Financial Industry AI: State of Practice 2019

Posted July 23, 2019 in Data Analytics & Digital Technologies
Financial Industry AI

Financial institutions have digitally transformed their business processes and products, creating vast sources of structured and unstructured data. AI offers the means to complete this transformation in radical ways — across the front, middle, and back offices, while also addressing the big data problem. In addition, AI is also shaping the fintech and regulation (“regtech”) landscapes, particularly in addressing what has become known as “Big Regulation.” However, AI’s promise must be balanced with current limitations to the application of enabling technologies like machine learning (ML) and natural language processing (NLP). This Advisor looks at the promise, potential, and limitations of AI in the financial industry.

About The Author
Tom Butler
Tom Butler is a Professor in the Department of Business Information Systems at University College Cork (UCC), Ireland. He has over 200 publications in leading IS journals and conferences and a range of other outlets. Dr. Butler has been awarded more than US $9.5 million in research funding and has several technology innovations to his name. He is a global thought leader in regtech and a member of the expert group on fintech innovation for the… Read More
Leona O Brien
Leona O’Brien is a Senior Regulatory Technology Researcher in the Department of Business Information Systems at University College Cork (UCC), Ireland. Her research interests include semantic technologies, financial regulation, and regtech/fintech. Ms. O’Brien has been widely published, has collaborated on several regtech innovations, and has been awarded nearly US $500K in research funding. She is a speaker and panel member of industry… Read More
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