@genaiexp AI has revolutionized the way financial institutions approach fraud detection. Unlike traditional rule-based systems, AI provides dynamic and adaptive solutions, leveraging machine learning algorithms to predict and identify fraudulent activities. These algorithms can process vast amounts of data, learning from each transaction to improve their accuracy over time. Predictive analytics plays a crucial role here, as it helps in foreseeing potential fraud before it occurs. Through real-world examples, such as AI implementations in banks and e-commerce platforms, we can see the tangible impact of these technologies. As AI continues to evolve, new trends like deep learning and neural networks are set to further enhance fraud detection capabilities.