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Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
Data Science
Machine Learning
Artificial Intelligence
Generative AI
Large Language Models
Openai
Data Analytics
Artificial General Intelligence
AI Agents
Agentic AI
AWS
Natural Language Processing
Job Applications
Quantum Computing
Cloud Computing
Polars
NVIDIA
Deep Learning
Mathematical Optimization
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

PublishesTwice weeklyEpisodes992Founded10 years ago
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Artwork for Super Data Science: ML & AI Podcast

Latest Episodes

Dr. Trevor Manz of Marimo talks to Jon Krohn about Marimo Pair, an open-source agent skill that teaches coding agents like Claude Code how to drive a reactive Python notebook, reading cell state, running Python in the kernel, taking screenshots of ce... more

Anthropic has built a frontier AI model so capable at finding software vulnerabilities that it has decided not to release it to the general public. In this Five-Minute Friday, Jon Krohn breaks down Claude Mythos Preview, a general-purpose model whose... more

Rubrik’s Anneka Gupta and Cal Al-Dhubaib speak to Jon Krohn about cybersecurity measures, the risks AI in business might pose for malicious attacks, and why AI should be kept “boring.” Find out how Rubrik safeguards client data, what zero trust is in... more

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In this month’s episode of In Case You Missed It, Jon Krohn talks to guests about memory and education, and how artificial intelligence is continuing to help lower the barriers to access. Hear from Matt Glickman, Traci Walker-Griffith, Richmond Alake... more

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Recent Guests

Trevor Manz
Guest, founder/lead at Marimo
Marimo
Episode: 991: Pair Programming with AI in Your Python Notebook, with Dr. Trevor Manz
Anneka Gupta
Chief Product Officer at Rubrik
Rubrik
Episode: 989: Security for Mythos-Era Agentic Risks, with Rubrik’s Anneka Gupta and Cal Al-Dhubaib
Richmond Olake
Director of AI Developer Experience at Oracle
Oracle
Episode: 988: In Case You Missed It in April 2026
Linda Haviv
Former Staff Developer Advocate at AnyScale; open source advocate and educator in AI infrastructure
AnyScale (former); Independent educator and consultant
Episode: 987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Haviv
Kishore Subramanian
CTO of Propel Software
Propel Software
Episode: 986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian
Raju Malhotra
Chief Product and Technology Officer at Certinia
Certinia
Episode: 984: Building AI Agents Where 99.9% Accuracy Isn't Good Enough, with Raju Malhotra
Traci Walker Griffith
Principal of Eliot School, Boston
Eliot School, Boston Public Schools
Episode: 983: AI in the Classroom: How a Top Elementary School Is Doing It Right, with Principal Traci Walker Griffith
Lin Qiu
CEO of Fireworks AI
Fireworks AI
Episode: 982: In Case You Missed It in March 2026
Matt Glickman
Former Goldman Sachs data platform lead, Snowflake executive, founder of Genesis Computing
Genesis Computing / Snowflake / Goldman Sachs
Episode: 981: How Data Engineers Are “10x’ing” Themselves With Agents, feat. Matt Glickman

Host

Jon Krohn
Host of the show

Reviews

4.7 out of 5 stars from 854 ratings
  • The only AI podcast you need

    You know how we all have that one podcast that we go to when we need consistently valuable information but don’t have a lot of time? For me, it’s the Super Data Science ML & AI Podcast. Hands down, my go to source for keeping a pulse on what matters. The content is always timely and speaks grounded truth for practitioners. I’ve learned more from this podcast than any other source available. Times I’ve regretted listening with my free time: 0 - Thank you!

    Apple Podcasts
    5
    Thelizzzzw
    United States2 months ago
  • High Quality AI, High Quality Human

    One of the most high-quality and practical AI podcasts out there. This show creates space for both deep, technical, thoughtful discussion as well as genuine human moments, like navigating ambition, burnout, and the personal realities of being a go-getter in this space.

    I’ve been listening for the past two years and consistently walk away learning something new and feeling inspired. It’s clear how much care goes into making this a valuable resource for anyone thinking seriously about AI and its... more

    Apple Podcasts
    5
    Hadassah02
    United States3 months ago
  • Links pls

    Love the show so much!

    I do wish the episode links worked from Apple Podcasts.

