Machine Learning: Driving Decision-Making At Scale Machine learning (ML) is the beating heart of AI in fintech, enabling systems to identify patterns and make data-driven predictions.

Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants.

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

Scientists develop dynamic landslide prediction method using hydrological and machine learning data by Northwestern University edited by Sadie Harley, reviewed by Andrew Zinin Editors' notes ...