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Artwork for The Data Exchange

The Data Exchange with Ben Lorica

Ben Lorica
Generative AI
Artificial Intelligence
Large Language Models
AI Agents
Machine Learning
Open Source Software
Knowledge Graphs
Graph Rag
Openai
Data Science
Foundation Models
Natural Language Processing
BAML
Language Models
Data Quality
Data Engineering
Cybersecurity
Automation
Cloud Computing
Unstructured Data

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. Detaile... more

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Artwork for The Data Exchange

Latest Episodes

Ben Lorica talks with Chang She, co-founder and CEO of LanceDB, about the limitations of traditional analytical data tools like Pandas and Parquet when applied to AI workloads. They discuss the rise of the “multimodal lakehouse,” the unique data stor... more

Ben Lorica is joined by Evangelos Simoudis for a wide-ranging check-in on how AI is reshaping mobility, enterprise software, and corporate strategy.

Subscribe to the Gradient Flow Newsletter 📩  gradientflow.substack.com/

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Ben Lorica speaks with Hamza Tahir, co-founder of Kitaru, about what it takes to move AI agents from demos to production. They discuss the difference between workflows and agents, why “harness engineering” is becoming a useful frame for application b... more

In this episode, host Ben Lorica sits down with Zhou Yu, associate professor of computer science at Columbia University and co-founder of Arklex AI. 

Subscribe to the Gradient Flow Newsletter 📩  gradientflow.substack.com/

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Podcast Host
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Recent Guests

Zhou Yu
Associate Professor of Computer Science at Columbia University; co-founder of Arklex AI
Columbia University; Arklex AI
Episode: Why Your AI Agent Isn't Ready to Ship (And How to Know When It Is)
Doris Xin
Co-founder of Disarray
Disarray
Episode: Why Foundation Models Haven’t Replaced Classical Machine Learning
Moustafa Abdelbaky
Co-founder of Disarray
Disarray
Episode: Why Foundation Models Haven’t Replaced Classical Machine Learning
Terrence Lee-St. John
Founder of Enli
Enli
Episode: When "Garbage In, Garbage Out" Gets It Wrong
Evan Marshall
CTO of Ito AI, focused on automated QA for pull requests
Ito AI
Episode: As Code Generation Speeds Up, Who Tests the Output?
Richard Garris
Databricks executive discussed on the show
Databricks
Episode: The Gap Between AI Hype and Enterprise Reality
Barry Dauber
Databricks executive discussed on the show
Databricks
Episode: The Gap Between AI Hype and Enterprise Reality
Nick Vasiloglou
VP of Research at Relational AI
Relational AI
Episode: Reading the Tea Leaves: What the World's Top AI Researchers Are Really Working On
Tudor Achim
Founder of Harmonic, researcher working on formal verification and AI-assisted mathematics
Harmonic
Episode: Building Mathematical Superintelligence

Host

Ben Lorica
Host of The Data Exchange

Reviews

5.0 out of 5 stars from 856 ratings
  • I’ve been listening to Ben Lorica’s podcasts since 2015. At every stage in my career as a data scientist / engineer / architect, at every company and in every industry, his podcasts have kept me informed of advances that impact my team’s work and reduce my professional “blind-spots” / “unknown unknowns”.

    Audible
    5
    aces
    United Statesa year ago
  • Essential for data professionals

    I’ve been listening to Ben Lorica’s podcasts since 2015. At every stage in my career as a data scientist / engineer / architect, at every company and in every industry, his podcasts have kept me informed of advances that impact my team’s work and reduce my professional “blind-spots” / “unknown unknowns”.

    Audible
    5
    aces
    United Statesa year ago
  • Really Awesome interview!

    Love this show. Keep up the good woek!

    Apple Podcasts
    5
    Brandy-Thins
    France2 years ago
  • Great

    Hey man really great your show.Love it!

    Apple Podcasts
    5
    Riyaparvin76
    United States2 years ago
  • Most favourite!

    I listen this show again and again!

    Apple Podcasts
    5
    fazlerabbykhoks
    United States2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

The host keeps conversations engaging and accessible for both practitioners and leaders.
Listeners appreciate the breadth of topics—from AI governance to enterprise AI—kept approachable.
Guests bring deep expertise, and the host draws practical takeaways for real-world work.
High-quality sound and thoughtful interview style are consistent strengths of the show.
A few episodes note room for improvement in technical depth or sound quality occasionally.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#220
New Zealand/Technology

Talking Points

Recent interactions between the hosts and their guests.

Why Foundation Models Haven’t Replaced Classical Machine Learning
Q: Why aren't foundation models replacing traditional ML for enterprise data tasks?
Foundation models struggle with non-language data, proprietary datasets, and the need for robust data integration and lineage; enterprise use cases require multimodal handling, context, and governance that localized, context-rich systems better provide.
Why Your AI Agent Isn't Ready to Ship (And How to Know When It Is)
Q: Can Arklex help after deployment, for example in incident response or CI/CD pipelines?
Yes. Arklex can monitor production traces, certify how things are performing, and integrate with CI/CD to add regression tests for new versions, though auto-fix is not currently part of the offering.
Why Your AI Agent Isn't Ready to Ship (And How to Know When It Is)
Q: What are the core components of Arklex's solution for a CTO?
The platform provides scalable simulation of edge cases, centralized test-case management, and a verifier-driven evaluation framework that can be customized by non-technical product managers, enabling continuous QA and regression testing.
Why Your AI Agent Isn't Ready to Ship (And How to Know When It Is)
Q: What is the typical scenario for Arklex customers in terms of their current adoption level of agents?
Customers range from early demos to production pilots, but the strongest demand comes from teams that have already deployed agents and now need reliable, scalable testing and QA to prevent regressions and ensure compliance.
Building Mathematical Superintelligence
Q: Is MSI tied to any particular model architecture or foundation model?
No, MSI is described as an AI system for math that is not tied to a single model architecture; the system could incorporate different components as needed.

Audience Metrics

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Frequently Asked Questions About The Data Exchange

What is The Data Exchange about and what kind of topics does it cover?

A thoughtful tech-focused show featuring in-depth conversations with researchers, practitioners, and industry leaders about data, AI, and the evolving landscape of technology. Episodes frequently center on enterprise AI, data governance, AI tooling, and practical deployment patterns, with real-world anecdotes from finance, manufacturing, media, and software. A recurring strength is translating cutting-edge research into actionable insights for practitioners, with attention to governance, security, and cost when building production-grade AI and data systems. Notable is the host's ability to weave technical detail with accessible storytelling, and the show's emphasis on enabling listeners to apply concepts in their own organizations. This mix... more

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1. Super Data Science: ML & AI Podcast with Jon Krohn
2. Machine Learning Street Talk (MLST)
3. No Priors: Artificial Intelligence | Technology | Startups
4. Training Data
5. The MAD Podcast with Matt Turck

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The Data Exchange launched 7 years ago and published 352 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on The Data Exchange?

Recent guests on The Data Exchange include:

1. Zhou Yu
2. Doris Xin
3. Moustafa Abdelbaky
4. Terrence Lee-St. John
5. Evan Marshall
6. Richard Garris
7. Barry Dauber
8. Nick Vasiloglou

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