Why Legacy Data Stacks Fail AI Agents (And How Modern Teams Are Fixing It)
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In this episode of The AI Table, Dia Adams sits down with Jenna 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.
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#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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