SAS Retrieval Agent Manager

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AI agents are reshaping government. What should leaders know?

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Governance, Artificial Intelligence, Generative AI, innovation, Retrieval-augmented generation, SAS Retrieval Agent Manager, Trustworthy AI

AI agents are moving beyond individual productivity and into government operations.  According to Gartner, at least 80% of governments will deploy AI agents to automate routine decision-making, enhancing efficiency and service delivery by 2028. Because of this, government leaders are challenged to determine where they can deliver value with AI agents while maintaining public trust. Their […] The post AI agents […]

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What leaders learn when AI meets reality

agentic ai, ai, AI (Artificial Intelligence), AI readiness, Artificial Intelligence, Future of Work, Generative AI, IDC study, innovation, Retrieval-augmented generation, SAS Innovate, SAS Retrieval Agent Manager

The global AI market feels more Orwellian than Dickensian these days, with headlines hitting our feed like AI contributed “basically zero” growth to US GDP (2025). This latest revelation represents a series of increasingly worrisome disappointments: 95% of GenAI pilots fail (MIT), Amazon’s Kiro agent sparks 13-hour outage by deleting […] The post What leaders

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Reviving the promise of AI with RAG, data and agentic

2026 trends, agentic ai, ai, AI (Artificial Intelligence), AI readiness, Artificial Intelligence, Generative AI, IDC study, innovation, insurance trends, Retrieval-augmented generation, SAS Innovate, SAS Retrieval Agent Manager

A quick search through headlines reveals a range of AI-related disappointments. Consider that 95% of GenAI pilots fail, according to MIT. Amazon’s Kiro agent recently sparked a 13-hour outage by deleting a production environment. And we can’t forget that the resource and energy strain from a new wave of AI […] The post Reviving the

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How to modernize your data estate for AI success

2026 trends, agentic ai, ai, AI (Artificial Intelligence), Artificial Intelligence, data estate, data lakes, data quality, innovation, Retrieval-augmented generation, SAS Retrieval Agent Manager, Synthetic Data

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

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Why predictive maintenance needs more than retrieval

ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, Generative AI, innovation, Large Language Models, predictive maintenance, Retrieval-augmented generation, SAS Retrieval Agent Manager

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

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Unlocking agentic AI potential with MCP tools in SAS Retrieval Agent Manager

agentic ai, ai, AI (Artificial Intelligence), AI Governance, APIs, Artificial Intelligence, Enterprise AI, LLM Integration, mcp, model context protocol, operational ai, RAG, Retrieval-augmented generation, SAS Retrieval Agent Manager, Scalable AI, Tool Calling, Trustworthy AI, Uncategorized, workflow automation

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.

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The strategic imperative: Governance for retrieval-augmented generation

agentic ai, AI Governance, Artificial Intelligence, Equity and Responsibility, Generative AI, Retrieval-augmented generation, SAS Retrieval Agent Manager

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

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