Category: Data

  • Artificial Intelligence has become integral to enterprises, necessitating adaptability in governance models. Traditional governance often falters at scale due to rigidity. A contextual governance framework tailors controls based on risk, context, and operational impact, fostering innovation while ensuring accountability. It emphasizes clear ownership and integrates governance throughout the AI lifecycle for better outcomes.

  • Organizations have invested millions in Data Lakes, leading to chaotic “Data Swamps” that users avoid due to inefficiency. The emerging role of Data Product Manager (Data PM) addresses this issue. They transform data into reliable, valuable products, ensuring clarity and trust while driving overall data utility and strategic outcomes for businesses.