Best Causal Machine Learning Podcasts (2025)

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944: Gemini 3 Pro: Google’s Back on Top 8:21

Play Pause

3d ago8:21

8:21

Google is steaming ahead with launching its top-league new Gemini 3 Pro model across their product suite, from Google Search to Vertex AI cloud services. The multinational tech company is also letting eager early adopters like Wayfair and GitHub. Get all the detailed data, its performance across hard-to-game industry benchmarks, and what this all m…

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Numerical Machine Learning: Where Physics Meets AI 40:35

4h ago40:35

40:35

Discover how engineering, simulation, and AI converge to shape tomorrow’s breakthroughs. Why combining math and machine learning changes everything. In this episode, I sit down once again with Professor Oliver Niggemann to unravel the world of numerical machine learning—where traditional engineering meets cutting-edge AI. We explore real-world proj…

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943: Creative Machines: AI in Music and Art, with Prof. Maya Ackerman 56:38

6d ago56:38

56:38

Creative human-AI partnerships and AI-generated music: WaveAI CEO and co-founder Maya Ackerman speaks with Jon Krohn about learning to see – and accept – AI’s potential as a creative partner in a human-centric, AI-forward future. Listen to the episode to hear Maya Ackerman discuss reframing hallucination as a creative force, her work at WaveAI, and…

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Designing Recommender Systems for Digital Humanities 36:48

28m ago36:48

36:48

In this episode of Data Skeptic, we explore the fascinating intersection of recommender systems and digital humanities with guest Florian Atzenhofer-Baumgartner, a PhD student at Graz University of Technology. Florian is working on Monasterium.net, Europe's largest online collection of historical charters, containing millions of medieval and early …

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942: Odds of AGI by 2040? LEAP Expert Forecasts and Workforce Implications 6:13

10d ago6:13

6:13

What’s on the horizon for AI? Jon Krohn wades through opinions from more than experts, curated by the Longitudinal Expert AI Panel (LEAP), about what we can expect from the industry. From estimates on AI-assisted workers through energy consumption to AI performance in highly skilled domains, find out just how much LEAP thinkers believe AI is permea…

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Physics and Causality in Robotics 55:10

9d ago55:10

55:10

Exploring digital sovereignty, world models, and the new AI battleground. Dive into the race shaping tomorrow’s robotics.In this episode, we dig deep into the evolving landscape of industrial AI, from billion-dollar cloud partnerships in Europe to the fierce debate over digital sovereignty. We break down what sets 'sovereign by contract' apart from…

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941: Multi-Agent Human Societies, with Dr. Vijoy Pandey 1:06:14

13d ago1:06:14

1:06:14

Vijoy Pandey imagines a bold new society in which agents and humans make scientific discoveries and complete physical tasks together, and he tells Jon Krohn about his work at AGNTCY, Cisco’s open-source platform for the Internet of Agents. Listen to the episode to hear Vijoy Pandey talk about how a future society in which multi-agents and humans in…

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940: In Case You Missed It in October 2025 43:27

17d ago43:27

43:27

Jon Krohn curates a selection of clips from the month that was. Hear from the orchestrators of an expanding AI universe in this episode of In Case You Missed It, with news, views and groundbreaking ideas from Sheamus McGovern, Jerry Yurchisin, Stephanie Hare, Larissa Schneider, and Adrian Kosowsky. We cover baby dragons, the Hippocratic Oath, and, …

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DataRec Library for Reproducible in Recommend Systems 32:48

10d ago32:48

32:48

In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich explores DataRec, a new Python library designed to bring reproducibility and standardization to recommender systems research. Guest Alberto Carlo Maria Mancino, a postdoc researcher from Politecnico di Bari, Italy, discusses the challenges of dataset management in recomm…

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MathWorks and the evolution of AI in engineering 40:02

