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In this episode of “In Case You Missed It”, Jon Krohn takes clips from interviews with guests in May 2025. From AI agent integration and RAG-based chatbots to education through virtual reality headsets and data harmonization, this episode explores how industry leaders are developing the tools and technologies that can improve operations, education, healthcare, and marketing. Highlight clips are with John Roese, Global Chief Technology Officer and Chief AI Officer at Dell Technologies (Episode 887), Senior Developer Relations Engineer at Posit, PBC Jeroen Janssens and Lead Data Scientist at Xomnia Thijs Nieuwdorp (Episode 885), Founder of CEEK Mary Spio (Episode 889), and Martin Brunthaler, Co-founder and Chief Technology Officer at Adverity (Episode 891).  Additional materials: ⁠⁠www.superdatascience.com/894⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Avery Smith is a ionate and motivational YouTuber and careers educator for data science. In this episode, Jon Krohn asks Avery about the tools and tricks he has learned from personal experience and from his students in how to get ahead in the tech industry. Avery shares the “learning ladder” he uses to help newcomers start on the right foot with great examples from former bootcamp students who have put his theories into practice. And, if you’re using LinkedIn to find jobs, Avery explains why this might be one of the reasons you’re not getting work. Additional materials: ⁠www.superdatascience.com/893 This episode is brought to you by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (04:02) How to take the jump into a data science career (15:19) Avery’s recommended strategy for starting a career in data science (18:10) Recommendations for people learning data science with LLMs (32:52) What should go into a data science portfolio  (46:07) Why Avery prefers practice over theory in teaching data science  (48:25) The bare minimum to get your first job in data science

Businesses have entered a “trough of disillusionment” for AI. In this Five-Minute Friday, Jon Krohn learns why Fortune 500 execs are so frustrated with the tools and how they can work their way up the “slope of enlightenment” towards effective AI. Hear why AI takeup hasn’t so far gone to plan in the corporate world and what that world needs from AI to encourage greater business engagement.  Additional materials: ⁠⁠⁠www.superdatascience.com/892⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Martin Brunthaler talks to Jon Krohn about founding Adverity, a data analytics platform for marketing that simplifies integrating data from multiple sources and crunching them into actionable insights. Learn how Adverity became a data analytics powerhouse serving multiple industries, and why Martin thinks AI will strengthen rather than diminish the job market for data scientists, data analysts, and machine learning engineers.   Additional materials: www.superdatascience.com/891 Today’s episode is brought to you by Trainium2, the latest AI chip from AWS and by the Dell AI Factory with NVIDIA Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (03:52) How Martin co-founded Adverity (14:26) The features of Adverity (39:24) If data analysts, data scientists, and ML engineers should worry about Adverity making their job redundant (48:29) Martin’s predictions for the future for data analysts and data scientists (51:39) Martin’s tips for success as a CTO

In this week’s Five-Minute Friday, Jon Krohn reveals highlights from Stanford University’s AI Index Report. Released a few weeks ago by the Institute for Human-Centered AI, this annual report details the incredible technical advances, policies, and investments in artificial intelligence. Hear which models achieve the best performance relative to their size, in what scenarios top AI systems can outperform humans (and when humans still outperform AI), and more in Jon’s five key takeaways. Additional materials: ⁠⁠www.superdatascience.com/890⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Founder of CEEK’s Mary Spio talks to Jon Krohn about how the platform contributes to the emerging community of digital creators with its blockchain-powered virtual experiences. Hear how Mary got her first investors for CEEK and how it is used across industries as diverse as education, entertainment, aviation, and healthcare. Additional materials: ⁠⁠⁠www.superdatascience.com/889⁠ This episode is brought to you by ⁠⁠Adverity, the conversational analytics platform⁠⁠ and by the ⁠⁠Dell AI Factory with NVIDIA⁠⁠. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (03:42) What CEEK is and the multiple industries it serves (38:47) How Mary developed VR headsets to reduce nausea experienced by women headset s (42:10) The growing potential for immersive experiences (44:36) How to mitigate the risks of immersive-experience misuse (51:56) Mary’s tips for career success

