With machine learning and its sophisticated systems powered by Artificial Intelligence, processing of unstructured data has turned into an easy possibility as it can grow faster with more inputs
Banking and financial sectors have been using some form of machine learning to keep track of data but it is usually tedious and manual in nature. With high volume of data and the quantitative nature of finance, this sector is particularly suited for artificial intelligence.
Robotic Process Automation (RPA) is a potential differentiator. It can make institutions and their services stand out on various aspects and parameters to meet customer expectations and stay ahead of competition.
Technology has made financial crimes more sophisticated. That’s why machine learning and stream computing are better traditional rule-based systems when it comes to combating complex fraudulent activities across the financial sector