In today’s digital world, fast decision making is king, and banks are finding that being able to automate their operations is a critical tool in competing for more market share.
Banks need to create even stronger AI strategies in the near future in order to deal with the rapidly changing regulatory environment and customer demand.
Let’s take a look at a few of the most important ways banks are using analytics to improve their operations and stay competitive.
Big data had a big year in 2016. Several key trends emerged, some in line with predictions made at the beginning of the year and some unexpected developments.
What does the future of financial technology hold?
Let’s take a look at some do’s and don’ts that financial lenders need to keep in mind during their risk-based pricing activities.
Banks that take advantage of data analytics become armed with crucial information that helps them make more efficient, effective decisions.
Why do banks need to consider risk-based pricing solutions in this new age of data analytics?
Risk management is a huge component to financial lending, which is why it is rather paradoxical that so many companies choose to use spreadsheets as a financial modeling tool to manage risk-based pricing.
Brilliance Financial Technology was recently recognized by CFO Tech Outlook as a Top 10 finance technology solution provider for 2016.