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In this session, we're unveiling our new AI Advisor education agent! We'll show you the dashboard for this powerful tool, smartapply.elephantscale.com, and discuss how it's designed to guide users through their educational journey. This demo leads us into two of the most critical topics in production AI: Data Governance and Governing AI Agents. We'll take a deeper dive into why data quality is the #1 risk to AI success and explore new frameworks for controlling, monitoring, and securing autonomous AI agents. Finally, we'll get hands-on with Jupyter AI. We'll show you how to supercharge your notebooks with generative AI, using the %%ai magic command and integrated chat to code, debug, and explore data faster than ever before. What We'll Cover: 🎓 Demo: The AI Advisor Education Agent A first look at our smartapply.elephantscale.com dashboard. An overview of how this agent assists in educational planning. ⚖️ Governing AI Agents & Data A deeper dive into the critical importance of Data Governance and Data Quality. An exploration of new frameworks for managing and securing autonomous agents in production. 💻 AI Coding in Notebooks with Jupyter AI A practical demo of the Jupyter AI extension. Using the %%ai magic command and chat UI to write and debug code directly in your notebook. Resources: AI Advisor: https://smartapply.elephantscale.com/... Host: Mark Kerzner ( / markkerzner ) ElephantScale Webinars: https://elephantscale.com/webinars/ (Add link to your Jupyter AI repo here) Keywords: AI Agent, Education AI, AI Advisor, Data Governance, Data Quality, Governing AI Agents, Jupyter AI, AI Coding, Jupyter Notebook, AI Demo, Mark Kerzner, ElephantScale. Want to see how to build and govern your own AI agents? Hit the subscribe button and click the bell 🔔 to get notified about all our upcoming sessions.