AI Taxonomy

AI Taxonomy is a structured classification system that categorizes artificial intelligence technologies based on their capabilities, functions, and application areas. It typically organizes AI into core types—such as narrow AI, general AI, and superintelligent AI—and further classifies methods like machine learning, deep learning, natural language processing, and computer vision. AI taxonomy also extends to use cases (e.g., predictive analytics, automation, generative AI) and industry applications (e.g., healthcare, finance, manufacturing). This framework helps organizations understand, evaluate, and prioritize AI solutions aligned with strategic goals and technical readiness.