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The Data Exchange with Ben Lorica

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Rating
★★★★★
4.6
from
38 reviews
This podcast has
343 episodes
Language
English
Publisher
Ben Lorica
Explicit
No
Date created
2019/11/12
Latest episode
2026/04/23
Average duration
40 min.
Release period
6 days

Description

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/].

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Podcast episodes

Check latest episodes from The Data Exchange with Ben Lorica podcast


From Web Video to Real-World Robots
2026/04/23
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.  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Why Your AI Committee Might Be Your Biggest AI Problem
2026/04/18
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. Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Building Mathematical Superintelligence
2026/04/16
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.”  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Your First AI Employee Is Already Clocking In
2026/04/09
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.”  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Are Multi-Agent Systems More Complex Than They Need to Be?
2026/04/02
In this episode, host Ben Lorica sits down with Arun Kumar (Associate Professor at UC San Diego and Co-founder/CTO of RapidFire AI) to explore the rapidly evolving discipline of agent engineering.  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Coding Agents Meet Data Science
2026/03/26
In this episode, Ben Lorica is joined by Mikio Braun, Senior Principal Applied Scientist at Zalando, for a wide-ranging conversation about the practical realities of AI-powered coding agents. They explore the unique challenges of using coding agents for data science workflows, the team-level implications of dramatically increased developer velocity, and what skills will matter most in an AI-augmented workplace.  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
World Models Are Here—But It’s Still the GPT-2 Phase
2026/03/19
In this episode, host Ben Lorica speaks with Jeff Hawke, CTO at Odyssey, about world models — a category of AI that generates continuous, interactive simulations from images or text prompts.  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
The Hidden Challenges of Running AI at Scale in Production
2026/03/12
Chen Goldberg, EVP of Engineering at CoreWeave, joins the podcast to discuss the critical infrastructure shifts required as companies move AI from pilot to production.  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
What No One Tells You About Staying Employable in the AI Era
2026/03/07
In this episode, host Ben Lorica is joined by Evangelos Simoudis to explore how artificial intelligence is reshaping the modern workplace and what knowledge workers must do to adapt.  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Adaptation: The Missing Layer Between Apps and Foundation Models
2026/03/05
Ben Lorica talks with Sudip Roy (Co-founder & CTO, Adaption Labs) about why enterprise AI adoption stalls in the “last 5%” of reliability — and why waiting for the next frontier model release is usually the wrong bet. They unpack “adaptation” as something broader than post-training, including gradient-free, inference-time techniques that can sit above models to route, combine, and continuously improve behavior. Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Securing the "YOLO" Era of AI Agents
2026/02/26
Jason Martin, Director of Adversarial Research at HiddenLayer, returns to discuss the security implications of OpenClaw, a viral open-source AI personal assistant that was entirely vibe-coded and has exploded to 180,000 GitHub stars.  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Building the Open Source Alternative to AWS
2026/02/19
In this episode, Umur Cubukcu, co-founder of Ubicloud, explains what an “open cloud” should mean in practice — starting with an open-source control plane and extending to transparency, portability, and freedom from data lock-in.  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Breaking the Memory Wall in the Age of Inference
2026/02/12
In this episode, Sid Sheth, founder and CEO of d-matrix, discusses the company’s approach to AI inference hardware with a focus on solving the memory bottleneck problem.  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Is Waymo Actually Profitable? The Real Cost of the Robotaxi Revolution
2026/02/07
Ben Lorica and Evangelos Simoudis discuss two critical technology infrastructure topics: the evolving economics of autonomous vehicles and growing local opposition to AI data centers.  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Beyond Vibe Coding: Building Your Entire Business with AI
2026/02/05
Ethan Ouyang, Technical Lead at Atoms, joins the podcast to discuss the rise of “vibe business”: multi-agent AI systems that can research a market, design a product, build and launch it, and iterate toward revenue.  Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS. Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Podcast reviews

Read The Data Exchange with Ben Lorica podcast reviews


4.6 out of 5
38 reviews
★★★★★
Buck Trends 2021/05/29
Indispensable source of information about trends in all things Data
No one monitors the pulse of data trends better than Ben. This pod cast and his other Gradient Flow content are indispensable for those of us in the d...
★★★★★
abdorima 2020/11/12
Great podcast!!! Keep it up!!!
This podcast is awesome! So many things in the world are evolving everyday and Ben is ON IT talking about technology, science, AI, and so much more. W...
★★☆☆☆
N Thalanki 2021/03/24
Promising but still portrays giddy ra ra data science basis
Ben has a data science bias that shows up in how he invariably pivots all conversations to it despite his protestations. I guess his bias is why we m...
★★★★★
sam_roon 2020/04/19
Great Podcast!
Never a bad episode! Always engaging guests, Ben does an excellent job as a host! Keep up the great work!
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