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Revolutionizing Finance with Intelligent Solutions
Abstract
This paper explores the revolutionization of finance through intelligent solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is reshaping various aspects of finance, including banking, investment, and risk management. The study highlights the application of AI techniques such as algorithmic trading, fraud detection, and credit scoring in enhancing efficiency, accuracy, and transparency in financial operations. Additionally, it discusses the integration of AI with blockchain technology, robo-advisors, and chatbots to enable seamless transactions, personalized financial advice, and customer service automation. The paper also addresses challenges such as regulatory compliance, algorithmic bias, and cybersecurity risks in the adoption of AI-driven engineering solutions in finance. It emphasizes the importance of regulatory sandboxes, ethical frameworks, and responsible innovation in leveraging AI's potential to drive financial inclusion and sustainable growth.
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