Some banks offer 24 hours customer service every day, is that mean there always have someone is working with pay. The answer is “No”. Most of banks have implemented in automated online assistants that can be seen as avatars on web pages. It can avail for enterprises to reduce their operation and training cost. A major underlying technology to such systems is natural language processing. Similar techniques may be used in answering machines of call centers, such as speech recognition software to allow computers to handle first level of customer support, text mining and natural language processing to allow better customer handling, agent training by automatic mining of best practices from past interactions, support automation and many other technologies to improve agent productivity and customer satisfaction. Also credit card providers, telephone companies, mortgage lenders and the U.S. Government employ AI systems to detect fraud and expedite financial transactions, with daily transaction volumes in the billions. These systems first use learning algorithms to construct profiles of customer usage patterns, and then use the resulting profiles to detect unusual patterns and take the appropriate action. Such automated oversight of financial transactions is an important component in achieving a viable basis for electronic commerce.
It is interesting to read your blog about AI. After a clear definition about what AI is, you provided several concrete examples for AI's application in bank system. To my understanding, the natural language processing is one of the hardest field in AI and I am also amazed to find that more and more application just appeared in our daily life. Another example as you provided as abnormal transaction detector is new to me and good to know this.
ReplyDeleteI found this post to be very interesting. I did not know that artificial intelligence was used in banking systems. This is a very good example of how artificial intelligence comes in contact with regular people every day! Hopefully, they will get even closer to humans in their ability to detect fraud. Maybe some day, these systems will be good enough to pass the Turing test.
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