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The Data Exchange with Ben Lorica

Ben Lorica
Large Language Models
Generative AI
Machine Learning
Lamini
AMD
Artificial Intelligence
Incentives
Fine Tuning
Open Source Models
Proprietary Models
Retrieval-Augmented Generation
Timegpt
Knowledge Graphs
Wealth Management
Arta Finance
Software Engineering
Nexus Raven
Nexusflow AI
Synthetic Biology
Non-Monetary Incentives

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

In this episode, host Ben Lorica talks with Sakana AI research scientist Stefania Druga, formerly a research scientist at Google DeepMind, about building AI tools for young learners and what that teaches us about AI design for everyone.

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Stanford professor and Kumo.ai co-founder Jure Leskovec introduces the concept of a relational foundation model for structured enterprise data. 

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This episode features Philip Rathle, CTO of Neo4j, discussing the real-world state of Graph RAG and its journey from prototype to production in enterprise AI systems. 

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Emmanuel Ameisen, an interpretability researcher at Anthropic, joins the podcast to demystify how large language models work.

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Key Facts

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Recent Guests

Jure Leskovec
Professor at Stanford and co-founder of Kumu.ai
Kumu.ai
Episode: The AI Revolution Finally Comes to Structured Data
Emmanuel Ameisen
Researcher at Anthropic focusing on Interpretability Research and author of an O'Reilly book.
Anthropic
Episode: How Language Models Actually Think
Ciro Greco
Co-founder and CEO at Bauplan
Bauplan
Episode: Making Data Engineering Safe for Automation and Agents
Zhen Lu
CEO of Runpod, an all-in-one cloud platform for AI
Runpod
Episode: The Infrastructure for Production AI
Yoni Leitersdorf
CEO and co-founder at Solid
Solid
Episode: How to Make Your Data Truly AI-Ready
Jakub Zavrel
Founder and CEO of Zeta Alpha
Zeta Alpha
Episode: How to Build and Optimize AI Research Agents
Andrew Rabinovich
CTO and head of AI at Upwork
Upwork
Episode: Why Digital Work is the Perfect Training Ground for AI Agents
Jay Alammar
Director and Engineering Fellow at Cohere, author of 'Hands-on Large Language Models'
Cohere
Episode: Beyond the Chatbot: What Actually Works in Enterprise AI
Raiza Martin
Co-founder of Huxe
Huxe
Episode: From NotebookLM to Audio Companions: Why Google’s AI Team Went Startup

Host

Ben Lorica
Host of engaging conversations with thought leaders, researchers, and practitioners in AI, machine learning, and data science.

Reviews

5.0 out of 5 stars from 853 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 States6 months 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 States6 months 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.

Listeners praise the informative and insightful discussions, often noting the blend of guest expertise and host knowledge as a highlight.
There is appreciation for the depth of topics covered and the relevance to current trends in technology and data management.
Some reviews indicate a desire for improved sound quality, pointing to technical aspects that could enhance the listening experience.

Chart Rankings

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

Apple Podcasts
#228
United Kingdom/Technology
Apple Podcasts
#116
Italy/Technology
Apple Podcasts
#188
Germany/Technology
Apple Podcasts
#72
Singapore/Technology
Apple Podcasts
#91
Russia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Databases for Machines, Not People
Q: Can you explain that to our listeners? What are the implications for that if you happen to work in an enterprise?
Your traditional process of figuring out what we're going to do next, there's a lot of this upfront, let's draw pictures or let's write things down before we get into the building process, because the building process is expensive, takes a long time.
Databases for Machines, Not People
Q: Even though it's accessible to regular users, it's something that developers should actually also consider, right?
Absolutely what we put out there is for developers.
Databases for Machines, Not People
Q: So which brings us to something you folks announced recently, which I want to get into a little bit. It's AgentDB, which for our listeners, you can find at agentdb.dev. First of all, what problem is AgentDB trying to solve?
We're very related to what we're just talking about, which is how do we get AI agents or just AI models in general to use databases effectively.
Beyond the Chatbot: What Actually Works in Enterprise AI
Q: How much customization do you have to do when you talk to these teams?
Customization is crucial to ensure relevance to specific industries, such as finance.
Beyond the Chatbot: What Actually Works in Enterprise AI
Q: What has changed in how you think about teaching and building with LLMs?
The experience of working with LLMs in a company offers practical insights that enhance teaching.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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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?

Conversations with leading experts in technology and data science cover a variety of relevant topics such as artificial intelligence, machine learning, and the future of data management and analysis. Episodes often focus on how innovation intersects with real-world applications, discussing both advancements and challenges in the field. Unique insights into corporate strategies regarding AI deployment, the evolution of data engineering, and frameworks for effective AI implementation provide listeners with a well-rounded perspective on how these technologies impact businesses today.

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How many listeners does The Data Exchange get?

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Which podcasts are similar to The Data Exchange?

These podcasts share a similar audience with The Data Exchange:

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4. No Priors: Artificial Intelligence | Technology | Startups
5. Super Data Science: ML & AI Podcast with Jon Krohn

How many episodes of The Data Exchange are there?

The Data Exchange launched 6 years ago and published 319 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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Where can I see ratings and reviews for The Data Exchange?

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What guests have appeared on The Data Exchange?

Recent guests on The Data Exchange include:

1. Jure Leskovec
2. Emmanuel Ameisen
3. Ciro Greco
4. Zhen Lu
5. Yoni Leitersdorf
6. Jakub Zavrel
7. Andrew Rabinovich
8. Jay Alammar

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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