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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
Foundation Models
Natural Language Processing
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

PublishesTwice weeklyEpisodes343Founded6 years ago
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Latest Episodes

Ben Lorica speaks with Changan Chen, co-founder and Chief Research Officer at Rhoda AI, about what it takes to build foundation models for robots that can operate in the real world. 

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In this episode, Ben Lorica and Evangelos Simoudis discuss how enterprises are structuring their internal AI efforts, highlighting the friction between top-down AI governance committees and bottom-up “shadow IT” innovation.

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Ben Lorica speaks with Tudor Achim, cofounder of Harmonic, about the fast progress of AI for mathematical reasoning and what it would take to build “mathematical superintelligence.” 

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In this episode, host Ben Lorica sits down with Kay Zhu, Co-founder & CTO of Genspark AI, to explore the rapid evolution of autonomous AI agents and the concept of hiring your first “AI employee.” 

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Recent Guests

Tudor Achim
Founder of Harmonic, researcher working on formal verification and AI-assisted mathematics
Harmonic
Episode: Building Mathematical Superintelligence
Kay Zhu
Co-Founder and CTO of Genspark AI
Genspark AI
Episode: Your First AI Employee Is Already Clocking In
Arun Kumar
Associate Professor of Computer Science at UC San Diego; co-founder and CTO of RapidFire AI
UC San Diego, RapidFire AI
Episode: Are Multi-Agent Systems More Complex Than They Need to Be?
Mikio Braun
Senior Principal Applied Scientist at Zalando
Zalando
Episode: Coding Agents Meet Data Science
Jeff Hawke
CTO at Odyssey, focused on world models and Odyssey 2 Pro
Odyssey
Episode: World Models Are Here—But It’s Still the GPT-2 Phase
Chen Goldberg
SVP of Engineering at CoreWeave
CoreWeave
Episode: The Hidden Challenges of Running AI at Scale in Production
Sudip Roy
Co-founder and CTO at Adaption Labs
Adaption Labs
Episode: Adaptation: The Missing Layer Between Apps and Foundation Models
Umur Cubukcu
Co-founder of Ubicloud
Ubicloud
Episode: Building the Open Source Alternative to AWS
Sid Sheth
Founder and CEO of D-Matrix
D-Matrix
Episode: Breaking the Memory Wall in the Age of Inference

Host

Ben Lorica
Host of engaging conversations with thought leaders and industry practitioners on topics related to technology, data science, and AI.

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.

Many enjoy the conversational style, which makes complex topics accessible to a broader audience while maintaining technical accuracy.
Reviews often mention the relevance of topics and the array of knowledgeable guests as key elements that enhance the learning experience regarding technology and data trends.
Listeners appreciate the engaging and informative nature of the discussions, frequently highlighting the depth of insights provided by various experts.

Chart Rankings

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

Apple Podcasts
#182
Philippines/Technology
Apple Podcasts
#221
New Zealand/Technology

Talking Points

Recent interactions between the hosts and their guests.

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.
Your First AI Employee Is Already Clocking In
Q: What steps did you take to make security stronger, given the handling of credentials and external prompts?
The approach includes a per-user isolated VM, a dedicated security team, automatic updates for the latest security fixes, and strict data handling with zero data retention agreements through third-party providers, along with safeguards to identify and separate external messages from internal instructions.
Your First AI Employee Is Already Clocking In
Q: How do the capabilities of Genspark Claw relate to traditional tools like Google Docs or Microsoft Word?
Genspark Claw is separate from those tools but aims to produce outputs in compatible formats (e.g., exporting slides to PPTX or Google Slides) while centralizing capabilities through Claw's own interface and subagents.
Are Multi-Agent Systems More Complex Than They Need to Be?
Q: What practical steps should practitioners take to evaluate agent systems?
Practitioners should perform systematic ablation and accumulation studies, build multiple retrieval and prompting configurations, and use Pareto frontier analysis to balance accuracy, latency, and cost, rather than relying on one-off demonstrations.
Are Multi-Agent Systems More Complex Than They Need to Be?
Q: What are the key differences between traditional ensembles and agentic workflows?
Agentic workflows introduce new concepts not present in classic ensembles, including persistent memory across sessions, dynamic topologies, autonomous agent behavior, and human-in-the-loop gating, which together expand the design space beyond fixed, pre-defined models.

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 series of engaging discussions with experts in technology, science, and data-related fields, featuring conversations on notable advances and challenges in artificial intelligence, data science, and machine learning. Guests from diverse backgrounds analyze pivotal trends, innovative solutions, and emerging technologies, offering insights into complex subjects such as AI security, cloud computing, and the evolving landscape of data observability. The show distinguishes itself through a conversational format that encourages guests to share their unique perspectives and experiences, making it an enriching resource for professionals interested in the latest advancements and practical applications in the industry.

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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:

1. Practical AI
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3. AI + a16z
4. The a16z Show
5. No Priors: Artificial Intelligence | Technology | Startups

How many episodes of The Data Exchange are there?

The Data Exchange launched 6 years ago and published 343 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. Tudor Achim
2. Kay Zhu
3. Arun Kumar
4. Mikio Braun
5. Jeff Hawke
6. Chen Goldberg
7. Sudip Roy
8. Umur Cubukcu

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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