“Agentic AI is making waves in the technology world, capturing the attention of both vendors and enterprises. Unlike the generative AI systems that have garnered so much attention in recent years, these autonomous systems operate with little to no human intervention, working toward a user’s end goal.

With many systems built using a fusion of advanced large language models, natural language processing, reinforcement learning, and machine learning, agentic AI is capable of planning, reasoning, acting, and learning. This enables it to continuously fine-tune and enhance its performance, setting it apart from many conventional AI systems. It can autonomously orchestrate complex tasks and create and manage smaller tasks dynamically to achieve the desired outcome. Advanced agents have contextual understanding and can determine a course of actions and decide what tools (including external databases, APIs, and other AI agents) and assistance are required to reach their desired outcomes.”