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

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15502041
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence and Machine Learning: Pioneering Change in Banking

Zenodo (CERN European Organization for Nuclear Research)
Financial Distress and Bankruptcy Prediction
article

Artificial Intelligence and Machine Learning: Pioneering Change in Banking

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Department of Commerce (AU), G.S. Science, Arts And Commerce College (IN)
Decent work and economic growth
Openalex Percentile: Top 38%
Financial Distress and Bankruptcy Prediction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.