What is data governance and why is it crucial for successful AI projects?

Enterprise enthusiasm for generative AI tools is no longer speculative - it is systemic.

A Microsoft-IDC study shows adoption climbing from 55 percent in 2023 to 75 percent in 2024, while Gartner expects more than 80 percent of organizations to run GenAI applications in production by 2026.

Yet beneath the acceleration sits an uncomfortable reality: over half of enterprises still do not track basic data-quality metrics, and as many as 60 percent will fail to capture the full value of their AI roadmaps due to inadequate data governance.

Ambition has outrun discipline - and in the age of probabilistic systems, discipline is spelled G-O-V-E-R-N-A-N-C-E.

Data governance - in the AI context - is the ...