Revolutionizing Banking Operations: Implementing Intelligent Algorithms through Artificial Intelligence
Implementing sensible algorithms through synthetic intelligence (AI) can revolutionize banking operations. These intelligent algorithms use advanced device learning techniques to analyze full-size amounts of facts and provide real-time insights for monetary establishments. This can appreciably improve the efficiency, accuracy, and velocity of banking techniques, leading to better client experiences and accelerated profitability. AI-powered sensible algorithms can automate diverse banking operations, which include fraud detection, credit score hazard evaluation, mortgage approvals, and customer service. These algorithms can technique large datasets to identify patterns and anomalies to stumble on and save you fraudulent activities, saving economic institutions large quantities of time and money. In the end, by implementing clever algorithms via AI, banking operations can be significantly enhanced in speed, accuracy, efficiency, and client experience. This could cause a more competitive and successful banking enterprise.
Authors
- Ketan Gupta (ORCID: https://orcid.org/0000-0002-2953-0385)
- S. Dhanasekaran
- Nasmin Jiwani (ORCID: https://orcid.org/0000-0002-7360-0264)
- Abubakar Mohammed (ORCID: https://orcid.org/0009-0001-9834-2169)
- Waheeduddin Khadri Syed
- Janamolla Kavitha Reddy
Institutions
- University of the Cumberlands (US)
- Sri Eshwar College of Engineering
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/ariia63345.2024.11051542
- Primary Topic
- Insurance and Financial Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00