New data finds $33 trillion in U.S. homes are at a major risk from fire, flood and wind. These metro areas face the highest-valued properties at risk.

The field of insurance risk management is undergoing a major transformation, thanks to advancements in data analytics. Rakesh Maltumkar, an industry expert, explores how machine learning, natural ...

Jerry Layden, CEO of CyberSaint, a leading cybersecurity company dedicated to empowering companies to manage cyber risk with ...

Before organizations can securely implement AI into their infrastructure and technological offerings, there are several ...

A new study published in Nature Medicine demonstrates that artificial intelligence can identify adolescents at high risk for serious mental health problems before symptoms become severe. This ...

Researchers are suggesting a more comprehensive approach for identifying at-risk wildlife populations -- such as caribou -- based on individual movement patterns. The article uses a long-term dataset ...

This study develops a simple, effective model to predict arthritis risk, aiding early detection and intervention strategies.

Available Airgapped and On-Prem for Maximum Security H2O.ai’s Model Risk Management capabilities are now available as part of Enterprise h2oGPTe, supporting airgapped and on-premise deployments to ...