Название: Strategic AI Product Leadership: Build Products. Drive Transformation
Автор: Derya Isler
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2026
Страниц: 368
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

In today’s rapidly evolving technological landscape, Artificial Intelligence has shifted from a competitive advantage to a business imperative. Yet most organizations still struggle to turn AI aspiration into real, scalable product success. Strategic AI Product Leadership gives product leaders a clear, practical roadmap for navigating the unique challenges of AI; from defining strategy and managing data to designing trustworthy user experiences and scaling enterprise-grade solutions.

Drawing on years of hands-on experience leading AI initiatives at global companies including Meta, Spotify, and Salesforce, Derya Isler offers a comprehensive, end-to-end playbook for building AI products that deliver real business and user value. Blending strategic insight with practical frameworks, this book equips leaders at any level to build, launch, scale, and sustain successful AI products that outperform competitors and stand the test of time.

Whether you’re an aspiring AI product manager or a seasoned executive responsible for enterprise transformation, Strategic AI Product Leadership provides the vision, tools, and confidence you need to lead your organization into the AI-powered future.

Leadership teams using the terms AI, Machine Learning, and Generative AI interchangeably as if they all mean the same thing. They don’t, and the distinction matters. Unfortunately, this confusion is widespread across companies today.

Artificial Intelligence (AI) refers to machines or systems that can perform tasks that normally require human intelligence. These tasks include recognizing patterns, making predictions, understanding language, recommending content, or even generating new ideas.

Machine Learning (ML) is a type of AI that learns patterns from data instead of following fixed rules. Rather than telling a system exactly what to do, you give it examples and let it figure things out. Think of it as training a system rather than programming it. As an example, when we added a content moderation system to Instagram to identify whether content is appropriate to show, we used ML. We showed the system millions of labeled images (this is appropriate; this isn’t), and it learned to recognized patterns that we never explicitly programmed and was able to identify which content we should filter out with certain confidence level.

Deep Learning is a specialized type of ML that uses neural networks (structures inspired by the human brain) to solve more complex problems like image recognition, language translation, or audio analysis. Google Photos uses image recognition, a deep learning technique, to let you search your photos for “dog,” “beach,” or “birthday” without manually tagging anything.

Generative AI (GenAI) is the newest evolution. It is AI that doesn’t just recognize patterns but creates something new: text, images, code, or even decisions. ChatGPT uses a type of deep learning model called a transformer, trained on massive amounts of text data. It doesn’t memorize answers, but it generates responses based on the patterns it has learned. These models work by predicting what comes next in a sequence, which is how they can answer questions or write content.

Inside, you’ll learn how to:

Understand what makes AI products fundamentally different and how to rethink product management for an AI-first world
Build a robust data strategy, manage risks, and design user experiences that inspire trust
Develop MVPs for AI products, evaluate models, and define success with metrics that matter
Scale AI solutions from pilot to enterprise-wide deployment
Make smart decisions about what to build vs. buy, how to invest, and how to measure ROI
Lead AI initiatives with strong governance, ethical frameworks, and risk mitigation
Transform your organization into an AI-ready powerhouse with the right talent, culture, and operating models

“Derya Isler gives leaders the framework to balance quick wins against long-term strategic bets, allocating resources, measuring real ROI, and knowing when to scale, pivot, or pull the plug. The result is an AI program that moves past theater and delivers the kind of measurable, compounding returns that turn AI from a cost center into a competitive weapon. This is the book your competitors hope you never read.” ― Jeremy Ball, Director of Engineering, Netflix