your data, systems, and teams are prepared to support intelligent atomation safely and effectively, aseff Foster (Director of Technology and Innovation at Redgate) explains. management context, up from just 15% the year before. Over the same period, the proportion of organizations with no plans to adopt Al has more than halved, falling from In the past year alone,the use of Alin database management has almost tripled - one of the largest year-on-year shifts in the survey. Al is now embedded in the day-to-day work of managing and analyzing data, particularly in large,cloud-based, multi-platform environments - and it's rapidly becoming a standard part of how these organizations manage, analyze, and extract value from their data. Alis already being applied acros a wide range of tasks, including data quality assurance, creating and modifying schemas, optimizing queries, and for performing predictive analytics. Almost every organization reports benefits,from increased database automation and performance improvements,to measurable productivity and cost gains. What stands out in the data, however, is not a lack of awareness about risk - by platform, ownership, and operational practice. As a result, Al is increasing and reused, amplifying existing complexity before consistent foundations are In this context, any manual or inconsistent approaches to database change management and data protection become higher-risk and more expensive. As a result, many of the pressures associated with Al adoption surface downstream as data quality issues, security concerns, and compliance challenges, rather than at the point where data or a schema is first created or enterprises have invested more than $1 million.