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.
AI use cases in financial services industry worldwide as of 2020
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MIT Technology Review Insights, & Amazon. (April 27, 2020). AI use cases in financial services industry worldwide as of 2020 [Graph]. In Statista. Retrieved November 21, 2024, from https://www.statista.com/statistics/1197955/ai-financial-services-global/
MIT Technology Review Insights, und Amazon. "AI use cases in financial services industry worldwide as of 2020." Chart. April 27, 2020. Statista. Accessed November 21, 2024. https://www.statista.com/statistics/1197955/ai-financial-services-global/
MIT Technology Review Insights, Amazon. (2020). AI use cases in financial services industry worldwide as of 2020. Statista. Statista Inc.. Accessed: November 21, 2024. https://www.statista.com/statistics/1197955/ai-financial-services-global/
MIT Technology Review Insights, and Amazon. "Ai Use Cases in Financial Services Industry Worldwide as of 2020." Statista, Statista Inc., 27 Apr 2020, https://www.statista.com/statistics/1197955/ai-financial-services-global/
MIT Technology Review Insights & Amazon, AI use cases in financial services industry worldwide as of 2020 Statista, https://www.statista.com/statistics/1197955/ai-financial-services-global/ (last visited November 21, 2024)
AI use cases in financial services industry worldwide as of 2020 [Graph], MIT Technology Review Insights, & Amazon, April 27, 2020. [Online]. Available: https://www.statista.com/statistics/1197955/ai-financial-services-global/