WHAT’S INSIDE

Chapter 1: High-Stakes Data

Why data quality, governance, and real-time management are the make-or-break factors for AI success and why most organizations are more exposed than they realize.

  • The Agentic Imperative: how autonomous AI systems are fundamentally changing what data must do
  • Defining the Data Crisis: why only 3–7% of enterprise data is currently fit for AI use
  • What ‘Good Data’ Really Entails: accuracy, completeness, consistency, timeliness, and the governance frameworks that sustain them

Get Your Early Release Copy

Chapter 1 available now. New chapters delivered automatically as released.

WHO THIS BOOK IS FOR

For Technical Leaders (Data Engineers, AI/ML Engineers, Data Architects)

Understand the architectural patterns, data pipeline requirements, and quality standards that modern agentic systems demand.

For Business Leaders (CIOs, CTOs, CDOs, Line-of-Business Leaders)

Build the strategic case for data management investment — and understand exactly what’s at risk when the data layer is ignored.

ABOUT THE AUTHOR

Michael Bachman is Head of Research, Architecture, and Emerging Technology Strategy at the Boomi Innovation Group. He has served as Principal Architect and Staff Technologist within the offices of the CTO at Dell, Boomi, and Code42, and is an inventor, author, researcher, and futurist focused on enterprise data and AI.

 

ABOUT THIS RELEASE

Data Management for Agentic Systems is an O’Reilly Technical Guide co-published with Boomi. This early release gives you the author’s content as it’s written, ahead of the final edited publication. Chapter 1 is available now. Additional chapters will be released on a rolling basis and delivered to you automatically.