Fraud detection in banking.
Machine learning in fraud detection Machine learning is a powerful tool that can be used to detect fraudulent activity in a variety of industries, including the banking industry. By analyzing patterns and trends in data, machine learning algorithms can identify suspicious activity that might be indicative of fraud, and alert businesses to potential risks. Hands-on example One real-life example of how machine learning is being used to detect fraud in the banking industry is the use of behavioral analytics. Behavioral analytics is a type of machine learning that analyzes patterns of behavior in order to identify abnormal or suspicious activity. […]