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© 2024 Super Data Science: ML & AI Podcast with Jon Krohn
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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.
963 Episodes
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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.
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
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.
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
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.
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
#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.
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
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.
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
“The Fit Data Scientist” newsletter author Pénélope Lafeuille talks to Jon Krohn about how to give your all at work, offering her top tips for a healthy body and a healthy mind. Learn why “The SuperDataScience Podcast” made it onto her top 3 data science podcasts, and why following your passion can pay off in dividends for your career.
Additional materials: www.superdatascience.com/952
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
VP of Engineering at Dropbox Josh Clemm speaks to Jon Krohn about consolidating search tools across apps with the AI-powered workspace, Dropbox Dash, the new collaborative AI systems that enhance interoperability between team members and their projects, and how to avoid “context rot”. Dropbox Dash gives users the best of Dropbox’s cloud storage and search functions, plus a “universal search” ability to locate information across multimedia and apps. “AI really needs to understand you and your team, first and foremost, and all that connected data,” says Josh.
This episode is brought to you by the Dell, by Intel, by Airia and by MongoDB.
Additional materials: www.superdatascience.com/951
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(01:07) All about Dropbox Dash
(10:00) The benefits of browser-embedded AI
(22:17) Why context engineering is so critical to agentic systems
(37:51) How creating apps helps tech leadership
(48:39) When to decide to use data versus intuition
In this special holiday episode, the SuperDataScience Podcast team comes together to wish you happy holidays and thank you for listening throughout the year. Team members from around the world share warm greetings in their own voices and languages as we reflect on another year of learning, curiosity, and community. From all of us at SDS, we wish you a joyful holiday season and look forward to bringing you more data science, machine learning, and AI content in the year ahead.
Additional materials: www.superdatascience.com/950
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
1Alex “Sandy” Pentland, Toshiba Professor of Media Arts & Science at MIT and Fellow at Stanford, speaks to Jon Krohn about his new book, Shared Wisdom, why he attributes AI to the collapse of the Soviet Union, and why those risks to society could still be relevant today. We can only achieve better system performance, Alex says, when we build tools that keep step with the way that people make decisions. Listen to the episode to hear Alex talk about how he is helping make AI agents work for individuals rather than the companies that develop them, and his work in making sure that systems operate consistently and fairly across the world.
This episode is brought to you by the Dell, by Intel, by Fabi, and by Airia.
Additional materials: www.superdatascience.com/949
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(02:19) About Alex Pentland’s new book, Shared Wisdom
(16:00) About loyalagents.org
(28:36) Why we need data unions
(34:02) The governance of AI
(41:24) How to measure the social impact of AI projects
In this November episode of “In Case You Missed It” series, Jon Krohn selects his favorite clips from the month. Hear from Shirish Gupta and Tyler Cox (Episode 939), Vikoy Pandey (Episode 941), Marc Dupuis (Episode 937), and Maya Ackerman (Episode 943) on getting back to human motivation and the importance of evaluating the tools and data we use.
Additional materials: www.superdatascience.com/948
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
Jeff Li tells Jon Krohn what it's like to work at scale as a data scientist and a machine learning engineer at Netflix, Spotify and DoorDash, as well as how to get a foot in the door at these companies. Jeff also discusses how to run forecasts and trends, and how to read their results. Listen to hear Jeff Li discuss how Spotify became a podcast powerhouse, his startup move.ai, and the tools he uses every day.
This episode is brought to you by the Dell, by Intel, by Fabi, and by Airia.
Additional materials: www.superdatascience.com/947
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(09:05) Forecasting in data science
(23:33) How to get a data science job at Netflix
(30:06) Jeff’s experience on launching an AI startup
(51:57) Jeff’s AI toolkit
Jon Krohn looks into the benefits of robotaxis, from safety to affordability, in this Five-Minute Friday. Hear about Waymo’s partnership with Jaguar Land Rover, the latest safety studies concerning driverless vehicles, and a case for robotaxis becoming the preferred method of transport in the US, where households spend roughly 15% of their budget on vehicle ownership.
Additional materials: www.superdatascience.com/946
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
Is there humor in data? Joel Beasley, host of Modern CTO, tells Jon Krohn how he used AI to turn his sights to stand-up comedy. He also shares his tips on tech leadership that he learned from his popular podcast, Modern CTO, and how he is using generative AI as a collaborative partner in his creative work.
This episode is brought to you by the Dell, by Intel, by Fabi, and by Gurobi.
Additional materials: www.superdatascience.com/945
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(02:14) Joel Beasley on his comedy career
(19:04) Applying the ‘memory palace’ technique
(22:28) About The Modern CTO Podcast
(36:24) Leadership advice from The Modern CTO
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 means for the way you use generative AI, in this week’s episode.
Additional materials: www.superdatascience.com/944
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
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 how to push the boundaries of creativity using generative AI.
This episode is brought to you by the Dell, by Intel, by Gurobi and by Airia.
Additional materials: www.superdatascience.com/943
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(05:20) Maya’s challenge to anthropocentrism
(19:26) How to compose music with AI
(28:13) How to invest in creative empowerment
(32:18) How to produce genuinely creative artworks through AI
(44:58) The future of GenAI
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First time listening podcast and definitely will be in my daily list
12:06 recap begins
professional 💖
thank you for this episode.
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I found this podcast really helpful for anyone who wants to better their knowledge of machine learning. I am especially interested in the data processing. If you want to deepen your knowledge of this topic, check this article https://techlogitic.net/categorization-and-data-labeling-for-supervised-machine-learning/. It has some pretty useful information and professional tips from experts in data annotation and tagging.
a really nice and quick overview with just the right amount of detail.
great thanks to you and your endeavors for this pod. I learnt a lot. welcome to Jon , wish you the best 👏👍
😢
you are the best
nice summarisation, Data Analyts looks at the past and data scientist looks at past and future
Great talk, very inspiring. thanks.
Sleeps 3 hrs a day, not a good example for healthy person. sleep well and keep the brain more refreshed and healthy. #health
a lot of extra, unrelated stuff. Dude I appreciate your effort but you need to be specific and respect audiences' time.
Eu não conhecia Gabriela de Queiroz mas agora ouvindo esse podcast (já ouvi umas 5x) estou completamente encantada. Muito legal descobrir esse nível de profissional pelo mundo e ainda saber que trata-se de uma brasileira.
Great job!👍 It's so interesting to listen your podcasts! thanks for sharing your knowledge and helping people to get into data business 🙌👍
Hi thanks for doing this podcast. Being a data engineer and who commutes a lot, I gain a lot from your podcasts. One suggestion that I would like to give is, it would be better if you do not interrupt the speaker until they complete their flow.
What amazing episode! Adrian rocks!! Congratulations!