12d ago40:02

40:02

From neural networks in the ‘90s to the rise of AI copilots—how MathWorks is shaping the future of engineering innovation. In this episode, I sit down with Richard Rovner, Vice President of Marketing at MathWorks, to explore the fascinating evolution of AI in engineering. We trace the technology’s journey from its early days in the 1980s, through t…

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939: Mixture-of-Experts and State-Space Models on Edge Devices, with Tyler Cox and Shirish Gupta 1:06:11

20d ago1:06:11

1:06:11

State space models (SSMs), granite models, and Mamba: Dell’s Tyler Cox and Shirish Gupta discuss with Jon Krohn why state space models can process information so efficiently, and how Dell’s AI factory helps enterprises manage custom AI workloads. Hear the latest on the Dell Pro AI Studio and Dell’s partnerships with IBM and Hugging Face in this epi…

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938: Frontier AI Agents for Data Science, with Sphinx’s Rohan Kodialam 19:14

25d ago19:14

19:14

Jon Krohn speaks to Rohan Kodialam, Cofounder and CEO of Sphinx, the company that redefines how machine intelligence reasons data with frontier AI. In this Feature Friday, Jon and Rohan discuss the benefits of using Sphinx to assist with data analysis. Get under the hood to learn how Sphinx operates, from running commands to ensuring your data stay…

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No GenAI without a Data Science Team 46:08

22d ago46:08

46:08

GenAI hype meets industrial reality. Discover why data teams still matter—and where AI is truly delivering impact. In this episode, we dive deep into the real-world state of AI adoption across industries, unpacking the findings of a major new survey with Gabriel Krummenacher. We explore which AI use cases actually move the needle—hint: operational …

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Shilling Attacks on Recommender Systems 34:48

22d ago34:48

34:48

In this episode of Data Skeptic's Recommender Systems series, Kyle sits down with Aditya Chichani, a senior machine learning engineer at Walmart, to explore the darker side of recommendation algorithms. The conversation centers on shilling attacks—a form of manipulation where malicious actors create multiple fake profiles to game recommender system…

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937: How to Design AI-First Products, with Marc Dupuis 59:32

28d ago59:32

59:32

AI tools won’t eliminate but elevate data scientists, says Marc Dupuis. The CEO of fabi.ai talks to Jon Krohn about the new wave of AI-driven platforms that integrate workflows within popular work tools like Slack and email, and how building AI-first products means widening access to all ability levels. This episode is brought to you by the Gurobi⁠…

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936: LLMs Are Delighted to Help Phishing Scams 5:07

1M ago5:07

5:07

How much power – and risk – do we carry around with us in our pockets? A Reuters investigation about how easily LLMs can be utilized for online phishing scams is the subject of this week’s Five-Minute Friday with Jon Krohn. By asking six of the most popular LLMs (Grok, ChatGPT, Meta AI, Claude, DeepSeek and Gemini) to generate phishing emails speci…

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The Causal Gap: Truly Responsible AI Needs to Understand the Consequences | Zhijing Jin S2E7 1:03:17

26d ago1:03:17

1:03:17

Send us a text The Causal Gap: Truly Responsible AI Needs to Understand the Consequences Why do LLMs systematically drive themselves to extinction, and what does it have to do with evolution, moral reasoning, and causality? In this brand-new episode of Causal Bandits, we meet Zhijing Jin (Max Planck Institute for Intelligent Systems, University of …

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The "Schalker Jung" at Gemini 43:34

29d ago43:34

43:34

From cutting-edge grippers to Gemini’s world-building vision - insights from Schunk’s CTO and Google DeepMind’s Phillip Lippe In this episode, I sit down with Schunk CTO Timo Gessmann and Google DeepMind’s Phillip Lippe to explore how AI is transforming the world of robotics and industrial automation. We kick things off with Timo, who shares his vi…

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Music Playlist Recommendations 52:29

