On the SAS Innovate occasion held this week in Orlando, Florida, that I’m attending, the enterprise intelligence (BI) and knowledge science large SAS unveiled a sequence of releases aimed toward harnessing AI.
Enhancing the SAS Viya knowledge and AI platform
The SAS Viya platform has added the next options:
- SAS Information Maker is a safe artificial knowledge generator that helps organizations sort out knowledge privateness and shortage challenges, whereas simplifying processes and conserving sources. It incorporates know-how from the latest acquisition of artificial knowledge pioneer Hazy. It is going to be usually accessible within the third quarter of 2025.
- SAS Viya Clever Decisioning facilitates constructing and deploying AI brokers that stability AI autonomy and human involvement. It’s accessible now.
- SAS Managed Cloud Companies: SAS Viya Necessities packages choose SAS Viya merchandise for small and midsize companies to cut back the barrier to entry by delivering SAS Viya in a small, out-of-the field hosted managed service.
- SAS Viya Copilot is an AI-driven conversational assistant embedded instantly into the SAS Viya platform. It provides builders, knowledge scientists, and enterprise customers a private assistant that accelerates mannequin improvement and offers code help for analytical, enterprise, and {industry} duties. Normal availability is coming within the third quarter of 2025.
SEE: SAS Innovate Keynote: SAS Says ‘Goodbye, GenAI; Whats up, Agentic AI’
Embedding governance into enterprise AI
“SAS is evolving its technique and portfolio to embrace a broader ecosystem of person personas, preferences, and applied sciences inside an enterprise’s AI know-how stack,” stated Kathy Lange, analysis director for AI Software program at IDC. “SAS continues to develop choices that streamline and automate the AI life cycle and allow organizations to make higher enterprise choices quicker.”
- AI Governance Map helps organizations assess their present AI governance maturity throughout 4 areas to chart the trail ahead. It is a rising space of AI. As organizations implement AI – and a few staff mis-implement it by exposing confidential knowledge to exterior eyes – they’re realizing the necessity to set coverage, tips, and a safe and compliant framework for GenAI specifically.
“Each massive group is coping with the truth that AI is being embedded into their operations however with out correct oversight so governance is changing into a giant deal,” stated Reggie Townsend, vice chairman, SAS Information Ethics Follow. “Coverage is required with clear strains present for resolution making in addition to remediation actions laid out if issues go mistaken.”
Increasing {industry} software by modeling and simulation
SAS is investing in sector-specific fashions and immersive simulations to assist organizations enhance operational efficiency utilizing AI-enhance instruments.
- Digital twins from SAS have been enhanced with AI and GenAI know-how and mixed with Unreal Engine (UE) from Epic Video games so as to add extra detailed simulations in 3D by way of Epic RealityScan, a cellular app developed by Epic, to seize photorealistic renderings of environments and import them into UE.
- AI fashions deal with a particular labor- and time-intensive course of that may drag enterprise down. These packaged fashions come both ready-to-go or are meant to tailor and speed up mannequin coaching on buyer knowledge. These at present accessible embody:
- Doc Evaluation.
- Well being Care: Treatment Adherence Danger.
- Manufacturing: Strategic Provide Chain Optimization.
- Public Sector: Cost Integrity for Meals Help.
- Tax Compliance for Gross sales Tax.
- Cross-Trade: AI-Pushed Entity Decision.
Constructing reliable AI brokers at scale
SAS is aligning its platform technique round agentic AI, specializing in the creation of AI brokers that function reliably and inside clear moral boundaries.
- SAS Clever Decisioning empowers organizations to design, deploy, and scale AI brokers on the SAS Viya platform. Deterministic analytics work at the side of massive language fashions (LLMs) to construct AI brokers with extra exact and dependable outcomes. The suitable degree of AI autonomy may be set primarily based on job complexity, danger, and enterprise targets. Some AI brokers can function autonomously in routine, data-driven duties whereas people present oversight, moral judgment, and strategic path. A built-in governance framework offers adherence to moral and compliance requirements, maintains knowledge privateness, and aligns with enterprise values.
“As organizations evolve towards open, interoperable AI ecosystems throughout multi-cloud and hybrid environments, belief and explainability in AI governance are rising as key differentiators amongst tech distributors,” stated Tiffany McCormick, analysis director, Digital Enterprise Fashions and Monetization at IDC. “SAS is taking industry-leading steps to handle the rising demand for agentic AI, with a transparent dedication to moral rigor and differentiated execution in AI decisioning.”
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