Fast and slow data: How to enable fast, interactive customer journeys based on slow mathematical models
When it comes to digital journeys, one characteristic defines quality beyond industrial specifics: speed. While rule-based apps or websites are relatively easy to keep lean and quick, the financial industry may be the area where the speed of underlying calculations could be an issue. Unlike e-commerce or media, the digital and physical solutions provided by the financial sector are riddled with computationally heavy models trying to grasp the uncertainty of real-world economies. The more granular and elaborate the underlying model is, the more realistic and accurate its results are. Does it mean that the financial institutions will have to compromise on quality to deliver fast solutions? Today we have spoken to Erik Brodin, an ex-McKinsey quant expert at Kidbrooke, who doesn’t believe a compromise is necessary.
A little more talk, a lot more action
Elvis Presley sang “A little less conversation, a little more action please” famously in the 1968 film Live a Little, Love a Little. But when it comes to customer engagement, a little more talk with customers can lead to beneficial actions. Customer engagement is one of the most important activities that a financial services firm can undertake so let's take a look at how you can maximise your customer relationships.
Kidbrooke qualifies as an AIFinTech100 company
Kidbrooke is named as one of the world’s most innovative solution providers developing artificial intelligence (AI) and machine learning technologies to solve challenges or improve efficiency in financial services in FinTech Global's annual AIFinTech100 list – a list that highlights tech companies transforming the global financial industry by leveraging AI and machine learning.
Is Your Robo Advisor Fit for The Job?
Amidst the strategic decisions and the fears of a mysterious AI stealing the jobs of financial advisors, we believe one important detail remains overlooked. Do we properly understand the machines that are to automate an essential part of our value chain or that may become an alternative to our human operators?