Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the ...

Statistical risk models face issues of validity as unprecedented events and social phenomena occur. However, artificial intelligence (AI) and machine learning can assist models in maximising accuracy.

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Machines that can learn and adapt marks a massive step forward for computing, but who's teaching them? Computer systems only get smarter when they get data – from where and from whom they get that ...

The sudden and severe economic shocks from the pandemic created model risk challenges, because of the magnitude of behavioural and market changes, and the pace at which these changes occurred.