AI & Machine Learning

Banks, insurance companies, asset managers and other industry players need to rethink how they approach financial risk management.

The big question for insurers is – which of the six AI technologies drive the most value for commercial lines?

AI is still very new to insurance, and claims teams are only scratching the surface on how it can be applied for the betterment of all constituents.

Machine learning and AI are incredibly well suited for helping to deal with the masses of data that underwriters now face. Here are five keys.

There are five main concerns when implementing regulatory technology, especially AI technology, in the financial sector.

AI often performs its magic with little insight into how it reached its recommendations. "Explainable AI" makes all the difference.

Machine learning can speed underwriting while reducing costs and providing valuable information on why certain proposals fail.

Insurers should not invest in technology-driven projects; instead, look for use-case-driven projects.