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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Informative Article | Financial Engineering | India | Volume 13 Issue 1, January 2024

A Review on Impacts of Multi - Model Artificial Intelligence in Financial Services

Priyal Borole [6]

Abstract: Financial services are always changing, making it difficult to navigate technological advances. This investigation examines Multi - Model AI's transformational tendrils in its labyrinthine domain. As we explore the history of AI in banking, traditional models' flaws become apparent, revealing Multi - model AI as an adaptive rescuer. We explore the broad tapestry of AI applications in banking and finance, revealing model fragility. A careful analysis of Multi - model AI shows its complexity and innovative potential. Risk management, customer service, and trading showcase its precision, sophisticated decision - making, and scalability in financial operations. The reverberations of Multi - model AI are not restricted to the antiseptic hallways of algorithms; they resound through the throbbing heart of financial markets. Trading patterns spin, market dynamics change, and regulators wake up. This tectonic upheaval in the financial environment is methodically engraved, not in abstract ideas, but in the concrete ink of case studies. Success stories glitter alongside cautionary tales, giving practical lighthouses for those exploring the unfamiliar seas. As our intellectual voyage nears its pinnacle, we cast a foretelling future trend. This study, an elaborate mosaic reflecting the essence of Multi - model AI's transformation in transforming financial services, stretches its tendrils as a treasure trove for academics, industry stalwarts, and policymakers struggling with the riddle of AI and finance's developing embrace.

Keywords: Multi - model AI, Financial Services, Risk Management, Trading, Bias Mitigation, Regulatory Responses, Workforce Implications

Edition: Volume 13 Issue 1, January 2024,

Pages: 1794 - 1800

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