The technology used to develop artificial intelligence-based systems includes machine learning algorithms and deep learning frameworks. Platforms like TensorFlow, PyTorch, and Keras provide tools for building and training AI models. These technologies enable computers to learn from large datasets, improving their ability to make predictions and automate tasks. AI systems are trained using vast amounts of data, which allows them to recognize patterns and gain insights. The applications of AI span various industries, including healthcare, finance, and customer service, showcasing its transformative potential in enhancing efficiency and decision-making.