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Explore the intersection of artificial intelligence and banking in this 53-minute lecture delivered as part of the Summer School for Women in Mathematics and Statistics at the International Centre for Theoretical Sciences. Learn how AI technologies are transforming the banking industry through practical applications and real-world examples. Discover the mathematical and statistical foundations underlying AI implementations in financial services, including machine learning algorithms used for fraud detection, risk assessment, customer service automation, and predictive analytics. Examine the challenges and opportunities that arise when integrating AI systems into traditional banking operations, from regulatory compliance to ethical considerations. Gain insights into how banks leverage data science techniques to enhance customer experience, streamline operations, and make data-driven decisions. Understand the role of AI in modern financial technology, including algorithmic trading, credit scoring, and personalized financial recommendations. This lecture is designed for undergraduate students with a mathematics background and provides an accessible introduction to the technical and practical aspects of AI in banking, making it valuable for those interested in pursuing careers at the intersection of mathematics, statistics, and financial technology.
