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During the pandemic, there has been more emphasis than ever on "low-hanging fruit" AI applications and use-cases. Fraud detection is one of these use-cases.
There will be an uptick in financial crimes as happens during economic crises. This week, we speak with H.P. Bunaes, General Manager of Financial Services at Datarobot, which focuses on AutoML. H.P. speaks with us about how fraudulent payments often happen and can go undetected, as well as how AI could play a role in detecting them. He also discusses how to deploy AI applications for fraud detection in financial services.
To learn about how we map the ROI of AI in financial services, watch our short 2-minute video on our AI Opportunity Landscape research at emerj.com/fs1.
 By Daniel Faggella
By Daniel Faggella5
1919 ratings
During the pandemic, there has been more emphasis than ever on "low-hanging fruit" AI applications and use-cases. Fraud detection is one of these use-cases.
There will be an uptick in financial crimes as happens during economic crises. This week, we speak with H.P. Bunaes, General Manager of Financial Services at Datarobot, which focuses on AutoML. H.P. speaks with us about how fraudulent payments often happen and can go undetected, as well as how AI could play a role in detecting them. He also discusses how to deploy AI applications for fraud detection in financial services.
To learn about how we map the ROI of AI in financial services, watch our short 2-minute video on our AI Opportunity Landscape research at emerj.com/fs1.

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