Innovation and Challenges in Data Analytics and AI Projects

This chapter explores the complexities of implementing data analytics and AI projects, touching on issues like data quality, aligning capabilities with business objectives, ethical considerations, and managing risks. Emphasis is placed on continuous learning and using methodologies like CPMAI to enhance skills and successfully execute data-centric initiatives.