AI projects don’t simply end at deployment—they learn, evolve, drift, and demand continuous attention. It was a privilege to speak at Decoding Data Science (DDS) Community Event on “From AI Idea to Impact: How to Successfully Manage an AI Project.” Successful AI delivery requires a shift from a traditional project mindset to a data-first, iterative, and living-system mindset—where monitoring, retraining, and MLOps are part of the journey. For project managers, this means expanding beyond scope, schedule, and budget to embrace data literacy, AI governance, ethics, explainability, and measurable business outcomes. Equally important, trust cannot be an afterthought—bias mitigation, human oversight, privacy, security, and explainability must become real project milestones with owners and dates. A huge thank you to Decoding Data Science (DDS) and @Mohammad Ahmad for giving me the opportunity and platform to share my perspective, and to everyone who joined, asked thoughtful questions, and participated in the Kahoot challenge. The journey from AI idea → POC → production → sustained impact is not just about building better models—it’s about managing AI responsibly and turning technology into lasting business value. #DecodingDataScience #DDS #ArtificialIntelligence #AIProjectManagement #AILeadership #AIGovernance #MLOps #ResponsibleAI #ProjectManagement #PMI #CPMAI #AgenticAI