True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...

Predictive modeling has long been an integral part of the sports betting industry. For decades, sportsbooks and service providers have used predictive models when determining the odds of an upcoming ...

If insight arrives after the opportunity to act has passed, it is no longer predictive.The challenge is building systems that ...

This course covers nonparametric modeling of complex, nonlinear predictive relationships in data with categorical (classification) and numerical (regression) response variables. Supervised learning ...

LONDON--(BUSINESS WIRE)--Atto, a leading provider of credit risk solutions using transactional data, is thrilled to announce a strategic partnership with FICO, a global analytics software leader, for ...

LAgent is an open-source AI framework designed to transform large language models into versatile agents capable of executing various tasks. This lightweight framework supports multiple functionalities ...

In this special guest feature, Jane Hendricks, WW Portfolio Marketing Lead at IBM Predictive Analytics, describes a methodology for realizing business value from predictive analytics: start by ...

Everyone wants predictive algorithms to be accurate, but there are different ways to define accuracy. Is it better to have an algorithm that's rarely perfect, but also rarely off by a mile? Or to have ...

Behavioral health crises rarely manifest overnight. For health plans, the warning signs are hiding in plain sight – as data points scattered across disconnected systems, locked in outdated records, or ...