Leading Enterprise AI Programs
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Book 1
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Book 1
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Leading Enterprise AI Programs: Optimize AI Teams for Value Creation

Leading Enterprise AI Programs: Optimize AI Teams for Value Creation


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About the Book

Companies everywhere are investing significant resources into building AI products and services that they hope will transform their business. To deliver real results, AI and data leaders need to build a strong business-oriented enterprise AI program. Leading Enterprise AI Programs is an essential guide to establishing and directing an agile, ethical and business-focussed AI strategy and program for the whole enterprise. It provides leaders with guidance on operating a portfolio of use cases delivering effective and lasting business value. You will learn how to set up the best operating model for an organization's goals and targets, find and prioritize the right use cases for the business, and build a community of citizen data scientists. This book explains how AI can drive business success through focusing on users and interfaces, with clarity on the challenges to be solved as the primary drivers of value. This book provides practical frameworks and actionable advice to help leaders set up a program and project portfolio, assess costs and benefits and embed AI into an organization's value generation ecosystem. With real-world examples, Leading Enterprise AI Programs helps leaders steer an enterprise AI team to lasting success.

Table of Contents:
Chapter - 00: Introduction Section - ONE: The Optimal Structure of the Team for Success Chapter - 01: Setting up the right operational model Chapter - 02: Building a Community of Citizen Data Scientists Chapter - 03: Identifying and prioritizing uses cases Chapter - 04: Creating common project platforms and organizational programs Chapter - 05: Managing risk and a portfolio of projects Section - TWO: Embedding the enterprise AI program into the value stream Chapter - 06: Establishing a project charter and implementing design thinking Chapter - 07: Project management and agile scrum Chapter - 08: User experiences and interfaces Chapter - 09: Change management and adoption Chapter - 10: Managing costs and rewards Section - THREE: Dependencies on other teams, companies and society Chapter - 11: Ensuring high quality data Chapter - 12: Conducting AI responsibly and ethically Chapter - 13: Governing and maintaining AI models and applications over the long-term Chapter - 14: Managing vendors and encouraging open innovation Chapter - 15: Lifelong learning for the team and company Chapter - 16: Further Reading

About the Author :
Patrick Bangert is an experienced technology executive who has led AI and machine learning teams and programs for over two decades. He is currently VP and Chief of AI at Occidental Petroleum. He was previously the VP of AI for Samsung SDS, the founder of algorithmica technologies and the SVP of Data, Analytics, AI at Searce. He lives in San Francisco, CA.

Review :
"By uniting strategy, governance, and technical foundations, this book fills a long-needed void with a rigorous guide to building and leading effective AI organizations." "This book isn't about algorithms or the latest buzzwords. It's a field guide for leaders who want to make AI deliver lasting business impact. By grounding the conversation in strategy, adoption, and change management, Leading Enterprise AI Programs demonstrates how to avoid the traps that derail most projects. Every executive and AI leader should keep this book within arm's reach." "Leading Enterprise AI Programs is an AI playbook for senior leaders charged with scaling AI for measurable business value. Drawing on deep operational insight, Patrick Bangert captures exactly what I've seen in Fortune-100 environments. This book is a must-read for any executive serious about embedding AI across a complex, regulated organization." "Clear and practical, this book is an essential guide for anyone launching an AI initiative, answering every pertinent question from project kickoff to full-scaledeployment. Thoughtful and meticulous, this book tackles every key question on AI-from technology and ethics to change management and deployment-making it an indispensable resource." "This book tackles enterprise AI practically and realistically. It's written for leaders who are curious about where to start, managers juggling multiple AI projects, and practitioners or startups building these systems from the ground up. It openly discusses where AI projects fail and why, providing a realistic view of what you're getting into. From your first strategy meeting all the way through to maintaining operations years down the line, this book guides you through the entire journey without sugarcoating." "A rare blend of strategy, structure, and empathy - this book captures what it truly takes to lead AI programs that deliver impact, trust, and long-term value." "From navigating organizational resistance and securing executive buy-in to building scalable data infrastructure and establishing governance frameworks that actually work, I have found the practical nature of this book to be invaluable. For anyone leading or contributing to data and AI initiatives at large organizations, this book offers the kind of wisdom that typically takes years of hard-won experience to accumulate. It's become an essential part of my professional toolkit, and I suspect I will continue to reference it again and again." "This book nails the hardest part of enterprise AI: turning strategy into sustained value. As someone leading AI in a complex enterprise, I found this book refreshingly practical. It cuts through the hype and lays out exactly what it takes to build AI programs that deliver real value at scale. It's a must-read for leaders who want AI to actually land." "Patrick Bangert is the real deal. He combines world-class AI expertise with the discipline to turn it into value. In a field full of noise, he's the signal." "Patrick Bangert is turning a complex topic into a practical roadmap any enterprise can follow with confidence for democratizing AI. Bangert shows that governance is not bureaucracy but the backbone of adoption and reminds us that leading AI is not about algorithms, but about aligning people, purpose, and processes until innovation becomes inevitable. It is all about what actions get us closer to the value and for enterprise AI programs it's practically how to bring AI to data rather than data to AI." "Leading Enterprise AI Programs is a rare work that bridges strategy design and execution realities. It unites the rigor of management doctrine with the fast-evolving challenges of AI, making it an indispensable playbook for leaders navigating transformation."


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Product Details
  • ISBN-13: 9781398623200
  • Publisher: Kogan Page Ltd
  • Publisher Imprint: Kogan Page Ltd
  • Language: English
  • ISBN-10: 1398623202
  • Publisher Date: 03 Feb 2026
  • Binding: Digital (delivered electronically)
  • Sub Title: Optimize AI Teams for Value Creation


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