Data Infrastructure Deficiencies Lead to AI Failures

A study links many AI failures to shortcomings in data infrastructure. Data quality, governance, and cleanup emerge as crucial, making post-implementation reliability an urgent priority.

Why it mattersShows practical challenges directly tied to AI deployment and provides a useful framework for improvements.