Super Data Science: ML & AI Podcast with Jon Krohn
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.
Episodes
Mentioned books
Jan 30, 2026 • 12min
962: Wharton Prof Ethan Mollick on Why Your AI Strategy Is Already Obsolete
Bestselling author of Co-Intelligence: Living and Working with AI Ethan Mollick speaks to Jon Krohn about just how much US firms have to gain from a willingness to adopt and experiment with AI, as well as the reality behind AI use among employees and the frontier models set to support them even further.
Additional materials: www.superdatascience.com/962
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
Jan 27, 2026 • 1h 9min
961: Distributed Artificial Superintelligence, with Dr. Vijoy Pandey
Dr. Vijoy Pandey returns to the show to talk to Jon Krohn about Cisco’s work to advance medicine and mitigate the impact of climate change with distributed artificial super-intelligence. Dr. Vijoy Pandey believes in a future where humans and AI agents work together to tackle our biggest challenges. For this to happen, we will need to have multi-agent systems and open-source platforms that let agents work together, avoiding the phenomenon of AI agents being “isolated geniuses” unable to collaborate. He elaborates on what Cisco is doing to close this gap.
This episode is brought to you by the Dell, by Intel, by Fabi and by Scaylor.
Additional materials: www.superdatascience.com/961
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(03:55) A definition of artificial super-intelligence
(14:03) Distributed learning through Cisco’s Outshift
(21:29) The semantic protocols for sharing intent in a distributed artificial super-intelligence framework
(37:44) The cognitive memory fabric of the distributed artificial super-intelligence framework
(46:24) Using cognitive engines as part of the distributed artificial super-intelligence framework
Jan 23, 2026 • 41min
960: In Case You Missed It in December 2025
For 2026’s first episode of In Case You Missed It (ICYMI), Jon Krohn selects 6 clips from December for a wide-ranging look at the current state of AI in business and beyond. Hear from Joel Beasley (Episode 945), Jeff Li (Episode 947), Sandy Pentland (Episode 949), Josh Clemm (Episode 951), Penelope LaFeuille (Episode 952), and John Roese (Episode 953) on ensuring your AI systems get adopted and succeed in their goals, interesting ways to use AI for standup comedy routines, and more.
Additional materials: www.superdatascience.com/960
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
Jan 20, 2026 • 1h 5min
959: Building Agents 101: Design Patterns, Evals and Optimization (with Sinan Ozdemir)
AI entrepreneur and bestselling author Sinan Ozdemir speaks to Jon Krohn about the practical differences between agentic AI and AI workflows, why evaluating accuracy on its own won’t tell you enough about AI models, and more about his latest book Building Agentic AI.
This episode is brought to you by the Dell, by Intel, by Fabi and by Cisco.
Additional materials: www.superdatascience.com/959
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(04:57) Exploring the differences between workflows and agents
(17:03) How to work out parameter count for a given task
(25:26) The best way to evaluate LLMs
(33:12) How to run hybrid workflow + agentic projects effectively
Jan 16, 2026 • 24min
958: Without Trusted Context, Agents are Stupid (featuring Salesforce’s Rahul Auradkar)
In this #sponsored Feature Friday episode, Salesforce’s Rahul Auradkar speaks to Jon Krohn about the company’s unified data engine and how its acquisition of Informatica provides the missing context layer for AI models and agents. Hear how Salesforce’s Data 360 helps customers to get accurate and insightful information about their business, and what AI models need to benefit a company’s bottom line (hint: it’s not only large amounts of data!)
Additional materials: www.superdatascience.com/958
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
Jan 13, 2026 • 60min
957: How AI Agents Are Automating Enterprise Data Operations, with Ashwin Rajeeva
AI agents, data lakes, and managing data sprawl: Ashwin Rajeeva, cofounder and CTO of Acceldata, speaks to Jon Krohn about how the agentic data management startup raised over $100 million in venture capital to expand its business in automating data quality assurance as well as cataloguing and pipeline maintenance across enterprise environments. Acceldata utilizes multiple agents to solve enterprise-grade questions with company data. It also uses autonomous data pipelines that can detect and fix issues without human intervention, and the platform’s agentic data management system ADM also lets humans stay in the loop wherever needed.
