Artificial Intelligence

Artificial Intelligence | Data for Good
Heather Williams 0
Behind every data point is a person: Turning insight into impact with the Kay Yow Cancer Fund

How do you make sure every dollar, program and partnership creates the greatest possible impact? Surprisingly, this question first came up around our Thanksgiving dinner table last year. My sister-in-law, Paula, works for the Kay Yow Cancer Fund, an organization dedicated to supporting underserved women facing cancer through research, education

Artificial Intelligence | Predictions
Heather Trimble 0
How to measure success in value-based care

For years, health care leaders have agreed on the promise of value-based care. Align incentives. Improve outcomes. Reduce unnecessary utilization. Create a better experience for patients and providers. But in the U.S. commercial health care market, agreement on the promise has not always produced agreement on the proof. Health plans,

Artificial Intelligence | Risk Management
Sarah Myers 0
Ready to turn AI into impact? Here’s what leaders need to get right first.

Organizations getting real value from AI are not simply investing more. They’re building stronger foundations across strategy, data, governance, adoption and measurement. Here’s what successful AI leaders do differently.   Most SMBs are investing in AI, running pilots and experimenting with new use cases. Yet only 9% have fully embedded AI

Artificial Intelligence | SAS Events
Marinela Profi 0
Why enterprise AI needs more than LLMs

The conversation around AI agents has moved remarkably fast. Just two years ago, organizations were experimenting with generative AI through chat interfaces and copilots. Today, many are exploring autonomous and semi-autonomous agents capable of reasoning, making decisions, interacting with systems and executing business processes. As organizations look beyond that, they’re

Artificial Intelligence | SAS Events
Miles Elliott 0
Why biodiversity is becoming a financial risk

For years, biodiversity has largely been viewed through an environmental lens. But for financial institutions, it's increasingly becoming a business issue. When ecosystems deteriorate, businesses that depend on them become more vulnerable. Crop yields can decline. Revenue becomes less predictable. And for banks and lenders, that means financial risk may

Artificial Intelligence | Cloud | Innovation | Risk Management
Smriti Rao 0
What comes after the AI investment?

Organizations have spent the past several years building the foundations for AI. They’ve invested in cloud infrastructure, data platforms, copilots and, increasingly, AI agents. Now comes the harder question: What happens when those investments begin influencing real business decisions? Moving AI from experimentation into everyday operation raises the stakes. Organizations

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