AI-Augmented Test Automation Frameworks for Banking Applications

Key Points

AI-augmented test automation frameworks enhance the efficiency of banking applications, showing significant improvements in workflow management.
With an impact factor of 5.75, the UGC-approved journal highlights the importance of publishing in a peer-reviewed platform.
Assessment using analytical reviews from UGC-approved journals indicates growing interest in AI applications in finance.
The findings support the potential for AI to transform traditional banking processes, necessitating broader implementation.

Abstract

UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list, UGC Approved list, list of ugc approved journal, ugc approved journal,IJRAR - international Research Journal,IJRAR.ORG,Ijrar.org, International Journal of Research and Analytical Reviews (IJRAR) , UGC Approved journal, ugc approved,ugc, ugc certify, publish free of cost, free publication, UGC and ISSN Approved , International Peer Reviewed, Open Access Journal , e ISSN 2348 –1269, Print ISSN 2349-5138, ISSN: 2348 –1269, Impact Factor : 5.75 , E- journal, Low Cost INR 500, Free Publication

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AI-Augmented Test Automation Frameworks for Banking Applications

Key Points

Abstract

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