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 ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

QuadSci, the most predictive and prescriptive AI for customer intelligence, has been selected as the winner of the 2026 Machine Learning Company of the Year award in the 9th annual AI Breakthrough ...

Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, ...

Before 2017, Zuckerberg San Francisco General Hospital – an urban, academic safety-net hospital within the San Francisco Health Network – struggled with some of the highest 30-day readmission rates in ...

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. Predictive analytics is a method of data analysis used within ...

Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...