Super Data Science: ML & AI Podcast with Jon Krohn

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988: In Case You Missed It in April 2026

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, and Linda Haviv, discussing the foundations of AI agent memory, how engineers can develop at scale, and why they believe AI could be your child’s perfect tutor in the classroom. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/988⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

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  996: TrueFoundry’s Nikunj Bajaj on How to Get $100M Returns on AI Agent De…

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  995: End-to-End Foundation Models for the Energy Industry, with Jazmia Hen…

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  994: AI’s Putting Recent Grads Out of Work; Here’s How to Get Hired Anyway!

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  993: How to Build AI-First Organizations, with Jacob Miller and Jeremy Mum…

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  992: Tokenmaxxing vs AI Hardware Bottlenecks

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  991: Pair Programming with AI in Your Python Notebook, with Dr. Trevor Manz

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  990: Inside Mythos: Anthropic's Locked-Down Frontier Model

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  989: Security for Mythos-Era Agentic Risks, with Rubrik’s Anneka Gupta and…

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  987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Hav…

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  986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian

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  985: The Four Types of Memory Every AI Agent Needs, with Richmond Alake

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  984: Building AI Agents Where 99.9% Accuracy Isn't Good Enough, with Raju …

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  983: AI in the Classroom: How a Top Elementary School Is Doing It Right, w…

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  982: In Case You Missed It in March 2026

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  981: How Data Engineers Are “10x’ing” Themselves With Agents, feat. Matt G…