Mike Pell speaks to Jon Krohn about The Microsoft Garage, a program that drives the culture of innovation at the tech multinational, and how listeners can apply their principles to foster innovation in their workplace. In this Five-Minute Friday, you’ll hear more about Microsoft’s approaches to agentic AI, the future of human-AI collaboration in the workplace, and why experimentation and curiosity are critical skills for the future of work. Additional materials: ⁠www.superdatascience.com/888⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Jon Krohn speaks to John Roese about the promise of multi-agent teams for business, the benefits of agentic AI systems that can identify and complete tasks independently, and how these systems demand new authentication, authorization, security and knowledge-sharing standards. They also discuss how to use AI to refine project ideas down to a core business need, as well as the new and emerging careers in the tech industry and beyond, all thanks to AI. Additional materials: ⁠⁠www.superdatascience.com/887 This episode is brought to you by ⁠Adverity, the conversational analytics platform⁠ and by the ⁠Dell AI Factory with NVIDIA⁠. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (03:54) Why ROI is the most important aspect of an AI-driven project  (14:06) Why high-impact AI projects trigger a flywheel of success (23:32) The future of agentic systems  (30:28) How to manage agentic systems at scale (46:36) The disruptive nature of quantum computing

Our In Case You Missed It episode for April has clips on NVIDIA’s and Dell’s product and service offers including an overview of NVIDIA’s GPUs, AI Enterprise, and its microservices. You’ll also hear about AWS’ focus on bringing choice to customers and the incredible power of its Graviton U, how Zerve opens access to AI deployment, Merck KGaA, Darmstadt, ’s multi-chip integration, and why reliance on the cloud might soon become a practice of times past. Additional materials: ⁠www.superdatascience.com/886⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Jeroen Janssens and Thijs Nieuwdorp are data frame library Polars’ greatest advocates in this episode with Jon Krohn, where they discuss their book, Python Polars: The Definitive Guide, best practice for using Polars, why Pandas s are switching to Polars for data frame operations in Python, and how the library reduces memory usage and compute time up to 10x more than Pandas. Listen to the episode to be a part of an O’Reilly giveaway! Additional materials: ⁠www.superdatascience.com/885 This episode is brought to you by Trainium2, the latest AI chip from AWS, by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (07:44) Why Jeroen and Thijs wrote Python Polars: The Definitive Guide   (21:54) Best practices in Polars  (25:55) Why Polars has so many s (34:32) The benefits of the Great Tables package (51:06) Jeroen and Thijs’ partnership with NVIDIA and Dell for Python Polars: The Definitive Guide

Model Context Protocol (M) is Anthropic’s hottest tool, with over 1,000 community-built M servers in operation by February alone. In this Five-Minute Friday, Jon Krohn explains what took so long for s to catch on: Anthropic released M in November 2024. Hear more about the buzz behind M, its applications, and how easy it is to get started. Additional materials: ⁠www.superdatascience.com/884⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Returning after the “Super Bowl of AI”, NVIDIA GTC, Sama Bali and Logan Lawler talk to Jon Krohn about their respective work at tech giants NVIDIA and Dell. Sama and Logan discuss the next-gen Blackwell GPUs to their collaboration with Dell in launching Pro-Max PCs specially designed to take on heavy computational workloads as well as the incredible performance of GB 10 and GB 300 workstations, and the widening accessibility of AI developer tools and models.  Additional materials: www.superdatascience.com/883 This episode is brought to you by ODSC, the Open Data Science Conference, by Adverity, the conversational analytics platform and by the Dell AI Factory with NVIDIA. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (07:29) About Dell’s Pro Max PCs (14:01) Why having a Blackwell GPU from Nvidia is a great option for those new to training and deploying AI models   (36:47) When it makes sense for a data scientist to switch from a Unix to a Windows based system  (46:33) Logan’s and Sama’s predictions for AI

