Rephonic
Artwork for Super Data Science: ML & AI Podcast

Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
Artificial Intelligence
Data Science
Machine Learning
Generative AI
Agentic AI
Large Language Models
Openai
Data Analytics
AI Agents
Quantum Computing
AWS
Anthropic
Cloud Computing
Foundation Models
Education
Python
Human-Ai Collaboration
Burnout
Mathematical Optimization
Nvidia

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 weeklyEpisodes1044Founded10 years ago
Number of ListenersCategories
TechnologyScience

Listen to this Podcast

Artwork for Super Data Science: ML & AI Podcast

Latest Episodes

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

YouTube

#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

YouTube

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

YouTube

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

YouTube

Key Facts

Accepts Guests
Accepts Sponsors
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

Recent Guests

Amy Blackshaw
Senior vice president at Palo Alto Networks and cybersecurity executive.
Palo Alto Networks
Episode: 1040: Cybersecurity for the Agentic AI Era, with Amy Blackshaw
John Renne
Professor of real estate and urban planning at Tulane University and expert on transit-oriented development
Tulane University
Episode: 1039: AI for Real Estate, Walkable Cities and Climate Action, with Prof. John Renne
Richard Socher
CEO and co-founder of Recursive, co-founder of You.com and AIX Ventures, and author of The Eureka Machine
Recursive
Episode: 1037: Recursive Self-Improvement: The Eureka Machine, with Dr. Richard Socher
Carly Taylor
Founder of Rebel Data Science and former engineering leader at Activision, Microsoft, and Databricks
Rebel Data Science
Episode: 1035: Workslop, Glass Cliffs and Inviting Your Fears to Tea, with Carly Taylor
Ish Shah
Distinguished engineer at Dell Technologies
Dell Technologies
Episode: 1034: In Case You Missed It in September 2026
Aishwarya Srinivasan
Data scientist and entrepreneur who teaches agentic AI
Gen Academy
Episode: 1034: In Case You Missed It in September 2026
Luis Serrano
Founder of Serrano Academy and author of Grokking Machine Learning
Serrano Academy
Episode: 1034: In Case You Missed It in September 2026
Katie Malone
Data science leader and host of Linear Digressions
Episode: 1034: In Case You Missed It in September 2026
Dilani Kahawala
Harvard-trained physicist and product leader, co-founder and CEO of Anna
Anna
Episode: 1034: In Case You Missed It in September 2026

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 884 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 States3 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 States3 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
    Denmark4 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
#93
United States/Technology
Apple Podcasts
#116
Canada/Technology
Apple Podcasts
#124
United Kingdom/Technology
Apple Podcasts
#139
Australia/Technology
Apple Podcasts
#220
Germany/Technology
Apple Podcasts
#236
Italy/Technology

Talking Points

Recent interactions between the hosts and their guests.

1039: AI for Real Estate, Walkable Cities and Climate Action, with Prof. John Renne
Q: Tell us about Transit Oriented Development.
Renne describes development organized around walkable communities and transit stations, contrasting it with car-dependent sprawl. He says walkability is central to the concept and that transit-oriented development has become more common in the United States partly because it is profitable, while noting that high demand can also contribute to gentrification.
1039: AI for Real Estate, Walkable Cities and Climate Action, with Prof. John Renne
Q: So tell us about the thought process behind that and whether kind of everyone should be doing that if they're interested in AI.
Renne returned to school after realizing during the pandemic that his data science and statistical skills were outdated. He wanted to learn Python and gain practical knowledge, but said a second master's degree is not necessary for everyone because there are many ways to learn.
1040: Cybersecurity for the Agentic AI Era, with Amy Blackshaw
Q: How is an agentic identity different from a human user or from a traditional service account?
A human identity has human judgment and accountability, while a service account is static and can retain excessive privileges for years. An agentic identity can make decisions and chain tools like a person, but is provisioned as code and can multiply at machine scale, often without adequate governance.
1040: Cybersecurity for the Agentic AI Era, with Amy Blackshaw
Q: What happened in July with OpenAI's agents getting into the Hugging Face systems? What did the agent do and how did it reach cluster admin authority in a matter of hours?
The attackers' autonomous agents carried out 17,500 actions over four and a half days, but basic identity and privilege failures gave them access to critical resources. An exposed plain-text password, a broadly privileged master key, and an unreviewed service account helped the attackers move through the infrastructure.
1037: Recursive Self-Improvement: The Eureka Machine, with Dr. Richard Socher
Q: Will we reach zero-shot innovation, and what's the timeline?
Socher says new ideas can emerge from recombining existing knowledge in underexplored ways, and that AI may eventually produce entirely new paradigms. He answers yes to the possibility, while emphasizing the breadth of innovation available through recombination.

Audience Metrics

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

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

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

Where can I find podcast stats for Super Data Science: ML & AI Podcast?

Rephonic provides a wide range of podcast stats for Super Data Science: ML & AI Podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Super Data Science: ML & AI Podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Super Data Science: ML & AI Podcast get?

Rephonic provides a full set of podcast information for four million podcasts, including the number of listeners. View further listenership figures for Super Data Science: ML & AI Podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for Super Data Science: ML & AI Podcast?

Rephonic provides comprehensive predictive audience data for Super Data Science: ML & AI Podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does Super Data Science: ML & AI Podcast have?

To see how many followers or subscribers Super Data Science: ML & AI Podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to Super Data Science: ML & AI Podcast?

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

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

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.

How do I contact Super Data Science: ML & AI Podcast?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Super Data Science: ML & AI Podcast?

Rephonic pulls ratings and reviews for Super Data Science: ML & AI Podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for Super Data Science: ML & AI Podcast?

Rephonic provides full transcripts for episodes of Super Data Science: ML & AI Podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

What guests have appeared on Super Data Science: ML & AI Podcast?

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

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days