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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
Natural Language Processing
Foundation Models
BAML
Language Models
Data Engineering
Cybersecurity
Automation
Data Quality
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 Evangelos Simoudis  about three forces reshaping AI: why recent “rogue agent” incidents may be more about permissions, identity, and governance than runaway intelligence; how the belief that AGI is near is helping sustain enormo... more

Yoon Kim, President and Chief Strategy Officer of TwelveLabs, explains why understanding video takes more than bolting a language model onto a stream of frames. He walks through how TwelveLabs’ two foundation models, Marengo and Pegasus, embed and de... more

Andrew Burt, CEO and co-founder of Luminos, joins Ben Lorica to unpack Luminos’s new report, A Practical Guide to Agentic and Gen AI Risk Evals. 

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

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Ben Lorica speaks with Denise Teng, partner at Gradient Ventures, about the real state of enterprise AI adoption, why security and data privacy still slow deployment, and why open weights may become increasingly important for regulated industries.

S... more

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Recent Guests

Helen Gu
CEO at InsightFinder AI, Professor at North Carolina State University
InsightFinder AI
Episode: The Hidden Failure Modes of AI Agents
Hamza Tahir
Founder of Kitaru
Kitaru
Episode: AI Agents Are Implemented, Not Adopted
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

Host

Ben Lorica
Host of The Data Exchange

Reviews

5.0 out of 5 stars from 855 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 States3 years ago
  • Most favourite!

    I listen this show again and again!

    Apple Podcasts
    5
    fazlerabbykhoks
    United States3 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
#122
South Africa/Technology
Apple Podcasts
#167
Chile/Technology

Talking Points

Recent interactions between the hosts and their guests.

The Hidden Failure Modes of AI Agents
Q: What are the typical challenges when moving from demo to production for AI systems?
In real-world deployment, data can differ from training data, leading to wrong or misleading outputs; this creates risk in regulated sectors, which is why the platform focuses on end-to-end lifecycle monitoring, evaluation, and automatic remediation to catch problems early.
The Hidden Failure Modes of AI Agents
Q: So is it fair to say, Helen, that the DNA of the company still remains with the IT ops community? Is that the target for the tools you're building?
The mission is to improve reliability for systems using AI technology, and this has never changed; we're expanding to AI systems and agent-based workflows while keeping a holistic view of monitoring both IT infrastructure and the AI models, data, and prompts involved.
The Data Stack Wasn't Built for AI — Here's What Comes Next
Q: What workloads and teams are using Lance today?
LanceDB excels at managing large-scale AI data, including embeddings for search, data curation, feature extraction, and supporting GPU-heavy distributed training, making it suitable for organizations running large AI workloads.
The Data Stack Wasn't Built for AI — Here's What Comes Next
Q: So maybe give our listeners, Chang, a high level description of the Lance format and why it's become so popular.
Lance is a Lakehouse format that spans file, table, and indexing layers, designed for fast random access and optimized for AI datasets; it integrates with Parquet/Iceberg ecosystems but offers better support for multimodal data and ML workflows.
The Data Stack Wasn't Built for AI — Here's What Comes Next
Q: So Chang, at this point, do you think that more people are aware of this disconnect between those traditional tools and the kinds of tools they'll need moving forward?
Yes, there's broad recognition among data infrastructure professionals that the existing stack is insufficient for AI data and that a more integrated approach is needed to manage embeddings, metadata, and multimodal data across the lifecycle.

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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The Data Exchange launched 7 years ago and published 361 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. Helen Gu
2. Hamza Tahir
3. Zhou Yu
4. Doris Xin
5. Moustafa Abdelbaky
6. Terrence Lee-St. John
7. Evan Marshall
8. Richard Garris

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