Composite AI refers to the integration and combined application of multiple AI techniques, such as machine learning, natural language processing, and computer vision, to enhance learning efficiency and expand knowledge representation.
By leveraging diverse approaches, composite AI can address a broader range of business challenges more effectively and adapt to complex problem-solving scenarios. This multidimensional strategy enables organizations to optimize performance, improve decision-making, and achieve results that may not be possible with a single AI method alone.