Based on findings from a Cutter Consortium survey examining the adoption and application of AI technology, this article looks at six AI adoption drivers in banking and financial services: (1) competition; (2) the availability of massive data sets; (3) the growing number of commercial AI-based applications; (4) innovation among the players; (5) a growing understanding and appreciation of the potential of AI, ML, and natural language processing (NLP); and (6) increasingly sophisticated user interfaces and customer experience/engagement.
Article
AI in Banking and Financial Services: Current and Future Trends
By Curt Hall
Posted January 21, 2019 | Leadership | Technology | Amplify
About The Author
Curt Hall is a Cutter Expert and a member of Arthur D. Little’s AMP open consulting network. He has extensive experience as an IT analyst covering technology and application development trends, markets, software, and services. Mr. Hall's expertise includes artificial intelligence (AI), machine learning (ML), intelligent process automation (IPA), natural language processing (NLP) and conversational computing, blockchain for business, and customer… Read More
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