Leading Enterprise AI Programs
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Leading Enterprise AI Programs
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See moreDevelop AI solutions that create real business value with this guide to leading a successful enterprise AI program.
Companies everywhere are investing significant resources into building AI projects and services that they hope will transform their business. In order to deliver real results, data and AI 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-focused enterprise AI program. It provides leaders with guidance on how to operate an effective AI program that delivers clear and effective results. Covering how to find and prioritise the right use cases for the business, enable a community of practice in the business, and set up the best operating model for your organisation's goals and targets, this book explains how AI can drive business success through focusing on ethical, productive, and responsible projects.
This book provides practical frameworks to help readers set up a program and project portfolio, assess costs and benefits, and embed AI into an organisation's value generation ecosystem. With real-world examples, Leading Enterprise AI Programs provides the skills for leaders to steer a core enterprise AI team and an organisation to lasting business success.
Book Details
INFORMATION
ISBN: 9781398623194
Publisher: Kogan Page Ltd
Format: Paperback / softback
Date Published: 03 February 2026
Country: United Kingdom
Imprint: Kogan Page Ltd
Audience: General / adult, Tertiary education, Professional and scholarly
DIMENSIONS
Spine width: 15.0mm
Width: 156.0mm
Height: 234.0mm
Weight: 666g
Pages: 264
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.
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