922: AI for Manufacturing and Industry, with Hugo Dozois-Caouette
Hugo Dozois-Caouette speaks to Jon Krohn about his startup MaintainX and how he secured $100 million in venture capital. MaintainX manages and maintains computerized maintenance management systems (CMSs), or work-execution software, for the industrial and manufacturing industries. This “digitized version of a clipboard” with the help of web and mobile applications, provide a list of procedures, guidelines and regulations to help increase worker productivity and give a company the data-driven insights it needs to refine its processes. Listen to the episode to hear Hugo’s thoughts on the gaps in the manufacturing industry that technology can fill, the tech stack used by MaintainX, and the discrepancy of information in manufacturing environments.
Additional materials: www.superdatascience.com/922
Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
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921: NPUs vs GPUs vs CPUs for Local AI Workloads, with Dell’s Ish Shah and Shirish Gupta
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 AWS, by ODSC, the Open Data Science Conference and by Gurobi.
Additional materials: www.superdatascience.com/921
Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
In this episode you will learn:
(04:18) Why Windows still outranks other operating systems
(20:58) The difference between GPUs and NPUs
(32:44) How to access and use Dell’s NPUs and GPUs
(49:08) Using processing units on the cloud versus locally
(57:43) About the Dell Pro Max
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920: In Case You Missed It in August 2025
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 engineers to create robust, secure, and useful AI. Jon Krohn includes clips from his interviews with Akshay Agrawal (Episode 911), Julien Launay (Episode 913), Michelle Yi (Episode 915), and Kirill Eremenko (Episode 917).
Additional materials: www.superdatascience.com/920
Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
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919: Hopes and Fears of AGI, with All-Time Bestselling ML Author Aurélien Géron
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 Gurobi and by the Dell AI Factory with NVIDIA
Additional materials: www.superdatascience.com/919
Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
In this episode you will learn:
(02:04) Why Aurélien wrote Hands-On Machine Learning
(20:54) How Aurélien came to decide on material for the new edition
(28:53) Aurélien’s predictions for AGI
(51:21) How to support alignment research
(1:13:42) Does superintelligence mean super-capability
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918: Multi-Agent Systems with CrewAI
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 has achieved its goals for the first time, they can refine and tailor their approach to future goals.
Additional materials: www.superdatascience.com/918
Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.
About Super Data Science: ML & AI Podcast with Jon Krohn
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.
Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.
We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.
Listen to Super Data Science: ML & AI Podcast with Jon Krohn, More or Less: Behind the Stats and many other podcasts from around the world with the radio.net app
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