AI frameworks provide the foundation for developing, training, and deploying machine learning and deep learning models. Popular AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn enable developers to build AI-powered applications. These frameworks support computer vision, NLP, predictive analytics, and reinforcement learning, allowing businesses to automate tasks and enhance decision-making. Open-source AI frameworks offer pre-built models, libraries, and APIs that accelerate AI development and integration. Organizations rely on these frameworks for AI-powered automation, big data processing, and real-time analytics, ensuring scalability and performance. Choosing the right AI framework enhances model accuracy, deployment speed, and AI-driven innovation, making it a crucial component in modern AI development strategies for businesses and developers.