AI Master Group

Jim Griffin
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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.

  1. 11/24/2025

    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 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.

    36 min

  2. 06/18/2025

    Jasmeet Bhatia: Rising Star in Data & Analytics

    Jasmeet is the VP, Decision Science Analytics at Truist, and is also the current winner of the Rising Star in Data and Analytics award, at the CDAO Conference in Boston. This episode is an opportunity to look behind the curtain, getting a detailed view of the business and volunteer profile of a top award winner in our industry. Also, near the end of the episode, Jasmeet describes an approach for ensuring that an analytics team is viewed by their company as a profit center, not as a cost center.

    28 min

  3. 06/10/2025

    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 Analytics, which is a consultancy that he founded. In this episode, Michael describes various risks and opportunities associated with the growing adoption of AI tools. In particular, he describes a scenario where AI contributes to income disparity at the societal level by replacing significantly more low-skilled jobs than it creates, which is described in the Nobel-prize-winning work of Daron Acemoglu at MIT. Michael also covers how existing marketing attribution methods can be blind to the upstream impact of Generative AI, and how SEO and PPC might be affected by LLM-based search.

    17 min

  4. 05/31/2025

    Nachiket Mehta: Inside the Data Mesh at Wayfair

    Nachiket is the Global Head, Data & Analytics Engineering at Wayfair. In that role, he spearheaded the company's global implementation of data mesh. In this episode, Nachiket describes the four pillars of data mesh, and in doing so, he shares a rare front-line view of client-side operations involving data governance, including rich detail about how data mesh is implemented within an enterprise-class organization, what a successful implementation of that strategy requires, cultural implications, impact on data lineage, build vs buy considerations, and how that approach to data transforms everything from real-time decision making to Generative AI.

    26 min

  5. 05/24/2025

    Zach Elewitz: The Leak Stops Here

    Zach is the Senior Director, Head of AI, Data Science and Analytics at Fortune Brands, a portfolio of brands that includes names like Yale, Master Lock, SentrySafe, Moen faucets, House of Rohl and Therma‑Tru, among others. In this episode, Zach describes his journey from a PhD in Mathematics with an MBA, to the head of AI at Fortune Brands. One project he describes is a solution that detects residential water leaks and that automatically shuts off the water to protect the house. Another project involves sentiment analysis of customer reviews, implemented in a way that's tailored to the specific needs of product managers. The conversation also covers enabling technologies, including multi-modal language models, causal inference, and digital twins. Zach also describes the road from feasibility testing to full deployment.

    43 min

  6. 02/09/2025

    Pavel Iakubovskii: Kaggle Master at Hugging Face

    Pavel holds two gold medals, two silver medals and three bronze on Kaggle. He's also the author of several well-known libraries, including one that has about 20,000 stars on GitHub. Currently, he's a member of the open source engineering team at Hugging Face. This episode covers Pavel's journey from growing up in a small town in Russia, to becoming a Kaggle competition master and computer vision engineer at Hugging Face. The conversation also covers many insights about Hugging Face itself, including Hugging Face Hub, Enterprise Hub, the Transformers library, the Diffusers library for generating images, pilot projects (about 20-30 every six months), auto-training and showcasing models on Spaces, Remi Cadene's LeRobot, and Zero GPU. It also covers information about Hugging Face datasets, including a 15-trillion token dataset that's big enough to train a base NLP model.

    44 min

  7. 01/25/2025

    Max Mozgovoy: the End of Traditional UX Research?

    This episode features a conversation with Max Mozgovoy, co-founder of VoxDiscover, which plans to use Gen AI to interview customers for user experience (UX) research done by app developers, or for customer lifecycle research, to build customer journey maps or personas, or to identify which features to add or change for the next version of product or service.  The underlying idea of VoxDiscover is to use an AI voice agent to capture customer feedback right in the app or on a website, automating the insight as well, thereby achieving a much lower cost as compared to external service providers that have to pay customers to participate, while also transforming the discovery process into something that happens on an ongoing basis, rather than only during the app or product development phase, or at quarterly or annual or even longer intervals.

    24 min

  8. 01/19/2025

    Marwa Kechaou: A Keen Eye for Computer Vision

    With a PhD in machine learning and a specialization in computer vision, Marwa has done deep learning projects across several industries and is currently at Alohi, a Switzerland-based startup with 4 million users of document solutions like Sign.Plus, Fax.Plus and Scan.Plus. In this episode, she describes her journey from formal studies to hands-on work in industry, to her present role as a primary engineer at Alohi. The conversation also touches on what it's like to maintain a connection to a top university as a Research Fellow, while also working full-time at a startup. Marwa also discusses the challenge of staying current on new developments, because many papers have only marginal value, which makes it hard to quickly identify the important ones. The conversation concludes with a discussion about emerging technologies that Marwa considers to be quite promising in her field, especially diffusion models and LLM foundational vision models.

    25 min
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About

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.

Information

  • Creator
    Jim Griffin
  • Years Active
    2024 - 2025
  • Episodes
    25
  • Rating
    Clean
  • Copyright
    © 2024
  • Show Website
    AI Master Group