Leading Enterprise AI Programs: Optimize AI Teams for Value Creation - Hardcover

Bangert 0, Patrick

Hardcover

ISBN 10: 1398623210 ISBN 13: 9781398623217

Publisher: Kogan Page, 2026

Synopsis

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.

About this title

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 was named a Top 10 Influential Leader in AI and Big Data by CIOLook Magazine and is currently VP and Chief of AI at Occidental Petroleum. He was previously the SVP 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.

Edition details

• Publisher: Kogan Page
• Publication date: 2026
• Language: English
• ISBN 10: 1398623210
• ISBN 13: 9781398623217
• Binding: Hardcover
• Edition number: 1
• Number of pages: 264