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Explore how artificial intelligence and digital twin technology revolutionize financial risk management and asset optimization in this 19-minute conference talk from Conf42 ML 2025. Begin with foundational concepts of AI applications in finance and digital twin technology, then delve into the integration of AI and machine learning frameworks. Discover the evolution and practical applications of digital twins specifically within financial contexts, while examining current challenges facing financial systems today. Learn about comprehensive data collection and pre-processing methodologies essential for building robust financial models. Examine a detailed proposed framework for AI-powered financial risk management, including model performance evaluation techniques and metrics. Analyze cost-benefit considerations for implementing these advanced technologies in financial institutions. Conclude with insights into future developments and opportunities in AI-driven financial optimization, gaining practical knowledge applicable to modern financial technology implementations and risk assessment strategies.
