Opinions

Over the next few weeks, U.S. businesses with online platforms might be tempted to relax fraud controls to free up potential friction – they shouldn’t. It could mean major fraud hits.

Many new artificial intelligence and machine learning methods used for underwriting are not fully equipped to predict defaults.

High-tech self-service channels can help credit unions effectively and efficiently meet members' needs during a time of social distancing.

Big data graph analytics allow you to “drill down” into complex interrelationships among organizations, people and transactions, says TigerGraph's Todd Blaschka.

Online platforms and apps can be utilized to quickly support small businesses and consumers facing unexpected financial hardship.

Heritage financial institutions that don’t support emerging embedded payments and banking risk further erosion of younger cohorts and losing material franchise value to fintechs, challenger or neo-banks equipped to originate and service accounts at the edge of partner networks, say payment consultants Richard Crone and Heidi Liebenguth.

In a scenario where employees regularly and accurately track and report their business expenses, this continuously updated data helps businesses make intelligent decisions quickly, says Fyle's Yash Madhusudan.

A managed services approach can help payment firms and fintechs pick the best open source projects, says Asset Control's Mark Hermeling.

The Comptroller's Office has provided banks with guidance on how to structure relationships with data aggregators. Now the bureau needs to focus on the bank-consumer connection.

Taking the time to consider which technology to adopt for the new, expanded organization can be a critical success factor in the long run, says Bottomline Technologies' Jessica Cheney.