Show Notes
In this episode of The AI Table, Dia Adams sits down with Jena Zhang, the first University Chief Data & AI Officer in the midwest, to unpack the shift transforming education: the jump from legacy data stacks to real-time, agentic AI. They break down why traditional data governance fails in autonomous environments, how to bridge the communication gap between data leaders and the C-suite, and where the biggest innovation opportunities lie for modern enterprise leaders. Unlock Enterprise AI Authority To lead in the agentic era, you need strategy over hype: Subscribe to The AI Table Newsletter: Receive executive-level breakdowns on AI governance, agentic workflows, and data strategy delivered straight to your inbox at theaitable.org/newsletter. Join The AI Table Membership: Gain exclusive access to peer networks, strategic briefings, and enterprise frameworks designed for senior data and AI leaders. Apply for Pro Membership at theaitable.org. #aistrategy #AgenticAI #DataGovernance #EnterpriseAI #EdTech #TheAITable #aigovernance
Takeaways Shift from data for humans to machines Importance of data governance in AI
Chapters 00:00 The Evolution of Data Management 02:02 Understanding Agentic AI 03:33 Defining True Data Products 05:45 Persuading Leaders on Data Value 08:02 Navigating AI Pressure as a Leader 09:43 Transforming Raw Data into Value 12:28 Universal Standards for Data Integration 14:00 Real-Time Data Pipelines in AI 16:21 Investing in Agent-Ready Data Products 21:03 Accountability in Data Ownership 23:37 Encouragement for Future Builders
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