『Why Legacy Data Stacks Fail AI Agents (And How Modern Teams Are Fixing It)』のカバーアート

Why Legacy Data Stacks Fail AI Agents (And How Modern Teams Are Fixing It)

Why Legacy Data Stacks Fail AI Agents (And How Modern Teams Are Fixing It)

無料で聴く

ポッドキャストの詳細を見る

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.

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
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません