Leading Enterprise AI Programs

Optimize AI Teams for Value Creation
1. Auflage 2026
ISBN: 978-1-3986-2321-7
Verlag: Kogan Page

Buch, Englisch, 264 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 564 g

Turn AI ambition into measurable enterprise success with an agile, ethical, and business-focused AI strategy and program for the whole enterprise. structured, enterprise-wide strategy that scales. Leading Enterprise AI Programs is a practical guide for CIOs, Chief AI Officers, technology directors, and senior AI and project management professionals responsible for developing, deploying, and scaling AI solutions across complex organizations.

Written by Patrick Bangert, an experienced technology executive with over two decades of expertise leading AI and machine learning teams, this book provides a proven framework for managing enterprise AI programs from project initiation to deployment and ongoing optimization.

Combining technical project management, agile methodologies, and AI governance, the book explores how to structure AI teams, prioritize use cases, manage project portfolios, and integrate AI applications into existing technology environments. Supported by real-world examples and endorsed by senior technology and AI leaders, it equips you to:

- Structure AI teams and establish scalable operating models - Manage AI project portfolios - Optimize data quality, AI platforms, and application interfaces - Strengthen AI governance, model oversight, and technical risk management - Evaluate project costs, performance, and long-term value

From establishing project charters to managing AI models, vendors, and deployment challenges, Leading Enterprise AI Programs provides the frameworks to improve technical delivery, reduce implementation risk, and build AI programs that deliver sustainable value.

Themes include: enterprise AI project management, AI program delivery, machine learning operations, AI governance, AI portfolio management

Autoren/Hrsg.

Bangert, Patrick

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Projektmanagement
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

• • Chapter - 00: Introduction;
• Section - ONE: The optimal structure of the team for success;
• • Chapter - 01: Setting up the right operating model;
  • Chapter - 02: Building a community of citizen data scientists;
  • Chapter - 03: Identifying and prioritizing use cases;
  • Chapter - 04: Creating common product 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 experience 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;
  • Chapter - 14: Managing vendors and encouraging open innovation;
  • Chapter - 15: Lifelong learning for the team and company;
  • Chapter - 16: Further reading;

Über Autor(innen)

Bangert, Patrick
<b>Patrick Bangert</b> 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.

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.