Data Science In Banking: 5 Use Cases For Banks -

Applying data science technologies like AI, NLP, and machine learning algorithms can help banks in several areas like fraud detection, risk management, customer sentiment analysis, and personalized marketing. Data science is disrupting the banking sector like never before. Banks are sitting on piles of data and harnessing the volumes of data is helping banks in various ways, from process automation, process improvements to exploring new delivery models and introducing new services. Every year financial institutions are spending billions against fraud detection applications, as it may hurt the company's brand and reputation. Data science plays a key role in collecting, summarizing, and predicting the customer database to detect fraudulent activities.