
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 conversa... more
| Publishes | Twice weekly | Episodes | 1044 | Founded | 10 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScience | |||

In Episode #1043, Dr. Guru Banavar (Founding CTO of Viome) joins Jon Krohn for a technical masterclass on the biology inside your gut. Viome has assembled what Guru calls the largest dataset on human biology ever collected, roughly 100 quadrillion nu... more
#Sponsored, SVP, Head of Product, AgentExchange and Partner Experience, Tyler Carlson, returns to talk to Jon Krohn about building for an agent-native app store. Since Tyler’s last appearance in Episode 956, Salesforce has gone headless, opening its ... more
In Episode #1041, Dr. Vijoy Pandey (SVP and General Manager of Outshift, Cisco's incubation engine) returns for a third visit to explain why multi-agent systems fail without anyone noticing. Agents from different vendors, clouds and organisations can... more
In Episode #1040, Amy Blackshaw (SVP at Palo Alto Networks) joins Jon Krohn to explain what changes about cybersecurity when attackers can think for free. Nearly every breach, Amy argues, comes down to someone getting hold of an identity they should ... more
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Love the work you do on this podcast! Returning to this community after years and super happy to see how much it has grown!
Jon Krohn is great!!!
I have been listening to this podcast for over a year, and it is one of my favorite podcasts: informative, guests with r/l expertise and varied backgrounds, leading edge developments, and the host approaches topics both with curiosity, knowledge, and academic objectivity. I would recommend to anyone who wants to learn more about AI-and who doesn’t?
Been listening to this podcast for a year or so..not an engineer..but I learn SO much!
One of the few data science podcasts I listen to not just for work.
Jon brings a rare mix of technical depth, curiosity, openness, and humility. In a field that often feels too focused on hype and money, this podcast feels different.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
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The show centers on practical, hands-on discussions at the intersection of data science, AI, and real-world applications. Episodes frequently explore how to deploy models responsibly, optimize data workflows, and translate technical insights into business impact. Guests range from hands-on practitioners to thought leaders, covering technical depth, career development, governance, and AI strategy. A recurring strength is translating complex concepts into actionable guidance, with clear emphasis on ROI, product impact, and ethical considerations. The format often features concrete case studies, tooling discussions, and career advice, making it valuable for practitioners, engineers, and data leaders looking to stay current without losing sight... more
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These podcasts share a similar audience with Super Data Science: ML & AI Podcast:
1. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
2. Practical AI
3. DataFramed
4. Last Week in AI
5. Latent Space: The AI Engineer Podcast
Super Data Science: ML & AI Podcast launched 10 years ago and published 1044 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on Super Data Science: ML & AI Podcast include:
1. Amy Blackshaw
2. John Renne
3. Richard Socher
4. Carly Taylor
5. Ish Shah
6. Aishwarya Srinivasan
7. Luis Serrano
8. Katie Malone
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