Real-world lessons on governance, leadership, and business focus in artificial intelligence projects.

• How to identify and prioritize business opportunities where AI can add real value.
• The Role of Governance in Selecting, Monitoring, and Scaling AI Initiatives.
• Why the active involvement of business units is a critical success factor.
• Common mistakes made when projects are approached from a purely technological perspective.
• Real-world case studies and lessons learned from projects involving advanced analytics, machine learning, and generative AI.
• Key Strategies for Turning AI Initiatives into Tangible and Sustainable Results for the Organization.