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.

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Institutions

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
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article

AI Use in Application Modernization for Banking Applications

Rishiraj Nandedkar, Alice Maniyar
2 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Big Data and Business Intelligence
1.06
article

AI Use in Application Modernization for Banking Applications

Rishiraj Nandedkar, Alice Maniyar
article en
2 citations

Abstract

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.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(11)
Rajasthan Technical University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Big Data and Business Intelligence
1.06
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AI Use in Application Modernization for Banking Applications — Rishiraj Nandedkar, Alice Maniyar · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) | TGRS Research Map | TGRS