1M ago52:29

52:29

In this episode, Rebecca Salganik, a PhD student at the University of Rochester with a background in vocal performance and composition, discusses her research on fairness in music recommendation systems. She explores three key types of fairness—group, individual, and counterfactual—and examines how algorithms create challenges like popularity bias …

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935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie Hare 1:17:27

1M ago1:17:27

1:17:27

Jon Krohn speaks to researcher, broadcaster and author Stephanie Hare about how the Hippocratic Oath might apply to artificial intelligence, and a guiding ethos for pushing innovation while protecting users from harm. A code of conduct, she says, could be one approach to ensuring that people are using technology more mindfully and ethically, as wel…

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934: Is AI Replacing Junior Workers? 6:55

1M ago6:55

6:55

With the number of jobs dramatically slowing in the last year, many question if this decline is down to companies turning to AI for completing entry-level tasks in particular. Research published earlier this month by Yale University shows no major difference in the types of roles and tasks in so-called `white-collar jobs` since late 2022, an auspic…

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AI in the Forest 2: From Annotation to Automation 49:26

1M ago49:26

49:26

Dive into the future of industrial AI with unique human stories and cutting-edge model breakthroughs. Discover why time series is the next frontier. We spent time at our event in the Black Forest, where innovation met inspiration at our latest industrial AI gathering. In this episode, we share stories—from empowering autistic talent in data annotat…

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933: Future-Proofing Your Career in the AI Era, feat. Sheamus McGovern 1:15:10

1M ago1:15:10

1:15:10

Sheamus McGovern, CEO of Open Data Science, takes Jon Krohn and his listeners on a journey to launching his popular data science and AI conference, now in its tenth year, as well as the great shifts to the fields that he has seen on the way. For Seamus, the growth of his Open Data Science Conference has shown him that an AI engineer is just the beg…

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932: Should You Build or Buy Your AI Solution? With Larissa Schneider 29:10

2M ago29:10

29:10

Larissa Schneider speaks to Jon Krohn in this Feature Friday about finding the right time to invest in AI solutions, and when it’s better to build them yourself. She discusses her work leading global strategy and operations at Unframe, and how they raised $50 million in venture capital since the company’s launch in March 2025. Additional materials:…

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AI and spot welding inspection: Reinventing Quality Control 34:00

1M ago34:00

34:00

How ultrasonic data and AI are transforming spot weld inspection. A look inside next-gen automotive manufacturing innovation. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS In this episode, I dive into the fascinating world of non-destructive material testing…

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Bypassing the Popularity Bias 34:33

1M ago34:33

34:33

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931: Boost Your Profits with Mathematical Optimization, feat. Jerry Yurchisin 1:13:12

2M ago1:13:12

1:13:12

AI predictions, and how to act on them: Data Science Strategist at Gurobi, Jerry Yurchisin, speaks to Jon Krohn about how mathematical optimization helps enterprises automate decisions for business success and where to find the resources to make it happen. This episode is brought to you by the ⁠ODSC, the Open Data Science Conference, by Fabi, by ⁠D…

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930: In Case You Missed It in September 2025 37:25

2M ago37:25

37:25

Jon Krohn’s highlights from this month of interviews focus on ways to future-proof your career, looking at the hardware that will get you the most mileage, the emerging roles that are well worth a look, and the developments in AI that will endure in a field constantly testing the durability of its own breakthroughs. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠…

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Sustainable Recommender Systems for Tourism 38:02

2M ago38:02

38:02

In this episode, we speak with Ashmi Banerjee, a doctoral candidate at the Technical University of Munich, about her pioneering research on AI-powered recommender systems in tourism. Ashmi illuminates how these systems can address exposure bias while promoting more sustainable tourism practices through innovative approaches to data acquisition and …

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The Welding World Model 46:31

2M ago46:31

46:31

From industrial skepticism to breakthrough robotics—why adaptability and real-world data change everything. Discover what’s next for manufacturing AI. In this episode, we dive into the realities behind industrial AI adoption—both the successes and the setbacks. We share candid conversations with engineers frustrated by unreliable AI and explore why…

