AI Master Group Podcast Episodes
Hosts and Contributors
- Jim Griffin
Hosted by Jim Griffin, this show features the researchers and leaders who are building the future of AI in their work today. Join us for thought-provoking conversations about the evolving world of artificial intelligence.
Episode Summaries
Raghav Ram: 40 LLMs, One Answer
In this episode of the AI Master Group Podcast, Raghav Ram, PhD, describes an orchestration layer that gives enterprises simultaneous access to 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 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). In this episode, Michael describes various risks and opportunities associated with the growing adoption of AI tools. He covers how AI could contribute to income disparity at the societal level by replacing significantly more low-skilled jobs than it creates, as described in the Nobel-prize-winning work of Daron Acemoglu at MIT.
Nachiket Mehta: Inside the Data Mesh at Wayfair
Nachiket is the Global Head, Data & Analytics Engineering at Wayfair. In this episode, he describes the four pillars of data mesh, sharing insights from client-side operations involving data governance and implementation strategies within an enterprise-class organization.
Zach Elewitz: The Leak Stops Here
Zach is the Senior Director, Head of AI, Data Science and Analytics at Fortune Brands. He describes his journey as well as projects like a solution for detecting residential water leaks and sentiment analysis of customer reviews, including enabling technologies such as multi-modal language models and causal inference.
Pavel Iakubovskii: Kaggle Master at Hugging Face
Pavel holds multiple gold medals on Kaggle and is currently a computer vision engineer at Hugging Face. He discusses his journey and provides insights about Hugging Face technologies like the Transformers library and the Diffusers library for generating images.
Max Mozgovoy: The End of Traditional UX Research?
Max Mozgovoy, co-founder of VoxDiscover, explores using Gen AI for user experience research. He discusses transforming the customer feedback process and the ongoing nature of insights, compared to traditional methods.
Marwa Kechaou: A Keen Eye for Computer Vision
With a PhD in machine learning and a focus on computer vision, Marwa has contributed to various deep learning projects and shares her experiences in balancing academia and industry work.
Iqbal Hossain: The UofAZ Knowledge Map Story
Iqbal, a Research Data Science Director at the University of Arizona, discusses the creation of a knowledge map for the university that visualizes relationships between departments and disciplines.
Jeffrey Spyropoulos: Making Analytics Count at JCP
Jeffrey discusses leveraging AI and analytics for business, sharing an analytical framework for making build vs buy decisions in business processes.
Tapan Khopkar: A ‘MasterClass’ in Marketing Mix
Tapan, Executive Director of Marketing Sciences at OMD, covers marketing science principles applied to paid media, including Marketing Mix Modeling and its implications in business decisions.