This week’s five-minute Friday heads to the Netherlands to find out more about Dutch company ASML, the brains behind the lithography machines that build AI chips.  Jon Krohn walks through how ASML came to dominate the market, where they’re headed next, and how ASML’s complex machines shape AI chips as well as the very future of AI.   Additional materials: www.superdatascience.com/882 Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Emily Webber speaks to Jon Krohn about her work at Amazon Web Services, from its Annapurna Labs-developed Nitro System, a foundational technology that can enhance securities and performance in the cloud and how Trainium2 became AWS’ most powerful AI chip with four times the compute of Trainium. Hear the specs of AWS’s chips and when to use them. Additional materials: www.superdatascience.com/881 This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (08:36) Emily’s work on AWS’ SageMaker and Trainium  (23:54) How AWS Neuron lets builders tailor their approach to using frameworks  (29:07) Why using an accelerator is better than using a GPU  (35:29) The key differences between AWS Trainium and AWS Trainium2  (52:45) How to select between AWS Trainium and AWS Trainium2

First developed in China, Manus AI and DeepSeek have made great waves on an international scale. Sought-after for their cost-effectiveness compared to US-made tech, Manus AI and DeepSeek are quickly becoming dominant technologies inside the country. In this five-minute Friday, Jon Krohn asks: Do these technologies warrant the huge amount of resources spent on them by multiple industries in China, and what makes hype become a mainstay? Additional materials: www.superdatascience.com/880 Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Greg Michaelson speaks to Jon Krohn about the latest developments at Zerve, an operating system for developing and delivering data and AI products, including a revolutionary feature allowing s to run multiple parts of a program’s code at once and without extra costs. You’ll also hear why LLMs might spell trouble for SaaS companies, Greg’s ‘good-cop, bad-cop’ routine that improves LLM responses, and how RAG (retrieval-augmented generation) can be deployed to create even more powerful AI applications. Additional materials: www.superdatascience.com/879 This episode is brought to you by Trainium2, the latest AI chip from AWS and by the Dell AI Factory with NVIDIA. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (04:00) Zerve’s latest features (35:26) How Zerve’s built-in API builder and GPU manager lowers barriers to entry (40:54) How to get started with Zerve (41:49) Will LLMs make SaaS companies redundant? (52:29) How to create fairer and more transparent AI systems (56:07) The future of software developer workflows

AI stacks, AGI, training neural networks, and AI authenticity: Jon Krohn rounds up his interviews from March with this episode of “In Case You Missed It”. In his favorite clips from the month, he speaks to Andriy Burkov (Episode 867), Natalie Monbiot (Episode 873), Richmond Alake (Episode 871) and Varun Godbole (Episode 869). Additional materials: www.superdatascience.com/878 Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

NPUs, AIPC, and Dell’s growing suite of AI products: Shirish Gupta speaks to Jon Krohn about neural processing units and what makes them a go-to tool for AI inference workloads, reasons to move your workloads from the cloud and to your local devices, what the mnemonic AIPC stands for and why it will soon be on everyone’s lips, and he offers a special intro to Dell’s new Pro-AI Studio Toolkit. Hear about several real-world AIPC applications run by Dell’s clients, from detecting manufacturing defects to improving efficiencies for first responders, massively ing actual life-or-death situations.  Additional materials: www.superdatascience.com/877 This episode is brought to you by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (03:28) What neural processing units (NPUs) are (23:53) About Dell Pro AI Studio  (35:03) Use cases for Dell Pro AI Studio (45:16) How AI development workflows and applications will change  (49:01) About Dell’s AI factory ecosystem

Small, simple, accessible: Hugging Face makes a huge contribution to the agentic AI wave with its smolagents. Jon Krohn explores how this small-but-mighty new Python library can act as the best personal assistant you never had. Hear about its features and use cases in this five-minute Friday. Additional materials: www.superdatascience.com/876 Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Why are semiconductors so essential in this digital age, and how are they made? Jon Krohn speaks to electronics CEO Kai Beckmann about Merck KGaA, Darmstadt, ’s intricate manufacturing process, how we can use AI to develop materials that power next-gen AI technologies, and how a chip with the processing power of the human brain might one day be able to run on the power of a low-watt light bulb. Additional materials: www.superdatascience.com/875 This episode is brought to you by the Dell AI Factory with NVIDIA. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information. In this episode you will learn: (06:26) How Merck KGaA, Darmstadt, s groundbreaking developments in AI  (13:42) Material science’s biggest challenges for AI  (29:55) What heterogeneous integration is (34:37) How optical tech influences the electronics industry  (49:04) Navigating upturns and downturns in the semiconductor industry  (53:08) How AI regulations benefit humanity