"For us at UnionBank, it's very important to put the customer at the center, and therefore, we seek to develop customer-centric AI solutions. Besides looking at AI solutions for banking-specific features, we're also looking at innovative solutions beyond banking" mentioned Dr. Heinrich. She likewise noted that solutions providers should consider value-adds for clients to enable them to have customer relationships in a more holistic way. This would assist clients in their areas of interest or in what they want or need to spend money for.
"We can actually see that this is really a customer need when looking at major topics that come up in personal finance forums on the web. We can see that less than 20 percent of the conversations actually mention banking products or services" Dr. Heinrich emphasized.
UnionBank has been continuously exploring partnerships with external players in the industry or academia to provide more value for its customers. This, Dr. Heinrich said, will enable the Bank to be fast with innovative advances. She then cited AI use cases in healthcare as an example, with a hypothetical use case where a bank can get access to a large pool of data of patients with certain chronic diseases.
According to Dr. Heinrich, "By running machine learning models on this data, we can give financial advice for the coming months and years to be able to cover the cost for the treatments and have patients select their preferred life-enhancing products or services accordingly. And we can also easily enhance the data set with our own data of the customer, and that can be shared back to the care provider, if the patient agrees."
There really are a lot of possibilities collaborating with AI tools in financial services.
Post a Comment