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As the financial markets continue to evolve, the integration of artificial intelligence (AI) within business systems architecture has emerged as a transformative force. The paper explores the advancements and implications of AI-powered business systems architecture in financial markets. By analyzing the applications, challenges, and benefits of AI in financial systems, this study aims to provide insights into how AI-driven architectures optimize decision-making processes and enable data-driven strategies. Drawing on real-world case studies and industry best practices, this paper highlights the significance of AI-powered business systems architecture in driving competitive advantage and innovation in the financial markets.
Keywords:
Business systems architecture, Artificial intelligence in Financial Markets, FinTech, Data Driven Strategies, Machine learning, Regulatory Compliance.
Cite Article:
"From Data to Decisions Artificial Intelligence in Financial Markets Business Systems Architecture.", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 7, page no.980 - 985, July-2023, Available :http://www.ijrti.org/papers/IJRTI2307140.pdf
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000205077
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator