Still Essential: Ruchir Puri on AGI, Jensen Huang's Bold Prediction, and Why Reasoning Is the Missing Piece {Replay} - Making Data Simple

Topics in this episode

Artificial General Intelligence IBM Research AGI Ruchir Puri Chief Scientist IBM

Episode notes

Send us Fan Mail 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?

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

More from Making Data Simple

All episodes →