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Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

By: Jon Krohn
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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 conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.© 2024 Super Data Science: ML & AI Podcast with Jon Krohn Science
Episodes
  • 985: The Four Types of Memory Every AI Agent Needs, with Richmond Alake

    985: The Four Types of Memory Every AI Agent Needs, with Richmond Alake
    Apr 21 2026
    Oracle’s Director of AI Developer Experience Richmond Alake returns to the show to talk to Jon Krohn about agent memory; the network of systems, models, databases and LLMs that enable AI agents to learn and adapt over time. Listen to the episode to hear about Richmond’s “100 Days of Agent Memory” initiative, retrieval-augmented generation’s (RAG) limitations with AI agents, the layers of the AI agent stack, and what makes the Oracle AI database so useful to developers. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/985⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (03:15) What agent memory is and why it’s important (28:28) RAG’s limitations for AI agents (35:19) What matters in the AI agent stack beyond memory (41:34) Why memory was undervalued in the AI agent stack
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    1 hr and 4 mins
  • 984: Building AI Agents Where 99.9% Accuracy Isn't Good Enough, with Raju Malhotra

    984: Building AI Agents Where 99.9% Accuracy Isn't Good Enough, with Raju Malhotra
    Apr 17 2026
    Raju Malhotra, Chief Product and Technology Officer at Certinia, talks to Jon Krohn about the so-called SaaSpocalypse and how agentic AI is proving the doomsayers wrong. Listen to the episode to hear more about Certinia’s work with Salesforce and building with Agentforce 360, the three elements required for enterprise-grade agents, how AI agents have benefitted Certinia’s customers, and how to keep your work portfolio fresh and interesting to recruiters. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/984⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.⁠⁠⁠ In this episode you will learn: (01:24) What Certinia does for professional services companies (08:45) Why the "SaaSpocalypse" is wrong (13:19) Agentforce 360 and how Certinia builds on it (15:06) The three elements required for enterprise-grade agents (18:02) How AI agents have impacted Certinia's customers
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    29 mins
  • 983: AI in the Classroom: How a Top Elementary School Is Doing It Right, with Principal Traci Walker Griffith

    983: AI in the Classroom: How a Top Elementary School Is Doing It Right, with Principal Traci Walker Griffith
    Apr 14 2026
    My guest today took a public school that was about to be shut down and turned it into the number one school in Boston, and AI is her latest secret weapon. In a long-overdue episode on AI for supporting children’s education, hear directly from Principal Traci Walker Griffith how her teachers have been experimenting with AI in classrooms, what works, what doesn’t work, and what’s next for kids as LLMs continue to improve. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/983⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (03:38) The Eliot School’s transformation from closure list to number one in Boston (08:54) How the school began using Claude for AI-assisted writing feedback (18:14) How younger students benefit from AI behind the scenes (23:46) How older students interact with AI directly (41:11) Three prompt engineering failure modes and how to fix them (55:29) Responding to the Brookings report on AI risks in education
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    1 hr and 13 mins
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