# AI Transformation Playbook - Execute pilot projects to gain momentum - More important for the initial project to succeed vs the most important/valuable - Build an in-house AI team - Create an AI Unit supporting the different Business Units (BUs) of the company - Can be worthy to introduce a CAIO, a C-suite executive focused on AI and managing the AI unit, or a VP of AI - Provide broad AI training (to engineers, leaders, etc) - Executives and senior business leaders - What AI can do for their enterprise - AI strategy - Resource allocation - Leaders of divisions working on AI projects - Set project direction (technical and business diligence) - Resource allocation - Monitor progress - AI engineer trainees - Build and ship AI software - Gather data - Execute on specific AI projects - Develop an AI strategy - Develop the strategy iteratively, building upon the results of experiments - Leverage AI to create an advantage specific to the industry secor - Design a strategy aligned with the "Virtuous Cycle of AI" - Better product -> More users -> More data > ... - Create a data strategy - Strategic data acquisition - Unified data warehouse - Create network effects and platform advantages - Consider low-cost strategy vs high value strategy and how AI can benefit each - Develop internal and external communications - Investor relations - Government relations (regulators, etc) - Consumer/user education - Talent/recruitment - Internal communications