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/].
- Update frequency
- every 7 days
- Average duration
- 41 minutes
- Episodes
- 302
- Years Active
- 2019 - 2025
Beyond the Demo: Building AI Systems That Actually Work
Hamel Husain is the founder of Parlance Labs. He discusses how successful AI implementation requires fundamental data science skills often overlooked in current educational resources that focus too h…
Vibe Coding and the Rise of AI Agents: The Future of Software Development is Here
Steve Yegge is an evangelist at Sourcegraph, a startups that is industrializing software development with AI agents. This episode explores the paradigm shift in software development with the rise of …
2025 Artificial Intelligence Index
Nestor Maslej is a Research Manager at Stanford's HAI, and editor-in-chief of the 2025 AI Index Report.
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How AI is Transforming Talent Development
Workera founder, Kian Katanforoosh, discusses how skills verification has evolved into a critical market focused on both assessment and professional development.
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Prompts as Functions: The BAML Revolution in AI Engineering
David Hughes, Principal Data & AI Solution Architect at Enterprise Knowledge. Our discussion centers on BAML, a domain-specific language that transforms prompts into structured functions with defined…
Bridging the AI Agent Prototype-to-Production Chasm
Ilan Kadar is co-founder and CEO of Plurai. This episode introduces IntellAgent, an open-source platform designed to address these challenges through synthetic data generation, knowledge graph constr…
The Evolution of Reinforcement Fine-Tuning in AI
Travis Addair is Co-Founder & CTO at Predibase. In this episode, the discussion centers on transforming pre-trained foundation models into domain-specific assets through advanced customization techni…
Beyond GPUs: Cerebras’ Wafer-Scale Engine for Lightning-Fast AI Inference
Hagay Lupesko is the SVP for AI Inference at Cerebras Systems.
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The Future of AI: Regulation, Foundation Models & User Experience
This is our semi-regular conversation on topics in AI and Technology with Paco Nathan, the founder of Derwen, a boutique consultancy focused on Data and AI.
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The AI Agent Rundown: 10 Things to Know Now
This episode explores the rapidly evolving world of AI agents, covering topics from GUI-based interaction and layered architectures to modular design, safety, and real-world deployment challenges.
Thi…
Why ‘Structure’ Is All You Need: A Deep Dive into Next-Gen AI Retrieval
Tom Smoker is the co-founder of WhyHow.ai, a startup that transforms unstructured data into structured knowledge, including knowledge graphs, enabling enterprises to deploy accurate and explainable A…
Why Legal Hurdles Are the Biggest Barrier to AI Adoption
Andrew Burt is CEO of Luminos AI, a startup that provides AI and legal teams the tools they need to reduce AI liabilities and sign off on AI risks.
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Unlocking Spreadsheet Intelligence with AI
Hjalmar Gislason is founder and CEO of Grid, a startup focused on bringing spreadsheets into the AI-first era.
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Monthly Roundup: Deregulation, Hardware, and Inference Scaling
This is our monthly conversation on topics in AI and Technology with Paco Nathan, the founder of Derwen, a boutique consultancy focused on Data and AI.
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What AI Teams Need to Know for 2025
As AI moves from buzzword status to a core business driver, 2025 will be a turning point for organizations adopting advanced machine learning and generative models. This episode explores pivotal them…
AI Unlocked: The Data Bottleneck
Generative AI is transforming industries, but its full potential is hampered by a critical bottleneck: data. This episode explores the challenges of processing unstructured data, the shift from SQL-c…
The Data-Centric Shift in AI: Challenges, Opportunities, and Tools
Robert Nishihara is co-founder of Anyscale and co-creator of Ray, the open source project that has emerged as the AI Compute Engine.
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Monthly Roundup: Semiconductors, Frontier Models, and Practical Innovations
This is our monthly conversation on topics in AI and Technology with Paco Nathan, the founder of Derwen, a boutique consultancy focused on Data and AI.
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Breaking the Cloud Barrier: How DBOS Transforms Application Development
Qian Li and Peter Kraft, co-founders at DBOS, Inc., a startup that’s building a serverless platform for building highly reliable applications. We dive into DBOS, a system built on Postgres that addre…