The business intelligence ( BI ) and data science ( BI ) triumvirate SAS unveiled a number of releases aimed at utilizing AI at the SAS Innovate event that I am attending this week in Orlando, Florida.
improving the AI and SAS Viya program
The SAS Viya software now includes the following characteristics:
- A stable synthetic data machine called SAS Data Maker simplifies processes and saves resources by helping organizations address data protection and scarcity issues. It incorporates technologies from Hazy, a subsequent acquirer of artificial data. It will usually be accessible in 2025’s second quarter.
- SAS Viya Intelligent Decisioning facilitates the creation and deployment of AI agents that strike a balance between AI freedom and human presence. It is currently accessible.
- SAS Managed Cloud Services: SAS Viya Requirements items select SAS Viya materials for small and medium-sized businesses to lower the barrier of entry by providing SAS Viya in a small, out-of-the-box held managed services.
- An AI-driven verbal aide called SAS Viya Copilot is integrated directly into the SAS Viya system. It provides script support for logical, business, and business tasks for developers, data scientists, and enterprise users as a personal associate. The second quarter of 2025 will see public presence.
SEE: SAS Innovate Keynote: GenAI, Agentic AI, and Goodbye, GenAI, hello?
incorporating business AI with management
Kathy Lange, research director for AI Software at IDC, said that SAS is evolving its method and investment to take into account a wider ecosystem of consumer personalities, preferences, and technologies within an company’s AI systems stack. SAS continues to develop products that simplify and manage the Artificial life cycle and help businesses make better business decisions more quickly.
- Businesses can use AI Governance Map to help them determine their present level of AI leadership across four different domains. This region of AI is expanding. Organizations are realizing the need to set plan, guidelines, and a safe and cooperative platform for GenAI in particular as they utilize AI and some employees mis-implement it by exposing sensitive data to outdoor eyes.
Every major organization is dealing with the reality that AI is being used in its operations without proper oversight, according to Reggie Townsend, vice president, SAS Data Ethics Practice. If things go wrong, a policy is needed with clear lines drawn for both decision-making and remediation measures laid out.
expanding the use of modeling and simulation in the industry
SAS is investing in sector-specific simulations and immersive models to aid businesses in using AI-enhanced tools to improve operational performance.
- To add more detailed simulations in 3D using Epic RealityScan, a mobile app created by Epic, the digital twins from SAS have been enhanced with GenAI and AI technology and combined with Unreal Engine ( UE) from Epic Games.
- A particular labor- and time-consuming process that can drag business down is addressed by AI models. These pre-ordered models are either ready-to-go or are designed to be customized and make model training easier based on customer data. Among the ones that are currently available are:
- Document Analysis
- Medication Adherence Risk in Health Care.
- Strategic Supply Chain Optimization in Manufacturing.
- Payment Integrity in the Public Sector for Food Assistance.
- Sales tax compliance
- Cross-industry: AI-Driven Entity Resolution.
Creating trustworthy AI agents at a global scale
SAS is focusing on the development of AI agents that operate reliably and within clear ethical limits as part of its platform strategy.
- Organizations are given the ability to design, deploy, and scale AI agents on the SAS Viya platform through SAS Intelligent Decisioning. Deterministic analytics and large language models ( LLMs) are combined to create AI agents with more precise and reliable outcomes. Based on task complexity, risk, and business objectives, the appropriate level of AI autonomy can be determined. While humans provide oversight, ethical judgment, and strategic direction, some AI agents can perform routine, data-driven tasks independently. A built-in governance framework ensures compliance with ethical and legal standards, safeguards data privacy, and supports business values.
Trust and explainability in AI governance are emerging as key distinguishers among tech vendors as organizations transition to open, interoperable AI ecosystems across multi-cloud and hybrid environments, according to Tiffany McCormick, research director, IDC, director, Digital Business Models and Monetization. With a clear commitment to ethical rigor and differentiated execution in AI decision-making, SAS is taking industry-leading steps to address the growing demand for agentic AI.
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