Michael Koved: The Economics of Generative AI
Michael holds a PhD in Economics from the University of Pennsylvania, and is a Senior Fellow at Wharton (Artificial Intelligence and Analysis for Business). He’s also the president of Advanced […]
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Raghav Ram: 40 LLMs, One Answer Jim Griffin
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Michael Koved: The Economics of Generative AI Jim Griffin
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Nachiket Mehta: Inside the Data Mesh at Wayfair Jim Griffin
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Zach Elewitz: The Leak Stops Here Jim Griffin
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Pavel Iakubovskii: Kaggle Master at Hugging Face Jim Griffin
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Max Mozgovoy: the End of Traditional UX Research? Jim Griffin
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Marwa Kechaou: A Keen Eye for Computer Vision Jim Griffin
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Iqbal Hossain: The UofAZ Knowledge Map Story Jim Griffin
In this episode of the AI Master Group Podcast, Raghav Ram, PhD, describes an orchestration layer that gives enterprises simultaneous access 40 or more LLMs. Instead of relying on a single language model, the platform evaluates every user query in real time, selects the most capable 4-5 models for that task, and fuses their results into a strongest, enterprise-grade response. The system also preserves full data privacy and governance, while quietly training a custom model that’s proprietary to the client’s own organization. Ram also outlines the three patents powering this architecture and what they mean for the future of enterprise AI.
Michael holds a PhD in Economics from the University of Pennsylvania, and is a Senior Fellow at Wharton (Artificial Intelligence and Analysis for Business). He’s also the president of Advanced […]
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