Artificial Intelligence in Modern Finance: Pathways to Smarter, Safer, and Faster Systems

This paper examines the applications of artificial intelligence (AI) in various areas of finance, including corporate

performance, real estate investment, banking, fraud detection, creditscoring, and investor sentiment analysis. AI techniques,

such as machine learning and neural networks, have been shown to outperform traditional models in predicting financial

outcomes and assessing risks. These advancements lead to more accurate decision-making, reducedbiases, and improved

efficiency. AI also enhances fraud detection systems, credit scoring accuracy, and derivative pricing. Despite these benefits,

challenges remain in terms of model interpretability, privacy concerns, and regulatory compliance. This research underscores

AI's transformative impact on financial sectors, offering precise insights and strategic advantages. The continued evolution ofAI

technologiesis expected to further reshape financial practices.