As AI accelerates the pace and proliferation of innovation, the need for AI governance has never been more urgent. Lack of visibility into AI governance puts trust, compliance and successful AI deployments at risk.
To help organisations confidently navigate their AI governance journeys, SAS has launched the AI Governance Map, a resource that helps organisations assess their current AI governance maturity in four essential areas and chart the path forward.
The map is the latest addition to a growing portfolio of AI governance offerings from SAS designed to meet organisations where they are in their AI maturity. From data governance to model monitoring to compliance management, SAS has technologies to complement existing technology investments to help organisations build a full AI governance life cycle.
“We take a pragmatic approach to AI governance, recognising that different organisations are at varying points in their AI governance efforts,” says Reggie Townsend, vice-president of the SAS data ethics practice. “Instead of ripping and replacing something that’s working well, we can fill in the gaps to provide a more comprehensive AI governance system that strengthens trust in AI-driven decisions, simplifies operations and future-proofs AI strategies.”
Industry analysts like IDC and Forrester have validated SAS’ governance capabilities and, for the 11th straight year, Chartis named SAS a category leader in its RiskTech Quadrant for Model Risk Management Solutions, 2024 report. SAS received top marks among all vendors for model governance solutions.
In its vendor analysis, Chartis said SAS demonstrates “a forward-thinking approach to managing models across traditional and emerging domains,” addressing both classical aspects of governance that rely on domain knowledge and the demands of AI and generative AI governance, including “advanced capabilities in ModelOps, SecurityOps, DevOps, orchestration and big data management.”
Chartis also noted: “SAS’ market potential is further amplified by its ability to offer end-to-end solutions. These solutions cover the life cycle, from initial development to ongoing validation, and align with existing infrastructures.”
In highly regulated industries, many organisations already have robust governance measures in place to meet compliance requirements but have additional AI governance needs. To help these customers, SAS offers an AI governance solution for banking, with the analyst-validated SAS Model Risk Management as its foundation. Additionally, SAS has other industry solutions in development.
SAS will soon launch a unified, holistic AI governance solution capable of aggregating, orchestrating and monitoring AI systems, models and agents. Designed for the executive, but useful enough for the data scientist, this offering will align AI with policies, improve operational efficiencies and help organisations navigate their AI journeys confidently.
“AI governance is not just an exercise in risk management; it’s a strategic enabler of faster innovation and helps to ensure that AI is trustworthy,” says Steven Tiell, SAS global head of AI governance advisory. “At its core, AI governance should be viewed not just as a protective measure, but as a driver of growth. To forge ahead, organisations need to identify where the real opportunities lie – and understand how they stack up against their peers.”