Predictive analytics is not about gazing into a crystal ball – it's about intelligently using the information you already have to make accurate predictions as to your customers' future behaviour and ...

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 ...

Predictive analytics in financial forecasting analyzes past and present data to improve the accuracy of planning and budgeting. Historically, accountants have depended on manual spreadsheet analysis ...

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, ...

Business leaders today are navigating an era of complex uncertainty, where risk moves faster than traditional oversight can keep up. From global supply chain volatility to internal compliance ...

Large language models (LLMs) have changed how people think and talk about AI. As legal teams become increasingly open to using AI in eDiscovery, it helps to get a little more familiar with what LLMs ...

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 ...

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: ...