FINTECH AND AI: DISRUPTING TRADITIONAL FINANCIALMANAGEMENT MODELS

In the banking, investing, insurance, and risk management industries, the traditional financial management models are being drastically altered by the quick development of Fin TechandAI. This paper examines how artificial intelligence (AI)-powered solutions, includingroboticprocess automation (RPA), natural language processing, predictive analytics, and machinelearning algorithms, are upending traditional financial procedures, improving operational effectiveness, and changing consumer experiences. AI technologies are increasing accuracy, speed, and Personalization in financial services by automating repetitive processes, facilitating real-time data processing, and enhancing fraud detection and risk assessment. Thestudy also emphasizes the difficulties associated with integrating AI, such as the needforimproved cyber security frameworks, algorithmic biases, data privacy issues, and regulatorycompliance. The future of financial management will probably depend on howwell technical innovation is balanced with moral considerations and regulatory monitoring as FinTechcompanies and traditional financial institutions compete and work together. The strategicsignificance of AI-driven innovation in influencing the direction of financial management isemphasized in this article, which offers insights into the changing landscape.