Artificial Intelligence and Machine Learning: Pioneering Change in Banking
Financial institutions are organizations that facilitate the flow of money within the economy by providing various financial services. They play a crucial role in managing funds, allowing individuals and businesses in financial transactions. Financial institutions provides security to the personal and financial information of clients. Detects the fraudulent activities that could results in significant loss. Financial institutes have ability to protect customer’s assets which ensures the confidence of the customers. It contributing to the overall stability of the financial system. Financial institutions handles huge amount of data. Artificial Intelligence (AI) and Machine Learning (ML) can help such institutes to efficiently process and analyse this data with valuable insights. Automation of routine tasks through AI reduces manual labour, speeds up processes, and lowers operational costs. It analyse historical data to envision future risk which improves the risk appraisement.ML algorithms can efficiently understand the individual customer’s preferences and provides personalized financial services as per the customer’s interest. AI ensures the rules and regulations in compliance process to reduce the risk of penalties.AI and ML keeps financial institutions competitive by quickly adopting the market conditions and customer needs. AI algorithms can easily understand and interpret transaction patterns to identify and alert customers regarding unusual behaviour by reducing fraud risk.AI is very useful in forecasting the potential cyber threats by analysing current trends and behaviours in data. AI provide better decision making for the financial institutes by evaluating the credit worthiness of the customers. With the help of automated systems continuous monitoring of transactions is possible which plays a vital role in detecting the suspicious activities and provides immediate response.AI and ML significantly improve financial institution’s security strength and resilience against threats.
Institutions
- Department of Commerce (AU)
- G.S. Science, Arts And Commerce College (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-30
- DOI
- https://doi.org/10.5281/zenodo.15502042
- Primary Topic
- Financial Distress and Bankruptcy Prediction
- Type
- article
- Field-Weighted Citation Impact
- 0.00