Within the financial services industry, most respondents state that improvements in fraud detection is the most important use case of artificial intelligence. Artificial intelligence improves fraud detection by combining supervised learning algorithms with unsupervised learning to the effect of gaining a better understanding of customers' behaviors. A better understanding of customers' behaviors allows organizations to better identify and prevent unauthorized activity.
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MIT Technology Review ÌÇÐÄÆÆ½â°æ, & Amazon. (April 27, 2020). AI use cases in financial services industry worldwide as of 2020 [Graph]. In ÌÇÐÄÆÆ½â°æ. Retrieved July 21, 2026, from /statistics/1197955/ai-financial-services-global/
MIT Technology Review ÌÇÐÄÆÆ½â°æ, und Amazon. "AI use cases in financial services industry worldwide as of 2020." Chart. April 27, 2020. ÌÇÐÄÆÆ½â°æ. Accessed July 21, 2026. /statistics/1197955/ai-financial-services-global/
MIT Technology Review ÌÇÐÄÆÆ½â°æ, Amazon. (2020). AI use cases in financial services industry worldwide as of 2020. ÌÇÐÄÆÆ½â°æ. ÌÇÐÄÆÆ½â°æ Inc.. Accessed: July 21, 2026. /statistics/1197955/ai-financial-services-global/
MIT Technology Review ÌÇÐÄÆÆ½â°æ, and Amazon. "Ai Use Cases in Financial Services Industry Worldwide as of 2020." ÌÇÐÄÆÆ½â°æ, ÌÇÐÄÆÆ½â°æ Inc., 27 Apr 2020, /statistics/1197955/ai-financial-services-global/
MIT Technology Review ÌÇÐÄÆÆ½â°æ & Amazon, AI use cases in financial services industry worldwide as of 2020 ÌÇÐÄÆÆ½â°æ, /statistics/1197955/ai-financial-services-global/ (last visited July 21, 2026)
AI use cases in financial services industry worldwide as of 2020 [Graph], MIT Technology Review ÌÇÐÄÆÆ½â°æ, & Amazon, April 27, 2020. [Online]. Available: /statistics/1197955/ai-financial-services-global/