SAS Decision Builder generally available on Microsoft Fabric

"SAS has made its decision intelligence solution SAS Decision Builder generally available on Microsoft Fabric. The tool combines multiple AI models, rules, and logic into a single workflow for decision-making. The launch of SAS Decision Builder on Microsoft Fabric was announced earlier. Now, general availability is a reality. Users can use the solution to combine AI models and business rules into a workable workflow. This should help organizations move from data to action more quickly."

"The integration with Microsoft Fabric brings SAS' decisioning capabilities to Fabric customers. They gain access to decision-making flows via an accessible low-code editor. In it, they combine machine learning, forecasting, and optimization with large language models. The platform works directly with enterprise data stored in Microsoft OneLake, Fabric's unified data lake. In addition to Decision Builder, users can also leverage other Microsoft Fabric functionalities, including Power BI for reporting."

"Automation plays a role in deployment. Decisions can be rolled out quickly via scalable containers. This makes the tool suitable for cross-industry use cases that require batch or real-time decisioning. "Our deep integration with Microsoft Fabric helps customers bring their AI models into production to make real-time decisions that have an actual impact on their business and bottom line," said Shadi Shahin, Vice President of Product Strategy at SAS."

SAS Decision Builder is now generally available on Microsoft Fabric. The tool combines AI models, business rules, forecasting, optimization, and large language models within a single low-code decisioning workflow. The solution accesses enterprise data in Microsoft OneLake and integrates with Microsoft Fabric services such as Power BI for reporting. Decision flows run inside the secure Fabric environment with traceable data flows and built-in governance. Deployments use scalable containers for batch or real-time decisioning. The platform aims to close the last-mile gap by enabling business analysts and domain experts to design, integrate, and deploy models and decisions without extensive technical skills.

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