EBOOK
Enterprise Architecture in an AI-Driven Ecosystem
Navigating Business/Technology landscapes to positive outcomes
Edward Daniels(0)
About
"Artificial Intelligence is accelerating execution and exposing architectural weaknesses faster than ever before.
Enterprise Architecture must be practical, early, and accountable-or it will be bypassed."
This book connects real-world successes, failures, and recoveries from inside organizations where outcomes truly mattered in the modern AI and SaaS ecosystem. It provides a clear view of how leaders must navigate the business landscape to achieve the business outcomes enterprises now require-delivering traceable value, measurable impact, and architecture that works in practice, not just in theory.
In this book, you will learn how to:
• Connect architecture to measurable business outcomes
• Balance accountability, speed, and governance
• Design practical integration strategies for AI- and SaaS-driven ecosystems
• Build technology-agnostic architectures that adapt to platform change
• Address embedded architect and enterprise integration challenges
Enterprise Architecture must be practical, early, and accountable-or it will be bypassed."
This book connects real-world successes, failures, and recoveries from inside organizations where outcomes truly mattered in the modern AI and SaaS ecosystem. It provides a clear view of how leaders must navigate the business landscape to achieve the business outcomes enterprises now require-delivering traceable value, measurable impact, and architecture that works in practice, not just in theory.
In this book, you will learn how to:
• Connect architecture to measurable business outcomes
• Balance accountability, speed, and governance
• Design practical integration strategies for AI- and SaaS-driven ecosystems
• Build technology-agnostic architectures that adapt to platform change
• Address embedded architect and enterprise integration challenges