I’m excited to head up the predictive analytics team within the HDR consulting group. However, I’m not sure people know what predictive analytics is, or who does it, or what it’s used for. As HDR’s ...

Health insurer Aetna entered a value-based agreement with pharmaceutical company Merck and collaborated on a predictive analytics model to identify potential service populations. The value-based ...

The construction industry stands at a crossroads. With skilled labor shortages, rising costs, and increasing project complexity, traditional approaches to project management are showing their ...

Thilakavathi Sankaran is redefining enterprise strategy by replacing stale, retrospective reporting with AI-driven predictive ...

Large language models can act as predictive models. Here's an example for misinformation detection—and an introduction to savings curves. Not all business problems are best addressed with generative ...

Rising rehospitalization rates among skilled nursing facility (SNF) residents are not just costly — averaging over $15,000 per readmission — they hinder clinicians’ ability to deliver efficient and ...

In today’s rapidly evolving retail landscape, customer satisfaction hinges on the ability to not just meet expectations but to anticipate them. For many companies, smart shelves and predictive ...

RapidMiner, an easy-to-use Modern Analytics platform, today announced significant updates to the most comprehensive advanced analytics offering on the market today. In a world where data lakes are ...

The algorithms often used by colleges to predict students’ likelihood of graduating can produce less accurate results for Black and Hispanic students compared to their peers, a new study says.

Predictive models are used across the student life cycle in higher education, to gauge yield in admissions as well as retention and graduation initiatives, as campus leaders look to understand what ...