IoT Innovators: SAS’s Agentic AI Approach with RAM and MCP

bkooman — Fri, 14 Nov 2025 19:36:15 GMT

Don’t miss IoT Innovators Episode 12, where SAS showcases the future of Agentic AI with enterprise-grade solutions built for trust, governance, and real-world impact.

SAS’s Agentic AI strategy gives you production-ready agents you deploy quickly and securely. Governance is built in. Every system is auditable, transparent, and explainable, so you achieve ethical autonomy with reliable decisioning. SAS Viya supports agentic workflows, letting you buy, connect, or build solutions using prebuilt models, Model Context Protocol (MCP) integration, or custom agent creation.

Retrieval Agent Manager (RAM) powers Retrieval Augmented Generation workflows. You retrieve relevant content from your documents and augment prompts to LLMs, with no training on your data, privacy is protected. RAM’s no-code ingestion speeds integration, supports cloud or on-premises deployment, and works with multiple LLM and vector DB providers. Built-in pipelines for vectorization and evaluation boost accuracy, and you interact via chat UI, API, or autonomous interfaces.

Model Context Protocol (MCP) standardizes integration between LLMs and enterprise tools, eliminating complexity with a scalable, open protocol. MCP preserves context across agent tasks, enabling persistent workflows and multi-agent collaboration. You improve decision quality and auditability by integrating with SAS Information Catalog, and developer guidance is clear for efficient solution deployment.

Hear how SAS’s unified strategy accelerates customer adoption and delivers clear value. Learn how governance challenges are solved with trust and transparency, and how customer feedback shapes the roadmap. Get insights on scaling agentic systems and overcoming integration hurdles.

Looking ahead, SAS is delivering intelligent agents that balance autonomy with oversight, providing transparent and trustworthy outcomes. AI-driven workflow creation, intelligent templates, and Copilot productivity features make advanced analytics accessible to everyone. Governance, explainability, and user-friendly interfaces reduce adoption barriers, so you move from pilot to production faster. SAS is expanding into manufacturing, healthcare, and urban planning, driving practical, scalable impact.

Watch the episode now and see how you can leverage SAS’s agentic AI framework, RAM and MCP for secure, scalable, intelligent AI deployments. Stay engaged with SAS’s evolving ecosystem to drive responsible growth and innovation.

Click here to watch the full episode.

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IoT Innovators: SAS’s Agentic AI Approach with RAM and MCP