Trustworthy AI

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From predicting risk to changing behavior: Rethinking medication adherence with agentic AI

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Medication non‑adherence remains one of health care’s most persistent and expensive challenges. Across chronic conditions, only about half of patients take medications as prescribed, even when effective treatments are available. The consequences are significant: disease progression, avoidable hospitalizations, increased mortality, and hundreds of billions of dollars in preventable health care […] The post From predicting […]

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SAS Innovate 2026 Day 2: Where trusted AI meets real-world decisions

ai, AI (Artificial Intelligence), Artificial Intelligence, innovation, SAS 50th anniversary, SAS Hackathon, SAS Innovate, SAS Viya, Trustworthy AI

If Day 1 asked what organizations should scale with AI, Day 2 showed what that looks like when trusted technology, industry expertise and human judgment come together in the moments that matter. Day 2 of SAS Innovate 2026 moved quickly from vision to application. Across banking, health care and life […] The post SAS Innovate

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Human ingenuity is still the engine behind AI

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There’s a question floating around in many conversations, leadership meetings, hiring decisions, at home and in the way companies are quietly restructuring. Most people aren’t saying it directly, but it’s there. SAS CTO Bryan Harris did say it directly, which set the stage for this genuinely thought-provoking moment. “Will people […] The post Human ingenuity

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Overcoming the AI trust dilemma: Key strategies for public sector leaders

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Few words stir both excitement and fear quite like AI. Similar to a carnival rollercoaster, some people lean into the thrill, while others clutch their safety bar. The promise of AI seems limitless, but so does the risk of going off the rails. This dynamic is playing out across government, […] The post Overcoming the

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When risk moves faster: What government procurement needs next

ai, AI (Artificial Intelligence), Artificial Intelligence, innovation, procurement, SAS for Procurement Integrity, scenario-level triage, trust, Trustworthy AI

It’s 5:05 p.m., and a procurement analyst is staring at a new 47-event alert with no clear sense of which flags are truly high-risk. Across the hall, a compliance lead has just uncovered a low-risk event that sat untouched in a queue for 19 days. These moments capture a broader […] The post When risk

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Agentic AI in health care and life sciences: autonomy, accountability and the architecture of trust

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With all the change that’s happened in the past decade, a few key things remain the same across health care and life sciences. Clinical trials remain the engine behind every new therapy, care delivery systems determine whether patients receive timely and effective treatment and health care payers must steward finite […] The post Agentic AI

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AI risk is not a black swan – it’s a flock of grey swans

ai, AI (Artificial Intelligence), AI Ethics, AI Governance, Artificial Intelligence, Equity and Responsibility, EU AI Act, Responsible AI, trust, Trustworthy AI

We see headlines about misbehaving chatbots, fictitious reports, and systemic fairness issues. Yet AI risks are neither unexpected nor unforeseeable. They stem from a combination of well-known but underestimated risks across ethics, data security and legal topics. These are not black swans, but grey swans. Recognizing this shift in perspective […] The post AI risk

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Trust and talent: The foundation for responsible AI adoption

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Every so often, new technology hits like an earthquake. It starts with faint rumblings, then suddenly creates an irreversible shift in the landscape. Social media was one of those moments. What began as an experiment quickly became a cultural engine, reshaping how we communicate, consume information and do business. Its […] The post Trust and

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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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New perspectives for innovation with quantum AI

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Now that AI has entered the business world, I believe the next stage involves combining AI technology with significantly greater computing power. Quantum AI represents the next step, opening up exciting prospects for organizations by enabling speed, precision, efficiency and innovation in areas where classical technology reaches its limits. Traditional […] The post New perspectives

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