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402.74 million terabytes of data are generated every day. That’s a staggering number. As more organizations gravitate toward cloud-native, open-source-friendly architectures integrated with an ecosystem, the demand for explainability from AI models trained on this data mounts. So does pressure to show ROI from AI investments. Data is the source […] The post How to […]
How to modernize your data estate for AI success Read More »
Manufacturers operate some of the most complex machinery on the planet – from CNC machines and industrial robots to gas turbines with over 20,000 components. Keeping these assets running smoothly is mission-critical, yet maintenance teams are often buried under vague alerts, scattered documentation and time-consuming root cause analysis. Much of […] The post Why predictive
Why predictive maintenance needs more than retrieval Read More »
Learn how integrating the Model Context Protocol (MCP) into SAS Retrieval Agent Manager transforms retrieval-augmented generation from a passive information system into a governed, scalable, and action-oriented enterprise AI platform capable of executing real business workflows. The post Unlocking agentic AI potential with MCP tools in SAS Retrieval Agent Manager appeared first on SAS Blogs.
Unlocking agentic AI potential with MCP tools in SAS Retrieval Agent Manager Read More »
Generative AI (GenAI) has seemingly permanently shifted the trajectory of enterprise strategy, offering a way to transform massive amounts of unstructured data into actionable, contextual intelligence. However, as organizations move past pilot projects and scale this technology, they run headfirst into a widening gap between the potential of AI and […] The post The strategic
The strategic imperative: Governance for retrieval-augmented generation Read More »
