Kongunadu College of Engineering and Technology(Autonomous)

  INTRODUCTION: The rapid advancement of artificial intelligence has transformed traditional software systems into intelligent solutions capable of decision-making and automation. However, most conventional AI systems still depend heavily on human intervention and predefined workflows. As software systems become more complex and dynamic, there is an increasing need for AI solutions that can operate independently, adapt to changing environments, and pursue long-term goals. Agentic AI systems represent a major evolution in artificial intelligence by introducing autonomous agents that can reason, plan, and act without continuous human supervision. These systems go beyond passive response mechanisms and actively take initiative to complete tasks, making them highly suitable for modern applications such as autonomous software development, intelligent assistants, and complex system management. Agentic AI marks a shift from tool-based AI to goal-driven, self-directed intelligence. RI...

Agentic AI refers to advanced artificial intelligence systems that parade agency meaning they can autonomously perceive their terrain, reason over complex pretensions, plan multi-step conduct, and execute tasks with minimum mortal intervention. Unlike traditional AI, which relies on predefined rules or direct prompts, agentic AI adapts stoutly to new information and surrounds, making it ideal for changeable real- world scripts. For instance, an AI agent may extract information from a database, whereas agentic AI has the capability to coordinate a group of agents to examine market trends, foresee disruptions, and modify strategies in real-time. Industry experts predict that by 2026, 40% of enterprise applications will integrate task-specific AI agents, a significant increase from under 5% in 2025. Agentic ai tools such as MicrosoftGen, Autogpt are designed to operate independently where they can plan task, gather information, and perform action with minimal human input. From Reactive Sy...

Introduction: A Glimpse into Tomorrow’s Intelligence Artificial intelligence is no longer a dream of the future; instead, it has become a present reality that has taken over the transformation of industries, ways of life, and decision-making processes. From health and education to finance and entertainment, AI is one of those arenas that keep on undergoing changes with each passing day. As technology keeps on advancing, new trends are emerging that will definitely redefine how humans interact with intelligent systems and also how machines learn, reason, and act. What Does “Future AI” Really Mean? Future AI, on the other hand, relates to intelligent machines that transcend straightforward automation and pattern recognition. This includes machines that can comprehend situations, learn continuously, come up with decisions on their own, as well as interact naturally with people. This is as opposed to machines that only act on commands. AI is all set to become an interactive partner. Smarte...

    In today’s rapidly changing technological landscape, the rise of Artificial Intelligence (AI) has ignited a Revolution, and at the forefront of this transformation is Agentic AI. This groundbreaking concept isn’t merely focused on the automation of tasks; it’s about establishing autonomous entities capable of making decisions and instigating change in ways we haven’t yet envisioned. But what precisely is Agentic AI, and how does it originate from generative AI (GenAI)? Let us delve into this fascinating relationship and discover where it will take us in the future.      At its essence, Agentic AI pertains to systems that function independently, taking the initiative and making decisions based on acquired patterns and data. Unlike conventional AI, which mainly responds to user inputs or predetermined algorithms, Agentic AI has the ability to evaluate circumstances, contemplate data, and autonomously propose solutions. This degree of autonomy signifies a ...