Retrieval-augmented generation

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Semantic Knowledge Graph for LLM Agents

Why it matters: See how a semantic knowledge graph for LLM agents slashes hallucinations, adds memory, and lifted answer accuracy from 17 to 54 percent in tests.

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Context Rot in Large Language Models

Why it matters: Context rot makes LLMs fail long before the window fills. See why, how to measure it, and the context engineering fixes that keep answers reliable.

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Health care AI in a regulated world: Why trust matters

Public health systems are under pressure from rising costs, workforce shortages, increasing demand and limited resources. Data and AI can help organizations use their resources more effectively, improve care decisions and deliver better outcomes. But the next phase of health care AI will depend on more than what the technology […] The post Health care

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AI agents are reshaping government. What should leaders know?

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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Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator

Learn how the SAS Agentic AI Accelerator and SAS Viya can be used to build a governed, multi-agent support-ticket solution that combines text analytics, RAG, LLMs, business rules, and human oversight to improve resolution speed, accuracy, and operational efficiency. The post Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator appeared first on

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What leaders learn when AI meets reality

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

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

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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