Vetting and validating new technology vendors often falls to bankers and marketers who may lack the technical expertise needed to thoroughly understand the presented technology, including whether it will provide the best solution for the bank’s specific needs. It’s easy to overlook red flags and grasp at what might seem like a simple solution. 

The game of cat and mouse between the regulators and banks against money launderers has now moved to a new level – all thanks to the emergence of AI and machine learning technologies. AI and machine learning technologies have been around for some time, but have recently started coming into prominence in the world of financial services. 

Once upon a time, traditional banks could depend on customer loyalty, no matter what. A bank was the one-stop-shop for all things related to consumer finance. Not anymore. Not now that neobanks and fintechs are competing for the same consumers. Although bank customers are reluctant to move their financial business, banks are being increasingly challenged to address their needs first, which is all working out to their advantage.

Many of us struggle with the concept of carrying on a rewarding conversation with a chatbot, but recent improvements in artificial intelligence are making this technology increasingly more valuable to banks around the world. From helping banks to offer targeted customer products and services, to tightening the security of credit transactions, to cutting costs while improving employee engagement, AI’s contributions to making customer service better are too important to ignore.