Prioritization becomes essential when managing multiple AI projects.
Clear criteria and weights can be assigned to evaluate and prioritize each use case.
Some criteria for evaluation include direct value, strategic value, technical and implementation feasibility, ROI, risk assessment, and market readiness.
By integrating different perspectives and using a structured framework, leaders can make informed decisions for successful AI project management.