
The Data Exchange with Ben Lorica
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/].
Episodes
308 episodes
The Infrastructure for Production AI
Zhen Lu, CEO of Runpod, joins the podcast to discuss what it means to build an “AI-first” cloud...
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47:32

How to Make Your Data Truly AI-Ready
Yoni Leitersdorf, CEO of Solid, joins the podcast to demystify why simply pointing...
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45:49

Beyond the Agent Hype
Ben Lorica and Evangelos Simoudis discuss some takeaways for AI practitioners from the recent AI Conference. They cover the disconnect between the hype and reality of AI agents...
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29:35

How to Build and Optimize AI Research Agents
Jakub Zavrel, CEO of Zeta Alpha, joins the podcast to discuss the practical evolution from traditional enterprise search to powerful ...
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38:41

Why Digital Work is the Perfect Training Ground for AI Agents
Andrew Rabinovich, CTO and Head of AI at Upwork, discusses how digital work marketplaces serve as ideal testing ground...
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42:16

Beyond the Chatbot: What Actually Works in Enterprise AI
Jay Alammar is Director and Engineering Fellow at Cohere and co-author of the O’Reilly book
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38:24

Why China's Engineering Culture Gives Them an AI Advantage
Ben Lorica and Evangelos Simoudis discuss three critical topics for AI practitioners: the complexities of AI regulation, with debates over foundation model oversig...
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52:45

Predictability Beats Accuracy in Enterprise AI
In this episode, Anant Bhardwaj, CEO of Instabase, provides a pragmatic guide for AI practitioners building enterprise solutions. Subscribe t...
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44:11

2025 AI Governance Survey
Ben Lorica and David Talby present findings from the 2025 AI Govern...
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39:23

The Fenic Approach to Production-Ready Data Processing
Kostas Paralis, co-founder of Typedef , discusses Fenic, an open-source data frame f...
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46:45

When AI Eats the Bottom Rung of the Career Ladder
Ben Lorica and Evangelos Simoudis discuss three critical trends shaping the AI industry: the “Great Hollowing Out” where AI automation is eliminating entry-level positio...
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27:57

From NotebookLM to Audio Companions: Why Google’s AI Team Went Startup
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 a...
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32:33

The AI-Native Notebook That Thinks Like a Spreadsheet
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 De...
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42:26

How Agentic AI is Transforming Wall Street
Josh Pantony, CEO of Boosted AI, discusses Alfa, an agentic AI platform that creates persistent AI workers for finance professionals, movin...
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40:09

The Quantum Advantage Is Real—But Where's the Infrastructure?
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 ...
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45:53

From Human-Readable to Machine-Usable: The New API Stack
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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38:23

Why Voice Security Is Your Next Big Problem
In this episode, Yishay Carmiel and Roy Zanbel of Apollo Defend<...
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41:37

Unlocking Unstructured Data with LLMs
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 text documents and PDFs. It intro...
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27:46

Building Production-Grade RAG at Scale
Douwe Kiela, Founder and CEO of Contextual AI, discusses why RAG isn’t obsolete despite massive context windows, explaining how RAG 2.0 rep...
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31:24

Unlocking AI Superpowers in Your Terminal
Zach Lloyd, Founder/CEO of Warp, joins the podcast to discuss how Warp is revolutionizing the command-line terminal by integrating AI.Subscribe t...
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44:59

From Vibe Coding to Autonomous Agents
Jackie Brosamer and Brad Axen from Block discuss codename goose (Goose), their open-s...
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51:16

How a Public-Benefit Startup Plans to Make Open Source the Default for Serious AI
Oumi Labs CEO Manos Koukoumidis lays out a vision for “unconditionally open” foundation models...
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48:45

The Highly Uncertain Future of OpenAI’s Dominance
Dan Schwarz (CEO & Co-Founder, Futuresearch) explains why his firm finds OpenAI’s $125 billion revenue projection highly implausible, cit...
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54:07
