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Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
Data Science
Artificial Intelligence
Machine Learning
Generative AI
Agentic AI
Large Language Models
Data Analytics
Openai
AI Agents
Job Applications
Quantum Computing
AWS
Automation
Natural Language Processing
Anthropic
Cloud Computing
Foundation Models
Education
Leadership
Python

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

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Artwork for Super Data Science: ML & AI Podcast

Latest Episodes

In Episode #1037, Dr. Richard Socher (CEO and Co-Founder of Recursive) joins Jon Krohn to make the case for automating the scientific method itself. Richard’s startup came out of stealth this year with over half a billion dollars raised to build recu... more

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In Episode #1036, Jon Krohn digs into the question parents and teachers keep asking: does AI stop children from learning? Drawing on a wave of new studies, he shows the answer turns entirely on how AI is used, as a shortcut that outsources the thinki... more

In Episode #1035, Carly Taylor (Founder of Rebel Data Science) returns to join Jon Krohn for a wide-ranging conversation about leading engineering teams when the ground keeps moving. Carly shipped nine Call of Duty titles in roughly five years at Act... more

YouTube

In ICYMI Episode #1034, Jon Krohn moves from what sits underneath AI systems to what it takes to live with them every day. Hear from Aishwarya Srinivasan, Luis Serrano, Katie Malone, Ish Shah and Dilani Kahawala, discussing why the bottleneck in ship... more

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Recent Guests

Kate Niederhoffer
Chief Scientist at BetterUp
BetterUp
Episode: 1033: Workslop: The Hidden Cost of AI-Generated Work, with Prof. Jeff Hancock and Dr. Kate Niederhoffer
Jeff Hancock
Professor of Communication at Stanford and founding director of the Stanford Social Media Lab
Stanford University
Episode: 1033: Workslop: The Hidden Cost of AI-Generated Work, with Prof. Jeff Hancock and Dr. Kate Niederhoffer
Michael Andrew
Chief Data Officer at Salesforce
Salesforce
Episode: 1032: Agents Need 10x More Data Than Humans, with Salesforce’s CDO Michael Andrew
Ish Shah
Distinguished engineer in the office of the CTO, Dell Technologies
Dell Technologies
Episode: 1031: Tokenomics: Why Your Agentic AI Bill Is Exploding (and How to Fix It), with Tyler Cox and Ish Shah
Tyler Cox
Distinguished engineer in the office of the CTO, Dell Technologies
Dell Technologies
Episode: 1031: Tokenomics: Why Your Agentic AI Bill Is Exploding (and How to Fix It), with Tyler Cox and Ish Shah
Gaurav Pathak
SVP of Product Management at Salesforce
Salesforce
Episode: 1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav Pathak
Katie Malone
Host of Linear Digressions, data science podcaster and engineer
Linear Digressions
Episode: 1029: How AI Brought a Podcast Back From the Dead, with Linear Digressions’ Katie Malone
Anton McGonnell
VP of Product at SambaNova
SambaNova
Episode: 1028: The Chip Built for Agentic AI Inference, with SambaNova's Anton McGonnell
Dilani Kahawala
Co-founder and CEO of Anna, an always-on AI assistant for busy parents
Hianna.ai (Anna)
Episode: 1027: Building an Always-On AI Agent for Busy Parents, with Dr. Dilani Kahawala

Host

Jon Krohn
Host of the data science and AI-focused show with a track record of engaging guests and practical storytelling.

Reviews

4.7 out of 5 stars from 880 ratings
  • Great Podcast!

    Love the work you do on this podcast! Returning to this community after years and super happy to see how much it has grown!

    Apple Podcasts
    5
    user21309
    United States2 months ago
  • I’m a huge fan of the super data science podcast!

    Jon Krohn is great!!!

    Apple Podcasts
    5
    Ronan186
    United States2 months ago
  • Best AI podcast

    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?

    Apple Podcasts
    5
    sekurGrl
    United States2 months ago
  • My go-to favorite

    Been listening to this podcast for a year or so..not an engineer..but I learn SO much!

    Apple Podcasts
    5
    CivilServiceIT
    United States3 months ago
  • One of the few I listen to by choice

    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.

    Apple Podcasts
    5
    Guilhermesfc
    Denmark3 months ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Shows deep technical depth with practical takeaways.
Guests consistently bring actionable insights for real-world AI deployments.
Hosts balance rigor with accessible storytelling and human context.
Audience values high-quality discussions and thoughtful critique of AI hype.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#192
United States/Technology
Apple Podcasts
#121
United Kingdom/Technology
Apple Podcasts
#232
Canada/Technology
Apple Podcasts
#103
France/Technology
Apple Podcasts
#104
Australia/Technology
Apple Podcasts
#48
Finland/Technology

Talking Points

Recent interactions between the hosts and their guests.

1031: Tokenomics: Why Your Agentic AI Bill Is Exploding (and How to Fix It), with Tyler Cox and Ish Shah
Q: What is the burrito curve and how does it guide model selection?
The burrito curve is a framework for balancing trade-offs between speed and intelligence so you pick a model and platform that meet the required performance for a given use case, ensuring you don't pay for more than you need while still achieving the desired results.
1027: Building an Always-On AI Agent for Busy Parents, with Dr. Dilani Kahawala
Q: What is Anna and how does it work for busy parents?
Anna is a personal assistant that connects to email, calendars, school apps, and messaging to manage information overload and logistics, proactively updating schedules and handling tasks through text, WhatsApp, or voice.
1023: Agentic AI Skills That Matter Now, with Aishwarya Srinivasan
Q: What's one thing startups consistently get right about AI adoption that enterprises consistently get wrong?
Startups move fast and are open to testing early, embracing experimentation and learning from what breaks, whereas large enterprises suffer from red tape and slower lead times, which hampers agility.
1019: Anyone Can Write Code Now, So What Gets You Hired? (With Priyanka Vergadia)
Q: Could you tell us about the 10-20-70 framework?
The framework allocates 10% to tools, 20% to execution with those tools, and 70% to education and upskilling to build long-term adoption and productivity, especially in large enterprises where ROI on tool purchases alone is often insufficient.
1017: Vector Search, Agentic Memory and Effective RAG, with MongoDB’s Pete Johnson
Q: Why is vector search considered the new frontier for enterprise AI?
Because it enables injecting proprietary content into LLM workflows without retraining, supports live data calls, and improves retrieval quality for RAG pipelines, which is essential for reliable, scalable AI in real-world business contexts.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Super Data Science: ML & AI Podcast

What is Super Data Science: ML & AI Podcast about and what kind of topics does it cover?

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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1. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
2. Practical AI
3. Last Week in AI
4. DataFramed
5. The AI Daily Brief: Artificial Intelligence News and Analysis

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Super Data Science: ML & AI Podcast launched 10 years ago and published 1038 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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What guests have appeared on Super Data Science: ML & AI Podcast?

Recent guests on Super Data Science: ML & AI Podcast include:

1. Kate Niederhoffer
2. Jeff Hancock
3. Michael Andrew
4. Ish Shah
5. Tyler Cox
6. Gaurav Pathak
7. Katie Malone
8. Anton McGonnell

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