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.
Learn how to structure your teams for success and avoid the pitfalls that cause most AI projects to fail before they reach production.
Move from identifying a high-impact business problem to building a scalable AI product family with confidence and clarity.
Master the end-to-end process of training, deploying, monitoring, and maintaining AI models — from first experiment to production at scale.
Understand the roles of every function — from data scientists to executives — in a high-performing AI-driven organization.
Gain a practical framework for integrating LLMs, RAG, fine-tuning, and agentic AI into enterprise workflows — from the author who has deployed them in production.
Explore the differences between product platforms, product families, and industry platforms — and how to leverage each for competitive advantage.
Dr. Selim Mimaroglu has 24 years of hands-on AI leadership across financial services and energy sectors. This is hard-won experience, not theory from the sidelines.
Software development has long-established frameworks. AI demands something different. This book gives you that blueprint, team by team, role by role.
Most organizations get stuck in AI experimentation. This book closes the gap between bold AI ambitions and real, measurable results in production.
From LLMs and RAG to agentic systems, the book integrates generative AI throughout — reflecting where enterprise AI is heading, not where it has been.
AI is like a dream product that requires a symphony of teams, tools, and strategies. This book orchestrates all of them into one coherent approach.
“Think of AI as a dream product — one that requires a symphony of teams, tools, and strategies to bring it to life.”
This book saved us 18 months of trial and error. The ROI frameworks alone justified the read. We rolled out our AI program with confidence after following the playbook.
I've read dozens of AI books. This is the only one I've given to my entire leadership team. It's practical, honest about the challenges, and grounded in real enterprise reality.
The chapter on AI governance completely changed how we think about risk. We went from blocked to deployed in three months using the framework in this book.
Understand the forces reshaping industries and why AI is no longer optional. This chapter makes the strategic case for transformation and sets the stage for everything that follows.
Go beyond buzzwords. Learn what it truly means to be an AI-fueled enterprise — the structures, mindsets, and operating models that separate leaders from laggards.
Discover the team structures, reporting lines, and role definitions that set AI initiatives up for success — and the common org mistakes that doom them.
Learn how to identify high-impact problems worth solving with AI, generate ideas systematically, and build an innovation pipeline that feeds your product roadmap.
Master the discipline of managing AI as a product — from problem definition and stakeholder alignment to roadmap prioritization and launch.
Understand the role of AI research within the enterprise: how to build a research function, connect it to product, and turn experiments into production-ready solutions.
Navigate the full deployment lifecycle — infrastructure, MLOps, monitoring, and the cross-functional coordination required to ship AI reliably and at scale.
Move from deployment to sustained value. Learn how to monitor models in production, manage drift, retrain at cadence, and build the operational muscle for long-term AI success.
Available May 27, 2026 from Oracle Press. Order the paperback or eTextbook now from Pearson — and start your organization’s AI transformation today.