Hybrid AI

Hybrid AI refers to a type of artificial intelligence system that uses both rule-based and machine learning-based methods. By combining the two approaches, a hybrid AI system can benefit from the strengths of each method. Rule-based systems are fast and reliable, while machine learning algorithms are flexible and can adapt to changing conditions. By using a hybrid AI system, the overall performance and accuracy can be improved compared to using a single AI approach. 

Hybrid AI is often used in areas such as customer service and language processing, where a combination of rule-based and machine learning methods is needed to provide a desired outcome: for for handling common and complex queries in customer support, making predictions based on medical data analyses, for targeting advertisements, etc.

How AI is Used in Recommendation Systems

Looking for an AI integration partner?

Get Started with Us