Blogs

Innovation

Read how data-driven insights can help organizations uncover new approaches to their key challenges and deliver new innovations faster.

SAS Events

Ginny InmanJune 29, 2026 0

What attendees said about SAS Innovate

SAS Innovate 2026 delivered an engaging experience for attendees, blending inspiring keynotes, practical learning and meaningful networking in a setting that celebrated innovation and connection. Through keynote presentations, hands-on learning and conversations with peers, attendees left with fresh ideas, stronger relationships and renewed excitement about what’s possible with data and

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Artificial Intelligence | Data Management | Innovation

Jennifer RobinsonJune 26, 2026 0

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

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Government

Artificial Intelligence | Innovation

Albert QianJune 16, 2026 0

Decision intelligence: Why insights alone don’t create value

Most organizations are struggling to use AI insights. Even as it’s been easier than ever to produce predictions, recommendations and scores, many data science and business teams end up with a stockpile of unused information that doesn’t drive meaningful transformation. Decision intelligence helps organizations bridge that gap by embedding insights

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Artificial Intelligence | Innovation | Machine Learning

Sophia RowlandJune 15, 2026 0

AI reflects the people who build it

Today, your life is being affected by decisions made by AI and machine learning systems. These technologies influence everything from hiring and lending decisions to the content you see online. When those decisions produce harmful outcomes, many people worry about the technology itself. But the greater risk beyond AI becoming

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Artificial Intelligence | Data Management | Predictions

Jarno LindqvistJune 12, 2026 0

Why AI projects fail before the model ever runs

AI readiness is often framed around models, technology and talent. In practice, it starts with something more fundamental: trusted data. Without clean, integrated and governed data, even the most sophisticated AI systems can produce unreliable results and erode confidence across the business. I often meet with data industry professionals and

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Analytics

Grace GuJune 11, 2026 0

Value-based cost analytics is reshaping health system engagement

Under value-based care contracts, health systems are more responsible for both patient outcomes and the total cost of care. That means a preventable readmission, a delayed diagnosis or a missed follow-up appointment can affect not only patient health but also financial performance. To succeed, organizations need a clearer understanding of

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Health Care | Life Sciences

Analytics | Data Management | Innovation

Susan LendertsJune 10, 2026 0

The hidden cost of inaccessible clinical analytics

The platforms we choose don't just shape how data flows. They shape how people work. In clinical analytics, those decisions affect far more than technology. And in clinical development, a platform that only works for part of your team isn't a technology problem. It's a leadership problem and one every

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Health Care | Life Sciences

Artificial Intelligence | Predictions | SAS Events

Sarah MyersJune 5, 2026 1

What leaders learn when AI meets reality

Most leaders do not have an AI problem. They have a readiness problem. In many small and midsized businesses, pilots are underway and use cases are defined. But when leaders step back and ask the harder question, "Is AI actually paying off?", the answer is often less clear. This gap

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Data Management | Innovation | Predictions

Chris McHargueJune 4, 2026 0

Could “phantom identities” be distorting your AI decisions?

A duplicate customer record. A missing zip code. A workaround someone did years ago. On their own, these don’t seem like big issues. But together, they create inconsistencies that have a ripple effect – often with major consequences. Here’s a truth that we can all agree on: If your data

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Banking

Artificial Intelligence | Innovation | SAS Events

Franklin ManchesterJune 3, 2026 0

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

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Insurance

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