Machine learning impacts the financial industry by enabling improved data analysis, predictive modeling, and risk assessment. Financial institutions leverage machine learning algorithms to detect fraudulent transactions, assess creditworthiness, and optimize investment strategies based on historical data. Additionally, personalized services become possible through customer behavior analysis, allowing financial organizations to tailor products and services to individual preferences. This shift not only enhances operational efficiency but also elevates the customer experience, leading to better retention and acquisition rates within a highly competitive landscape.