ideas
You can’t have AGI without reasoning. That’s the ‘RQ’ — and it’s the missing piece.
The future isn’t one model to rule them all. It’s an ecosystem — modular, open, and responsible.
IBM’s commitment to indemnification isn’t just legal — it’s about trust in enterprise AI.
🔥 Why You Should Listen This episode goes beyond buzzwords. If you're serious about what’s coming next in AI — how we’ll build it, govern it, and live with it — Ruchir offers a rare combination of technical clarity and visionary leadership.
🎧 Subscribe for More Don't miss upcoming episodes that help you lead with clarity in the AI era — the Making Data Simple way.
Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
344 episodes
Manage episode 479874865 series 2715252
👤 About the Guest
Dr. Ruchir Puri is IBM Fellow and Chief Scientist at IBM Research. He’s a master inventor with 70+ patents and decades of leadership in scalable AI, chip innovation, and open-source contributions. From Watson to watsonx, he’s been shaping the AI landscape for decades — and he’s not slowing down.
Inside This Episode In Part 2, Ruchir unpacks the macro forces shaping AI — from Jensen Huang’s bold prediction to IBM’s leadership in open-model ecosystems and the emerging blueprint for AGI (Artificial General Intelligence). It’s a mix of sharp insight, grounded realism, and future-forward thinking.
⏱️ Chapters & Timing
- 00:12 – Jensen Huang's Prediction
Ruchir’s take on NVIDIA’s CEO and whether the 2029 AGI forecast holds water. - 04:15 – The Open-Model Ecosystem
Why IBM is betting on openness — and what that means for enterprise AI. - 07:21 – Why IBM Granite?
A breakdown of Granite’s strengths, flexibility, and why it’s built to scale responsibly. - 09:58 – Model Indemnification
The legal side of LLMs. Ruchir explains how IBM handles risk and accountability. - 11:32 – AI Implementation Challenges
Beyond the hype: What really gets in the way of successful AI deployment? - 14:20 – AI in Politics
A frank look at how AI is already reshaping elections, media, and power dynamics. - 15:35 – AI Chipsets
From GPUs to custom silicon, Ruchir highlights what’s next in the AI compute race. - 18:37 – AGI = IQ, EQ, RQ
Artificial General Intelligence, demystified. Why intellect alone isn’t enough — and how reasoning and empathy fit in. - 24:15 – The Human Brain’s Efficiency
What AI can learn from 20 watts of organic genius.
💬 Key Ideas
You can’t have AGI without reasoning. That’s the ‘RQ’ — and it’s the missing piece.
The future isn’t one model to rule them all. It’s an ecosystem — modular, open, and responsible.
IBM’s commitment to indemnification isn’t just legal — it’s about trust in enterprise AI.
🔥 Why You Should Listen This episode goes beyond buzzwords. If you're serious about what’s coming next in AI — how we’ll build it, govern it, and live with it — Ruchir offers a rare combination of technical clarity and visionary leadership.
🎧 Subscribe for More Don't miss upcoming episodes that help you lead with clarity in the AI era — the Making Data Simple way.
Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
344 episodes
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