Common technologies used to implement artificial intelligence include machine learning, deep learning, and natural language processing (NLP). These technologies enable systems to analyze large datasets, recognize patterns, and make decisions based on data-driven insights. Frameworks like TensorFlow and PyTorch facilitate the development of AI models. Cloud platforms provide scalable infrastructures for AI workloads, while Big Data technologies help to process and manage the vast amounts of information necessary for training AI systems effectively.