Bridging the operational AI gap

Many organizations are moving AI from experimental projects into production, but most lack the operational foundations needed for success. The main barriers are missing integrated data systems, unclear governance, and insufficient dedicated teams, rather than problems with the AI technology itself. Companies using enterprise-wide integration platforms (systems that connect different data sources and applications) are significantly more likely to deploy AI successfully across multiple departments.