People and Skills: Upskilling, innovation culture, and experimentation to fuel AI adoption

Culture and Structure: Leadership buy-in, change management, and collaboration practices to facilitate successful AI integration

Technology and Strategy: Developing an AI adoption roadmap, assessing readiness, and calculating ROI

Processes and Outcomes: Ensuring governance, ethics, compliance, and transparency in AI use, as well as maintaining data quality, management, and security.

Ecosystem and Partnerships: Building relationships with research organizations, partners, and regulators to stay up-to-date on AI developments and ensure compliance with relevant regulations and standards