SAS Unveils RAM: A Game-Changer for Unstructured Data

RAM tackles the 80% of enterprise data that's unstructured. It's set to transform workflows and decision-making.

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2025 October 8 . 5:16 PM

1 min read

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SAS Unveils RAM: A Game-Changer for Unstructured Data

SAS, a global leader in data and AI, has introduced a revolutionary tool in Cary, North Carolina. SAS Retrieval Agent Manager (RAM) is designed to transform unstructured data within a company's knowledge base into quick and relevant answers, supporting better business decisions across various industries.

Unstructured data, such as text and images, makes up more than 80% of enterprise data, growing at a rate of 50% to 60% annually. This vast amount of data presents a significant challenge and opportunity for Generative AI (GenAI).

RAM, built on the retrieval augmented generation (RAG) framework, tackles this issue head-on. It ingests and processes unstructured documents, evaluates and selects the best configurations for rapid interaction, and supports the use of GenAI services like large language models (LLMs) and vector databases. Unlike other GenAI approaches, RAM is not code-heavy or complex, ensuring consistent results.

In manufacturing, RAM enhances predictive maintenance. It retrieves relevant repair and maintenance information and generates clear work orders for engineers and technicians. This streamlines workflows and improves efficiency.

SAS Retrieval Agent Manager (RAM) is set to revolutionize how organizations tap into their unstructured data. By providing quick and relevant answers, it enables faster decisions, stronger relationships, and better outcomes. RAM's agentic AI layer automates complex workflows, keeping data and LLMs separate for a trustworthy knowledge service. This new AI offering from SAS is poised to transform businesses across industries.