September 2026
Intermediate to advanced
100 pages
1h 7m
English
Chapter 1: High-Stakes Data—Why Quality, Governance, and Real-Time Management Matter for AI (available)
Chapter 2: The Data Problem in AI—and the High Cost of Getting It Wrong (available)
Chapter 3: The Essentials of Data Management for AI (unavailable)
Chapter 4: High-Quality Data—The Secret to Smarter AI and Agentic Systems (unavailable)
Chapter 5: Practical Advice for Managing Data in the Age of AI Agents (unavailable)
Chapter 6: Building a Scalable Data Management Framework for AI Agents (unavailable)
Chapter 7: Stories from the Field—Real-World Lessons in AI Data Management (unavailable)
Conclusion: Fix Your Data Before AI Agents Break Everything (unavailable)
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