    Apple Podcasts
    5
    jorygonian
    United States4 months ago
  • Awesome podcast

    I have been following the Super Data Science Podcast ever since the early days with Kirill Eremenko, all the way through to Jon Krohn. When I was a student, it helped me a lot to understand and make decisions about my career path.

    Thanks to all the team for bringing us this podcast.

    Apple Podcasts
    5
    TheBecaye
    Canadaa year ago
  • SDSpodcast makes for great conversation

    Thank you for your making data science accessible to everyone. Whenever I meet a data scientist in the DC area, I always make sure to mention your podcast.

    Apple Podcasts
    5
    Dark Horse Lover
    United Statesa year ago

Listeners Say

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

Listeners praise the show for deep, technical AI discussions that stay practical and human-centered.
Many comment on the quality of guests and the host's ability to extract actionable insights.
Audience finds the content consistently valuable for staying up to date in AI, ML, and data science.

Chart Rankings

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

Apple Podcasts
#149
United States/Technology
Apple Podcasts
#128
Canada/Technology
Apple Podcasts
#168
United Kingdom/Technology
Apple Podcasts
#39
Russia/Technology
Apple Podcasts
#46
South Korea/Technology
Apple Podcasts
#49
Finland/Technology

Talking Points

Recent interactions between the hosts and their guests.

991: Pair Programming with AI in Your Python Notebook, with Dr. Trevor Manz
Q: How do you see the future of agentic workflows with notebooks and tools like Marimo Pair?
The future involves agents that can participate in collaborative loops with humans, leveraging memory representations inside notebooks and the file system to handle complex tasks with less prompting, more self-correction, and richer context sharing across tools.
991: Pair Programming with AI in Your Python Notebook, with Dr. Trevor Manz
Q: Tell us about Marimo Pair and what it enables for agents in notebooks.
Marimo Pair is an agent skill that teaches coding agents to treat notebooks as a tool, extending agent capabilities to read, write, and interact with the notebook's state and Python environment to accomplish data tasks more autonomously.
985: The Four Types of Memory Every AI Agent Needs, with Richmond Alake
Q: What is agent memory and why should developers care?
Agent memory is the system that allows AI agents to learn, adapt, and retain context over time by integrating embeddings, databases, and LLMs. Developers should care because memory enables continuity, reduces misperformance, and adds real value in production by keeping agents contextually aware across sessions.
986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian
Q: What practical steps should teams take to move AI projects from pilots to production, especially for agent-based solutions?
Approach AI projects in two buckets: generative and agentic. Start by mapping a task to how a human would approach it, determine the data and tools needed, and prioritize security from the design phase. Build foundational components first, use prototyping to validate concepts, and prepare for substantial customization during deployment with forward-deployed engineers to tailor solutions per customer.
986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian
Q: Why did Propel build on Agentforce 360, and how does that choice impact security and governance for customer data?
Agentforce 360 provides the underlying data model, security governance, and a robust reasoning engine, which accelerates development and ensures a secure environment for sensitive product information. This allows Propel to ship quickly while maintaining control over IP and compliance.

Audience Metrics

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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?

A data science and AI-focused show that blends technical depth with practical implications for industry. Episodes frequently explore AI tooling, autonomous agents, production-ready workflows, and the business side of data initiatives—from enterprise data strategies to GPU-first cloud infrastructure and real-world AI deployments. Notable episodes probe how to scale coding with AI, reliability of AI agents, and the bridge between research ideas and production systems, often featuring leaders at the forefront of AI hardware, software, and enterprise data platforms. A distinctive edge is the emphasis on actionable frameworks, metrics, and governance for AI in business, making it valuable for practitioners, engineers, and product leaders aiming ... more

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1. Practical AI
2. DataFramed
3. This Day in AI Podcast
4. NVIDIA AI Podcast
5. The AI Daily Brief: Artificial Intelligence News and Analysis

How many episodes of Super Data Science: ML & AI Podcast are there?

Super Data Science: ML & AI Podcast launched 10 years ago and published 992 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. Trevor Manz
2. Anneka Gupta
3. Richmond Olake
4. Linda Haviv
5. Kishore Subramanian
6. Raju Malhotra
7. Traci Walker Griffith
8. Lin Qiu

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