Over the last decade, there has been at least a 15% decrease in branch locations across the US as financial institutions have prioritised modernising their digital offerings for customers and clients ...

In today’s competitive landscape, digital-first challengers and fintech companies have expanded customer options, making loyalty less secure. This is why customer retention strategies in banking are ...

Kinil Doshi is a senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. Advances in technology have played a crucial and welcomed role ...

It's Dmitriy from TIMVERO. Today we are starting our series of articles about data usage, AI/ ML modeling, and analytics in banking. First one is going to be about issues with data availability. So, ...

1. What is predictive analytics? Predictive analytics is a method of using data to make predictions about future events or behavior. It can be used in a number of different fields, including marketing ...

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...

“The banking landscape has fundamentally shifted from being a place where people go, to something people do. We have moved past the era of pure product-driven banking into an era of hyper-personalised ...