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929: Dragon Hatchling: The Missing Link Between Transformers and the Brain, with Adrian Kosowski 1:14:28

1M ago1:14:28

1:14:28

By Jon Krohn

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928: The “Lethal Trifecta”: Can AI Agents Ever Be Safe? 5:55

2M ago5:55

5:55

Prompt injections, malicious code, and AI agents: In this week’s Five-Minute Friday, Jon Krohn looks into the current security weaknesses found in AI systems. A structural vulnerability that The Economist dubs a “lethal trifecta” could cause havoc for AI users, unless we take the necessary steps to contain our systems. Additional materials: ⁠⁠⁠⁠⁠⁠⁠…

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The OPC UA MCP Server 45:35

2M ago45:35

45:35

Exploring the future of industrial AI, agents, and the Model Context Protocol. Find out if MCP is here to stay. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS More Links https://modelcontextprotocol.io/specification/2025-06-18https://a2a-protocol.org/latest/s…

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927: Automating Code Review with AI, feat. CodeRabbit’s David Loker 1:19:18

2M ago1:19:18

1:19:18

By Jon Krohn

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926: AI is Disrupting the Legal Industry: Are Paralegals Doomed? 4:47

2M ago4:47

4:47

In this Five-Minute Friday, Jon Krohn explores how AI is reshaping the legal industry. He investigates how AI tools are helping lawyers make conclusions faster, how paralegals are being retrained, and the latest in-demand role in law (hint: It concerns AI). Listen to hear how Harvey AI and Thomson Reuters’ CoCounsel are using AI to help lawyers get…

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From parades to protocols and AI literacy 56:10

2M ago56:10

56:10

From parades to protocols, we explore AI literacy, regulation, and the future of work. Discover how Europe’s AI Act is reshaping industry. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS In this episode, we dive into the evolving landscape of industrial AI, st…

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925: AI, Automation and the Future of Work, with Oxford’s Prof. Carl Benedikt Frey 1:10:06

2M ago1:10:06

1:10:06

Tech innovation’s dependence on economic systems, trust in technology throughout history, and job displacement through AI: The Dieter Schwartz Associate Professor of AI and work at the University of Oxford, Carl Benedikt Frey, talks to Jon Krohn about his latest book, How Progress Ends, as well as how different economic systems deal with innovation…

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Interpretable Real Estate Recommendations 32:57

2M ago32:57

32:57

In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich interviews Dr. Kunal Mukherjee, a postdoctoral research associate at Virginia Tech, about the paper "Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations" The discussion explores how the post-COVID real estate landscape has created a need for bette…

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Create Your Causal Inference Roadmap. Causal Inference, TMLE & Sensitivity | Mark van der Laan S2E6 | CausalBanditsPodcast.com 1:29:40

2M ago1:29:40

1:29:40

Send us a text Create Your Causal Inference Roadmap. Causal Inference, TMLE & Sensitivity If you're into causal inference and machine learning you probably heard about double machine learning (DML). DML is one of the most popular frameworks leveraging machine learning algorithms for causal inference, while offering good statistical properties. Yet.…

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924: 95% of Enterprise AI Projects Fail (Per MIT Research) 5:27

2M ago5:27

5:27

MIT lab NANDA (“Networked AI Agents in Decentralized Architecture”) reveals less than promising results for the future of AI adoption in businesses. According to “The GenAI Divide: State of AI in Business 2025”, a whopping 95% of enterprise AI projects “are getting zero return” on their $30-40 billion investment. Jon Krohn takes this Five-Minute Fr…

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Industrial AI Hardware: "CUDA was the last 15 years" 19:08

