IBM

Banks want to encourage innovation by extending access to outside developers, but customer data remains vulnerable while in use by an application.

As robotic process automation expands into day-to-day lending operations, IBM is teaming up with UiPath, a startup that specializes in the new technology.

Fintechs are developing data-crunching, automated products that seek to help banks precisely calibrate capital levels. The banks' goal is to pass stress tests while maximizing returns to investors.

One of the few bright spots in Ingenico’s sagging revenue performance last year was double-digit growth within its global e-commerce unit, where it’s been experimenting with chatbots.

Bank and credit union regulators issued a statement giving institutions the go-ahead to try artificial intelligence and other emerging tech to detect money laundering. It's just what some institutions have been waiting for.

Promontory Financial Group CEO Eugene Ludwig says AI tools can remove the risks — and discrimination — involved in opening the U.S. financial system to newcomers.

The merger could help make open source and cloud computing more commonplace at banks. But it may have an unintended consequence as well.

Banks should work to shield some customers who may otherwise be flagged or blocked by AI-powered safeguards, and consider using alternative data to expand services to the underbanked.

IBM claims that by monitoring customer behavior first and foremost, banks can make suspicious activity reporting far more accurate.

Banks that have decided to use Hyperledger Fabric now have a place to find apps that run on it — apps that someone else has tested. The store, LedgerConnect, is also meant to give vendors a way to distribute their wares to banks.