This episode is brought to you by the Dell, by Intel, by Fabi and by Cisco.
Additional materials: www.superdatascience.com/957
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(03:25) About Acceldata and xLake
(15:03) Autonomous data pipelines
(21:02) How and when to keep humans in the AI loop
(27:43) How Acceldata solves ‘data sprawl’
(31:53) Habits of successful tech leaders
Jan 9, 2026 • 26min
956: From Agent Demo to Enterprise Product (with Ease!) feat. Salesforce’s Tyler Carlson
#Sponsored SVP, Head of Product for Salesforce’s AppExchange & Ecosystem, Tyler Carlson, talks to Jon Krohn about taking AI agents from prototype to enterprise-grade production with the Agentforce 360 Platform. Though we may now have plenty of tools to build demos for AI agents, most teams still struggle to turn early prototypes into secure and scalable products. With Salesforce’s Agentforce 360 Platform, users can build customer-focused agentic applications with a multi-LLM planner service for reasoning and logic, as well as a new scripting language for deterministic control over how agents interact with the contextual layer of the Salesforce data model. Learn how Salesforce’s WYSIWYG schema builder helps customers build fully functional applications with low- and pro-code capabilities, the common mistakes that innovators make when moving from prototype to production, and whether AI agents might replace non-agentic AI applications in this Feature Friday.
Additional materials: www.superdatascience.com/956
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
Jan 6, 2026 • 1h 9min
955: Nested Learning, Spatial Intelligence and the AI Trends of 2026, with Sadie St. Lawrence
Sadie St Lawrence joins Jon Krohn to discuss what to expect from the AI industry in 2026. Sadie and Jon talk through what they think will be the five biggest trends in AI, hand out awards for the best moments, comebacks, and disappointments in AI in 2025, and review how their predictions for 2025 played out. Hear Sadie’s five exciting predictions for 2026, from emerging jobs in AI to an important return to the drawing board!
This episode is brought to you by the Dell, by Intel, by Fabi and by MongoDB.
Additional materials: www.superdatascience.com/955
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(11:36) Recapping Sadie and Jon’s predictions for 2025
(26:54) The SuperDataScience Awards in AI
(49:05) Prediction #1 for AI in 2026
(52:13) Prediction #2 for AI in 2026
(53:33) Prediction #3 for AI in 2026
(57:54) Prediction #4 for AI in 2026
(1:01:01) Prediction #5 for AI in 2026
Jan 2, 2026 • 4min
954: Recap of 2025 and Wishing You a Wonderful 2026
Jon Krohn wraps up 2025 with his thoughts on how agentic AI has become as much a resounding success as an annoying buzzword for many in the tech industry, why such promising developments in generative AI mean that well-prepared, secured data will be ever more crucial, and Jon’s hopes for a better year for everyone across the world in 2026.
Additional materials: www.superdatascience.com/954
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
Dec 30, 2025 • 51min
953: Beyond “Agent Washing”: AI Systems That Actually Deliver ROI, with Dell’s Global CTO John Roese
Dell Technologies’ John Roese talks to Jon Krohn about the phenomenon of “agent-washing”, his contribution to Dell’s incredible revenue boost in 2025, and why “knowledge layers” will be crucial to future tech. Hear also John’s predictions for where AI is going to lead us in 2026, from better, clearer governance, data management methods and definitions for agentic AI, to systems that keep AI tools and our data running and secure with the help of “AI factories” and “sovereign AI”.
This episode is brought to you by MongoDB and by Y Carrot.
Additional materials: www.superdatascience.com/953
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(01:31) John Roese’s predictions for AI in 2026
(11:28) How John increased ROI at Dell Technologies
(18:59) John’s predictions for AI in 2026
(40:13) How Dell’s clients are using AI factories
