BBVA API Market
These articles will get you up to speed with the latest machine learning developments and advances and how they affect and could add value to the fintech industry and open banking:
In this article in Netguru, Timothy Clayton lists five areas in which artificial intelligence and, most specifically, machine learning are setting the tune for the development of new fintech products: customer service is redefined with bots and other AI interfaces; credit scores are faster and more reliable; trading and money management are enhanced; regulatory compliance is facilitated with automation; and the fight against bank fraud is made a lot easier.
In Medium, Ted Moses explains the most recent developments in deep learning applied to trading. By now, we have all heard about the robotization of financial trading globally; in this case, however, we go into a new level of sophistication. Deep learning performs extraordinarily in establishing patterns from data and later identifying these patterns from large amounts of data. Moses talks about the research done by Babak Hodjat toward what is already called “deep trading,” a concept you must look out for. You will start hearing it more and more often in the immediate future.
This thread in Quora is very interesting if you are looking for inspiration from very specific examples of how machine learning can be applied. The replies/contributions from the Quora community to this question include such issues as predicting business bankruptcy, cybersecurity, the backdrop and information surrounding a topic you need to make a decision on and which has financial consequences, etc.
This article posted on BBVA API_Market a few months ago describes the positive consequences for banks of the combination of artificial intelligence and big data: enhanced product definition and better fight against fraud. It contains loads of examples, applications and techniques.
And, lastly, a critical article to put your feet back on the ground amidst so much (justified) hype surrounding machine learning and artificial intelligence. Linda Zaikovska-Daukste, CFO/Co-Founder of UX Design Agency, looks critically at the (sometimes) unjustified emergence of interfaces and services based on machine learning derivatives such as chatbots. From the perspective of the User Experience, Linda explains that sometimes these are not the best option to achieve an appropriate client-centric strategy, which she adamantly defends. Interesting opposite view.
Traditional banks are making the commitment to BaaS models, open banking is driving digital financial services, regulatory bodies are increasing scrutiny when it comes to BaaS providers, the banking ecosystem is rapidly changing and increased competition and regulatory pressures are expected in the BaaS sector. The State of Banking-as-a-Service (BaaS) is a report prepared by […]
APIs can be a great support when automating business processes Companies, often with a focus on SMEs, spend too many man-hours on time-consuming business processes, thereby making mistakes that a machine would never make. How can business process automation (BPA) help these companies? Is it possible to make use of APIs for BPA? What is […]
Open finance is expected to be regulated over the next few years, leading to a new open data ecosystem Open finance is making its way into the legal system through the consolidation of several initiatives that will lend it legal protection. Once this is complete, customers will have an open finance framework that protects their data […]