As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

CEO of InfluxData, a leading time series platform, board member for One Heart Worldwide and board advisor for Lucidworks and The Fabric. In the current global business landscape, data-driven ...

Predictive analytics has played an important role in helping colleges and universities support students. But the pandemic has deeply changed how students engage with faculty members and their ...

Can predictive analytics support labor cost forecasting by improving staffing and aligning resources with patient demand in health systems?

You have /5 articles left. Sign up for a free account or log in. Predictive models are used across the student life cycle in higher education, to gauge yield in ...

Companies reliant on complex algorithms to gauge customer demand, set prices or fine-tune supply chains are putting less weight on data generated during the coronavirus pandemic that many consider to ...

Predictive analytics involves using data, statistical algorithms and artificial intelligence to anticipate future outcomes, trends, behaviors and events based on historical customer data. This ...

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 ...