2M ago19:08

19:08

Inside AMD’s Open Approach to Industrial AI Innovation. Discover how diverse solutions are reshaping the edge-to-cloud landscape. In this episode, I sit down with Jens Stapelfeldt, Global AI Lead at AMD's University Program, to explore how AMD is challenging the status quo in AI hardware. We dive into the evolution from proprietary ecosystems to AM…

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923: Graph Algorithms, GraphRAG and Causal Graphs, with Graph Guru Amy Hodler 1:03:47

3M ago1:03:47

1:03:47

Graphs, but not as you would expect them: Graph analytics guru Amy Hodler speaks to Jon Krohn about the graph data structure and graph applications, graph algorithms, graph RAG, and graphs as memory systems for AI agents. We can use graphs in a surprising number of ways. Money laundering and fraud, as well as supply-chain crime, leave breadcrumbs a…

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922: AI for Manufacturing and Industry, with Hugo Dozois-Caouette 28:29

3M ago28:29

28:29

Hugo Dozois-Caouette speaks to Jon Krohn about his startup MaintainX and how he secured $254 million in venture capital, reaching a $2.5 billion valuation. MaintainX builds computerized maintenance management systems (CMMS) and enterprise asset management (EAM) software for industrial and manufacturing companies. This "digital clipboard" delivered …

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The AI Race for new Materials 50:10

3M ago50:10

50:10

From Paris to Montreal, we explore the future of generative AI in material science. Innovation, impact, and the Parisian startup spirit await. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our partner SIEMENS The Course Robert mentioned https://jmtomczak.github.io/crash-course-…

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921: NPUs vs GPUs vs CPUs for Local AI Workloads, with Dell’s Ish Shah and Shirish Gupta 1:12:12

3M ago1:12:12

1:12:12

Using Windows for AI development and the bleeding edge of NPUs: Shirish Gupta and Ish Shah from Dell Technologies speak to Jon Krohn about the latest products from Dell, the future of neural-processing units (NPUs), and how AI developers can make sound hardware investments. This episode is brought to you by the Trainium2, the latest AI chip from AW…

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Why Am I Seeing This? 49:36

3M ago49:36

49:36

In this episode of Data Skeptic, we explore the challenges of studying social media recommender systems when exposure data isn't accessible. Our guests Sabrina Guidotti, Gregor Donabauer, and Dimitri Ognibene introduce their innovative "recommender neutral user model" for inferring the influence of opaque algorithms.…

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920: In Case You Missed It in August 2025 21:57

3M ago21:57

21:57

This month’s episode of In Case You Missed It gives us reasons to be cautiously optimistic about the future of large language models (LLMs), with guests discussing what to do about recent reports that found AI agents blackmailed human users when threatened, the importance of post-training LLMs, and the training we have available for data and AI eng…

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919: Hopes and Fears of AGI, with All-Time Bestselling ML Author Aurélien Géron 1:29:51

3M ago1:29:51

1:29:51

PyTorch, AGI, and the future of alignment research: Aurélien Géron joins Jon Krohn in this live interview to talk about the fourth edition of his bestselling Hands-On Machine Learning as well as what superintelligence makes him hopeful for, as well as what concerns him about machines surpassing human intelligence. This episode is brought to you by …

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Eco-aware GNN Recommenders 44:42

3M ago44:42

44:42

In this episode of Data Skeptic, we dive into eco-friendly AI with Antonio Purificato, a PhD student from Sapienza University of Rome. Antonio discusses his research on "EcoAware Graph Neural Networks for Sustainable Recommendations" and explores how we can measure and reduce the environmental impact of recommender systems without sacrificing perfo…

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918: Multi-Agent Systems with CrewAI 9:16

3M ago9:16

9:16

In this Five-Minute Friday, Jon Krohn introduces listeners to CrewAI, an open-source Python framework that can create and manage multi-agent teams. The clue is in the title: CrewAI assembles specialized agents into single “crews” that achieve complex goals between them. CrewAI’s agent teams can also learn and iterate, meaning that after the crew ha…