Understanding Hybrid AI: An Expert Analyst Explains the Synergy Between Rule-Based and Machine-Learning Approaches

In light of recent technological advancements, Artificial Intelligence (AI) has transformed from promising tech jargon into a business solution redefining corporate strategies.

One intriguing AI model attracting attention is the Hybrid AI, which artfully combines both rule-based and machine learning approaches. Traditional AI systems rely on either a machine learning model that learns from data or a rule-based system defined by explicit instructions. However, the Hybrid AI system exploits the best of both worlds.

Rule-based components offer interpretable insights and predetermined responses to specific situations. Simultaneously, machine-learning aspects support the handling of complex situations and improvisations.

The Hybrid AI model’s versatility is making it an enticing option for corporations to adapt to the swift AI evolution within the business ecosystem. More companies are experimenting with Hybrid AI to enhance customer experiences, streamline workload, and drive business metrics. Read More