- Explains how AI and data leaders can effectively structure, strengthen and improve their enterprise AI programs for the organization's financial benefit
- Demonstrates how to correctly embed enterprise AI projects into an organization to help ensure long-lasting business success
- Covers data and AI governance, data quality, AI ethics, managing vendors, open innovation and professional development
- Provides tested and proven frameworks covering the major decisions needed to run enterprise AI programs and discusses what organizations, AI leaders and data leaders need to be thinking about when making those decisions
- Includes checklists, project canvases, prioritizations tools and portfolio management methods to help visualize the process



