The next chapter of AI is about scaling that judgment, governing at speed, and turning trust into that competitive advantage, he emphasized.
Getting to the right enterprise data
Enterprise data can be fragmented across many different ecosystems (on-prem, in legacy infrastructure, or in private or public clouds), noted SAS industry market lead Alyssa Farrell. Beyond that, she said, “[enterprises] have low trust in the data itself, which is leading to low trust in decisions.” Further, performance constraints can hamper AI progress.
To address these issues, SAS today announced a targeted refresh of SAS Data Management, its cloud-native portfolio built on the Viya platform, adding or expanding its AI-ready data management, governance by design, agentic AI and copilots, and cloud-native analytic acceleration. It provides lineage, transparency, and control capabilities within workflows where data is accessed, prepared, and activated, Farrell explained.
