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Artificial intelligence: Adoption trends in the banking sector

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ADOPTION OVERVIEW The AI Technology Adoption Heat Map in Banking and Investment Services 2019-2020 ADOPTION OVERVIEW 01 CUSTOMER- FACING TASKS 02 TOP BUSINESS DRIVERS 03 ADOPTION BY FUNCTIONAL AREA 04 AN AI-FIRST FUTURE 05 Intelligent applications (IAs) — apps that improve consumers' financial health via predictive suggestions or identify lending fraud, for instance — were the winners in terms of growth, sprouting from 1% to almost 9% between the two observed time frames. Although some key technologies in the chart are cooling (like ML), the cluster of ML, NLP and chatbots still represents the broadest use and commands close to 50% of the market, as measured in number of projects. n = 279; total number of occurences Sources: Gartner Deep Neural Networks (DnA) Machine Learning (ML) Virtual Assistant (VA) Natural Language Processing (NLP) Chatbot Robot Process Automation (RPA) Smart Robots Computer Vision System Speech Recognition Intelligent Application (IAs) Color Shows 2019-2020 Range of Change Compared With 2017-2018 in the Percent of Occurences Square Size Shows Number of Occurences in Deals (n) n = 10 Very Hot Hot Stable Cool

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