AI Use in Application Modernization for Banking Applications
Implementing Artificial Intelligence (AI) and machine Learning (ML) into application modernization will shake up various industries, including finance, healthcare, manufacturing, e-commerce, and retail. This white paper will analyze the transformative potential of AI and ML in modernizing legacy systems and applications, enhancing innovation, operational efficiency, and security during modernization. By leveraging AI technologies like machine learning, natural language processing, and deep learning, organizations can streamline processes, enhance decision- making in the planning phase, and reduce errors during application modernization. The paper also addresses the challenges and considerations in planning and implementing application modernization in banks, as AI and ML have been increasingly adopted in the banking sector. AI and ML help with planning in Hollow the core, including data privacy, ethical concerns, and the need for a skilled workforce.
Authors
- Rishiraj Nandedkar
- Alice Maniyar
Institutions
- Rajasthan Technical University (IN)
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2024-11-08
- DOI
- https://doi.org/10.55041/ijsrem38472
- Citations
- 2
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 1.06