ÜBER DIESE EPISODE
Last week we brought back Part 1 of our Ruchir Puri masterclass. This is the episode that completes it.
If Part 1 was about how AI works — agentic loops, inference scaling, the death of prompt engineering — Part 2 is about where AI is going. Ruchir takes on the biggest questions in the industry: Is Jensen Huang right that AGI arrives by 2029? What does IBM's bet on open models actually mean for the enterprise? And what does it take to build AI with not just intelligence, but reasoning and judgment?
His framework — AGI as IQ + EQ + RQ — is one of the clearest mental models we've heard for cutting through the noise around artificial general intelligence. The RQ, he argues, is the piece nobody's solved yet. And until they do, enterprise AI has to be built differently.
This one stands alone if you're new. But if you just heard Part 1, this is the natural next step.
Key moments:
- 00:12 — Ruchir's take on Jensen Huang's 2029 AGI prediction
- 04:15 — Why IBM is betting on open models and what that means for enterprise AI
- 07:21 — Why IBM Granite? The case for purpose-built models
- 09:58 — Model indemnification: how IBM handles legal risk and LLM accountability
- 11:32 — What actually gets in the way of successful AI deployment
- 15:35 — The AI chipset race: GPUs, custom silicon, and what's next in compute
- 18:37 — AGI = IQ + EQ + RQ: the framework demystified
- 24:15 — What AI can learn from the human brain's 20-watt efficiency
Making Data Simple is hosted by Al Martin, WW VP Technical Sales, IBM.
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Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com 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.
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