International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Information Technology | United States of America | Volume 13 Issue 3, March 2024


Strategic Oracle Integration: Unleashing the Potential of AI and ML for Finance in the Era of Digital Transformation

Madhavi Vinayak Godbole


Abstract: This research investigates the strategic integration of Oracle technology with Artificial Intelligence (AI) and Machine Learning (ML) in the banking industry, focusing on its disruptive potential, important results, and implications for financial organizations. The study emphasizes the need to align technology investments with organizational goals through a rigorous review of literature and perspectives from many writers. The report emphasizes the need for a strong integration architecture that easily integrates Oracle technology with current systems, guaranteeing interoperability and agility in today's changing financial world. Real - world case studies serve as realistic benchmarks, providing important insights into successful Oracle integrations while also casting light on possible benefits and obstacles. Key conclusions emphasize the need for purpose - driven technology investments, methodical integration methodologies, and iterative learning via case studies. The need for financial institutions to adopt Oracle integration is clear. Beyond technology factors, the study emphasizes the necessity of organizational agility, cultural transformations, and investment in human development for successful challenge navigation. The strategic integration of Oracle technologies with AI and ML emerges not just as a technological progression, but also as a transformative journey that positions financial institutions at the vanguard of innovation, resilience, and long - term competitiveness in the dynamic and digitalized world of finance.


Keywords: Oracle integration, Artificial Intelligence, Machine Learning, banking industry, organizational agility


Edition: Volume 13 Issue 3, March 2024,


Pages: 5 - 11


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