Hybrid AI

Hybrid AI refers to the combination of multiple artificial intelligence (AI) techniques – such as machine learning, symbolic AI, rules-based systems and knowledge graphs – to create more robust, explainable and adaptable AI solutions. By integrating statistical learning (data-driven) with symbolic reasoning (logic- and rule-based), hybrid AI systems can handle both unstructured data and complex reasoning tasks, offering improved accuracy, transparency, and decision-making. This approach is especially valuable in enterprise settings where trust, interpretability and compliance are critical. Hybrid AI bridges the gap between traditional and modern AI, enabling more intelligent, context-aware applications across industries.