Machine learning technologies utilize neural networks to improve predictive analytics by modeling complex relationships within data. These networks, inspired by the human brain, consist of interconnected layers of nodes that process information hierarchically. By training on large datasets, neural networks can identify patterns and make predictions about future outcomes with high accuracy. This is widely applied in fields such as finance, healthcare, and marketing to forecast trends, detect anomalies, and optimize decision-making processes. Neural networks have revolutionized approaches to data analysis and problem-solving.