A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].
Ben Lorica and Evangelos Simoudis discuss three critical topics for AI practitioners: the complexities of AI regulation, with debates over foundation model oversight versus domain-specific regulatio…
In this episode, Anant Bhardwaj, CEO of Instabase, provides a pragmatic guide for AI practitioners building enterprise solutions.
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Ben Lorica and David Talby present findings from the 2025 AI Governance Survey of 350+ respondents, revealing that while 30% have AI models in production, there are significant gaps in risk managemen…
Kostas Paralis, co-founder of Typedef , discusses Fenic, an open-source data frame framework designed specifically for AI applications that treats inference as a first-class operation within the quer…
Ben Lorica and Evangelos Simoudis discuss three critical trends shaping the AI industry: the “Great Hollowing Out” where AI automation is eliminating entry-level positions and disrupting talent pipel…
Raiza Martin, co-founder of Huxe and former leader of Google’s NotebookLM team, discusses leaving Google at the height of NotebookLM’s success to build an audio-first personal AI companion.
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The discussion with CEO Akshay Agrawal covers how Marimo’s AI integration provides runtime context to LLMs for superior code generation, its adoption across industries from cybersecurity to DevOps, a…
Josh Pantony, CEO of Boosted AI, discusses Alfa, an agentic AI platform that creates persistent AI workers for finance professionals, moving beyond traditional prompt-response AI to proactive, autono…
Jennifer Prendki explains that while universal quantum computers are a decade away, specialized quantum accelerators are already tackling AI problems in finance and pharma. She argues the biggest hur…
Sagar Batchu, CEO of Speakeasy, joins the podcast to discuss the critical shift in API development as AI agents become primary consumers.
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In this episode, Yishay Carmiel and Roy Zanbel of Apollo Defend discuss the rapidly evolving landscape of voice AI and its emerging security threats.
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Shreya Shankar is a PhD student at UC Berkeley in the EECS department. This episode explores how Large Language Models (LLMs) are revolutionizing the processing of unstructured enterprise data like …
Douwe Kiela, Founder and CEO of Contextual AI, discusses why RAG isn’t obsolete despite massive context windows, explaining how RAG 2.0 represents a fundamental shift to treating retrieval-augmented …
Zach Lloyd, Founder/CEO of Warp, joins the podcast to discuss how Warp is revolutionizing the command-line terminal by integrating AI.
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Jackie Brosamer and Brad Axen from Block discuss codename goose (Goose), their open-source AI agent designed to automate complex engineering and knowledge work.
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Oumi Labs CEO Manos Koukoumidis lays out a vision for “unconditionally open” foundation models—where data, code, weights, and recipes are all transparent and reproducible—arguing this is the only pat…
Dan Schwarz (CEO & Co-Founder, Futuresearch) explains why his firm finds OpenAI’s $125 billion revenue projection highly implausible, citing fierce competition, pressure on ChatGPT/API revenue, and f…
Jason Martin is an AI Security Researcher at HiddenLayer. This episode explores “policy puppetry,” a universal attack technique bypassing safety features in all major language models using structured…
Evangelos Simoudis is Managing Director at Synapse Partners, a firm that helps corporations apply AI and invests in startups developing data-driven AI applications. This episode explores the current …
Lin Qiao, CEO of Fireworks AI, dives into the practical challenges AI developers face, from UX/DX hurdles to complex systems engineering. Discover key trends like the convergence of open-source and p…