Banks need to step away from building in-house financial solutions and instead assemble a range of consumer-driven financial management tools to leverage Banking as a Service (BaaS) and maximize growth opportunities.
Banking as a Service represents another iteration of the constantly innovating financial services sector.
With the outlook of banking looking more like it will go the way of an invisible white-label service, human interaction might be solely limited to writing and training sophisticated AI programs and algorithms.
Before implementing AI, banks must adequately prepare their data first.
What’s the role of fintech in the global economy?
Analytics is the new big buzzword in today’s fast-paced business world, and for good reason.
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.
The ability to collect data and parse through it on mobile devices gives banks the power to make smarter decisions faster.