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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 | 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

Analytics
Jennifer Robinson 0
From insight to action: Why intelligent decisioning matters in the public sector

Raise your hand if you’re using data and AI, but are as busy as ever. If that sounds familiar, you’re not alone.  Many employees are still weighed down with high volumes of manual processing despite having data and analytics tools. For some, the workload has even increased as analytics and AI generate more information that requires review and

Fraud & Security Intelligence | Innovation | Predictions
Liz Goldberg 2
Fraud at scale: Trends the public sector cannot ignore

Fraud targeting public sector programs has entered a new phase. Sophisticated fraudsters, armed with AI, are depleting public sector budgets and damaging trust in government – and that’s a reality governments must face. What was once largely opportunistic and fragmented has become organized, industrialized and increasingly cross-border. Fraudsters no longer

Analytics | Artificial Intelligence
Thorsten Hein 0
Valuable customers? Insurers toe the line with agentic AI

Agentic AI has been heralded as a top tool for efficiently orchestrating customer engagement activities at insurance companies. It can: Automate repeatable, rule-based processes that affect customer experience (think claims processing and customer onboarding). Rapidly retrieve disparate data, analyze risks and recommend decisions. Help lower operational costs while keeping humans

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