An AI Model is a trained computational system that processes data to perform specific tasks such as classification, prediction, or decision-making. It’s built through machine learning or deep learning techniques, where the system learns patterns from historical datasets. For example, Hermes AI uses models to detect market-moving news, while Orion AI uses them to analyze financial fundamentals, technical indicators, and sentiment. AI models can be narrow (task-specific) or more general in capability. In business, they’re used for fraud detection, investment forecasting, recruitment screening, and customer service routing. The performance of an AI model depends on the quality and quantity of its training data, the algorithms used, and its ongoing tuning. Businesses often run multiple specialized AI models together for higher accuracy, creating a robust decision-support framework.
