Enables personalized experiences, improved efficiencies, differentiated offerings and enhanced risk management
To meet changing customer expectations for personalized offerings, and to address a more competitive landscape, banks and other financial services companies have taken advantage of rapid changes in technology to kick start their digital transformation journey. However, offering digitized, automated and multi-channel loan operations will soon become “table stakes”. So how can lenders stay ahead of the curve? How can they anticipate the next wave before it hits? Analytics and Artificial Intelligence are fast evolving as the go to technologies for companies looking to personalize customer experience, streamline and automate processes, reduce fraud, manage risks more effectively and reduce security risks. This whitepaper looks into the applications of machine learning and text analytics across the various stages of lending cycle.