Predictive analytics

U.S. fintechs attracted $5.8 billion in the fourth quarter as institutions sought an AI edge.

In a move rare for the industry, the bank bought a team of data scientists to bolster its artificial intelligence efforts in areas including product recommendations and fraud prevention.

Banks are increasingly investing in technology that will enable them to deliver highly personal and customized communications with customers.

Separate apps for banking and PFM are too much for most customers to handle, so the Canadian bank is adding automated advice and savings to mobile banking — and it’s relying on artificial intelligence and predictive analytics to make it all work.

It also plans to deploy the startup’s technology that analyzes data and offers predictive advice.

Wells Fargo is piloting features that could help customers boost savings or plan for a trip.

At the Credit Union Analytics Summit held outside Seattle, CU Journal asked attendees to identify the biggest challenges the movement faces when it comes to data analytics.

Experts shared insight and strategies into collecting, analyzing and using big data at the Credit Union Analystics Summit.

More and more banks are using advanced geographic information systems to help make decisions around branch consolidation, lending in low-income communities, monitoring fraud and even deploying talent.

Banks want and need to rival tech giants in their use of customer analytics. Some think artificial intelligence is the key to making it happen.