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Super Data Science: ML & AI Podcast with Jon Krohn
Data scientists, machine learning engineers, and business leaders adopting AI processes.
- Est. audience
- 400
- Cadence
- Weekly
- Latest
- 2026-10-30
- By
- Jon Krohn
- Based on
- 12 recent episodes
- Covers: Machine learning, AI agents, enterprise data management, cybersecurity, token costs, and engineering leadership.
- For: Data scientists, machine learning engineers, and business leaders adopting AI processes.
- Best for: Technical professionals and enterprise leaders managing AI applications and data infrastructure.
- Skip if: General consumers uninterested in machine learning, data science, or technical software topics.
Start with
- 1040: Cybersecurity for the Agentic AI Era, with Amy Blackshaw: Explains how frontier AI impacts identity security and lowers attack costs for cybercriminals.
- 1032: Agents Need 10x More Data Than Humans, with Salesforce’s CDO Michael Andrew: Details how data teams must adapt their architecture when serving AI agents.
- 1031: Tokenomics: Why Your Agentic AI Bill Is Exploding (and How to Fix It), with Tyler Cox and Ish Shah: Examines the drivers of soaring agentic AI token costs and how to control them.
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Summarised by AI from 12 recent episodes. Audience estimate and Apple rating from Podscan, checked 2026-11-03; treat the estimate as a guide and ask the show for its own numbers. Prices are not included. Report a mistake.