United States, April 27 -- As enterprises race to operationalize AI, many are finding progress constrained by fragmented data environments, manual data engineering and governance models not designed to scale with the demands of AI?driven decision?making. While AI capabilities have advanced rapidly, the data foundations required to deploy them safely and reliably have not kept pace - leading to delayed projects, increased risk and AI initiatives that struggle to move from experimentation to production.SAS today announced a targeted refresh of SAS Data Management - a cloud-native portfolio built on the SAS(R) Viya(R) data and AI platform, designed to help organizations prepare, govern and activate data for analytics, automation and AI. By emb...