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DeeperML
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SAS is making a significant push towards accountable AI agents, emphasizing ethical oversight and governance within its SAS Viya platform. At SAS Innovate 2025 in Orlando, the company outlined its vision for intelligent decision automation, highlighting its long-standing work in this area. Unlike other tech vendors focused on quantity, SAS CTO Bryan Harris stresses the importance of decision quality, arguing that the value of decisions to the business is the key metric. SAS defines agentic AI as systems that blend reasoning, analytics, and embedded governance to make autonomous decisions with transparency and human oversight when needed.
SAS views Large Language Models (LLMs) as valuable but limited components within a broader AI ecosystem. Udo Sglavo, VP of applied AI and modeling R&D at SAS, describes the agentic AI push as a natural evolution from the company's consulting-driven past. SAS aims to take its extensive IP from solving similar challenges repeatedly and incorporate it into software products. This shift from services to scalable solutions is accelerated by increased customer comfort with prepackaged models, leading to wider adoption of agent-based systems.
SAS emphasizes that LLMs are only one piece of a larger entity, stating that decision quality and ethical considerations are paramount. Bryan Harris noted that LLMs can be unpredictable, which makes them unsuitable for high-stakes applications where auditability and control are critical. The focus on accountable AI agents ensures that enterprises can deploy AI systems that act autonomously while maintaining the necessary transparency and oversight.
References :
SAS views Large Language Models (LLMs) as valuable but limited components within a broader AI ecosystem. Udo Sglavo, VP of applied AI and modeling R&D at SAS, describes the agentic AI push as a natural evolution from the company's consulting-driven past. SAS aims to take its extensive IP from solving similar challenges repeatedly and incorporate it into software products. This shift from services to scalable solutions is accelerated by increased customer comfort with prepackaged models, leading to wider adoption of agent-based systems.
SAS emphasizes that LLMs are only one piece of a larger entity, stating that decision quality and ethical considerations are paramount. Bryan Harris noted that LLMs can be unpredictable, which makes them unsuitable for high-stakes applications where auditability and control are critical. The focus on accountable AI agents ensures that enterprises can deploy AI systems that act autonomously while maintaining the necessary transparency and oversight.
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References :
- www.aiwire.net: Reports on SAS's push to make AI agents accountable, highlighting the company's focus on ethical oversight.
- BigDATAwire: Informatica Goes All-In on AI Agents for Data Management
Classification:
- HashTags: #AgenticAI #AISustainability #EthicalAI
- Company: SAS
- Target: Enterprises
- Product: Viya
- Feature: Accountable AI Agents
- Type: AI
- Severity: Informative