Question

8.
In Banking and Finance, AI is used to

record playlist history
Protect against frauds
generate randophevels
learn behavior​

Answer 1

Answer:

In fact, according to our AI Opportunity Landscape research, approximately 26% of the venture funding raised for AI in the banking industry is for fraud and cybersecurity applications, more than any other use-case category.

In this article, we cover the different approaches to AI banks can employ for detecting payment fraud, loan fraud, and customer onboarding fraud. We also discuss the data each approach requires and how that data is used for fraud detection purposes. More specifically, this article explores:  

• An overview of machine learning for fraud detection in banking

• Anomaly detection for recognizing inconsistencies or inaccuracies in payment and application information

• Predictive analytics solutions for detecting fraud across multiple banking channels

• We begin with an overview of machine learning for fraud detection in banking.

Hope it will be helpful to you............