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Yoni Leitersdorf, CEO of Solid, joins the podcast to demystify why simply pointing an LLM at a database for text-to-SQL doesn’t work. He explains the critical need for a semantic layer to provide business context, turning raw data into a “Rosetta Stone” that AI can actually understand.
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Detailed show notes - with links to many references - can be found on The Data Exchange web site.
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OTROS EPISODIOS EN ESTE PODCAST
Ben Lorica talks with Evangelos Simoudis about three forces reshaping AI: why recent “rogue agent” incidents may be more about permissions, identity, and governance than runaway intelligence; how the belief that AGI is near is helping sustain enormous investment in AI models and data centers despi…
Steve Hou, Head of Research at Silicon Data, joins Ben Lorica to unpack the data behind the AI compute market: GPU rental indices, forward curves, and token expenditure trends that reveal a market still tightening despite talk of oversupply.
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Ben Lorica speaks with Andrew Dai, co-founder and CEO of Elorian AI, about why today’s frontier models still struggle with complex visual reasoning and why simply scaling language-centric architectures may not solve the problem.
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Ben Lorica talks with Abi Aryan, AI engineer, author of LLMOps: Managing Large Language Models in Production, about how deploying generative AI is turning into a distributed systems problem.
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Maarten Grootendorst, a developer relations engineer at Google DeepMind and co-author of Hands-On Large Language Models and An Illustrated Guide to AI Agents, joins Ben Lorica to explain the concepts developers need to understand beneath today’s AI tools.
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