An effective role of artificial intelligence and machine learning in banking sector

Abstract

Financial institutions now have a tool at their disposal in the form of artificial intelligence (AI) and machine learning (ML) to meet the rising demand from customers for better, safer, and more convenient methods to manage their money. Artificial intelligence also helps the financial sector streamline and improve processes including financial risk management, quantified trading, and investment decision-making. Consequently, solutions based on automation are predicted to revolutionize the way individuals receive financial services. With the help of AI and ML, managers may devote more time to the organization's strategic and critical tasks and less to its menial tasks. Artificial intelligence (AI) is quickly replacing humans in important financial tasks like risk assessment, stock trading, and extending credit to those who apply for loans. To elaborate, AI is a powerful tool with many applications in the banking and insurance sectors. The financial services business might greatly benefit from the application of ML and AI. They completely transform the financial services industry and how they are provided to customers. It has the potential to increase the efficiency of internal procedures, cybersecurity, and risk reduction while also leading to more informed and personalized products and services. Customer satisfaction is enhanced by the speedier response made possible by AI. Artificial intelligence (AI) and machine learning (ML) are changing the way financial institutions produce and utilize data insights, which is leading to new types of innovation in business models, changes in competitive ecosystems and workforces, new dynamics in risk, and new problems for companies and governments.

Keywords

• ML
• AI
• Banking sector
• Machine learning
• Risk prediction