@JonKrohnLearns 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. In this episode you will learn: • (00:00:00) Introduction • (00:00:41) SDS 985: The Four Types of Memory Every AI Agent Needs, with Richmond Alake • (00:12:02) SDS 981: How Data Engineers Are “10x’ing” Themselves With Agents, feat. Matthew J. Glickman • (00:18:03) SDS 987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Haviv • (00:28:14) SDS 983: AI in the Classroom: How a Top Elementary School Is Doing It Right, with Principal Traci Walker Griffith Additional materials: https://www.superdatascience.com/988 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.