Success Beyond the Hype
A timely and authoritative guide bridging the gap between AI ambition and execution — with a structured, proven roadmap for building and scaling AI across your entire enterprise.
Why This Book
AI demands a new organizational blueprint. This book presents a clear, practical approach — from identifying high-impact problems to deploying solutions confidently into production.
Learn how to structure your teams for success and avoid the pitfalls that cause 80% of AI projects to fail before they reach production.
Discover how to move from identifying a business problem to building a scalable AI product family with measurable business impact.
Master the end-to-end process of training, deploying, monitoring, and maintaining AI models at enterprise scale.
Understand the distinct roles of individual contributors, teams, and leaders in an AI-driven organization — and how they must interact.
Gain insights from the author’s hands-on experience leading AI initiatives at Oracle and Fannie Mae — including what went wrong and why.
Explore the differences between product platforms, product families, and industry platforms — and how to leverage each for competitive advantage.
About the Author
Inside the Book
Eight focused chapters, each with a real-world anecdote, concrete pitfalls to avoid, and keys to success.
AI as a better solution, great enabler, and product driver. Covers AI jargon, roles, and prototyping.
People, product, process, technology, and culture — the five pillars of a successful AI enterprise.
Hierarchical structures, AI Center of Excellence design, and the organizational pitfalls that derail most teams.
Horizon projects, hackathons, open innovation, inventions, leadership, and the AI Industry Platform.
Product platform strategy, roadmaps, AI PM techniques, and cross-functional interaction patterns.
Literature review, research team structure, tools, processes, and professional interactions in depth.
Deployment team roles and responsibilities, and interactions with research and production teams.
Team structure, roles, responsibilities, and the path from trained model to sustained business value.
Editorial Reviews
Praise from professors, practitioners, and executives at the frontier of enterprise AI.
Your organization won’t succeed with AI if it’s only viewed as a technology. AI must be a strategic initiative, an ongoing capability, and a cultural transformation. This book describes how to make AI an essential focus for today and the future.
Most AI books are either deep technical guides or executive-strategy hand-waving. This one fills the rarely-occupied middle, written by someone who actually built and ran AI teams at Oracle for 25 years. Mimaroglu’s core argument is that most AI failures are organizational failures, not technical ones. He walks through how Research, Deployment, and Production teams should divide labor, what AI should actually look like on the inside, and what didn’t work along the way. If you’re a leader trying to stand up or rationalize an AI organization, this is one of the few books written for that exact problem.
This book is a fantastic step-by-step guide, whether you’re just starting out in AI and want to know more, or a seasoned pro who wants to refine or sense-check your processes. Well written, clear, and covers the practical as well as the theoretical. My favourite quote is ‘embrace failure’ — it’s the best way to learn. Selim didn’t have an easy path to get to where he is, and is not afraid to share his learnings so we don’t have to make the same mistakes. I really enjoyed the pitfalls sections in each chapter, delivering short, knowledge-packed nuggets. Like he says, AI is a journey — and this is a great roadmap.
This book provides a masterful roadmap for navigating the complex transition of AI from experimental models to high-impact, real-world enterprise solutions.
From AI strategy and organizational design to product, deployment, and production, Selim Mimaroglu provides a rare end-to-end perspective on what it truly takes to succeed with AI in the enterprise. Grounded, pragmatic, and highly relevant.
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