There is a fair amount of buzz in the tech world about Agentic AI. The answer to the question of what exactly it is is that it comprises software systems that can be likened to AI agents tasked with carrying out important tasks with very little human intervention. What makes it special is the fact that it can be relied upon to make decisions by factoring in all the variables and yet providing solutions to the most intricate of problems. It does so by leveraging a variety of AI technologies like machine learning, large language models, and deep learning, complemented by reinforced learning. Agentic AI is a natural progression from regular AI and Gen AI in that unlike these, it is able to come up with turnkey enterprise solutions capable of accomplishing highly complex tasks and thereby better achieve business objectives. This is quite an enhancement in the ability of artificial intelligence to provide enterprise solutions autonomously. The earlier AI systems could not do much beyond automating mundane tasks in accordance with set rules, crimping their ability to learn, change evolve, and make autonomous decisions, making them not very impactful when it came to addressing the needs of enterprise-level businesses. Generative AI did step up to the plate to a certain extent by using large language models and natural language processing to generate myriad forms of content including the writing of code. That being stated much of this was achieved by providing prompts with this technology not really being able to act independently and autonomously. Agentive AI - A Paradigm Shift Agentive AI marks a paradigm shift in how AI is going to be perceived and seen by large-scale business organizations. It is its ability to learn- interact in complex scenarios and environments and use that to inform its autonomous decision-making puts it in a league far superior to Generative AI. From simplifying and optimizing complex workflows to responding with alacrity to ever-changing business needs reducing the cost of operations. This is a technology that has large organizations very excited about its capabilities. What makes AI positively stand out is its autonomous nature, its ability to reason and find context, learn by interacting with the environment it operates in, be able to understand the most complex instructions, and above, all its outstanding ability to optimize workflows. Agentive AI promises to especially revolutionize content creation, customer service, software engineering, and healthcare. This is a space that needs to be watched in 2025. There is a fair amount of buzz in the tech world about Agentic AI. The answer to the question of what exactly it is is that it comprises software systems that can be likened to AI agents tasked with carrying out important tasks with very little human intervention. What makes it special is the fact that it can be relied upon to make decisions by factoring in all the variables and yet providing solutions to the most intricate of problems. It does so by leveraging a variety of AI technologies like machine learning, large language models, and deep learning, complemented by reinforced learning. Agentic AI is a natural progression from regular AI and Gen AI in that unlike these, it is able to come up with turnkey enterprise solutions capable of accomplishing highly complex tasks and thereby better achieve business objectives. This is quite an enhancement in the ability of artificial intelligence to provide enterprise solutions autonomously. The earlier AI systems could not do much beyond automating mundane tasks in accordance with set rules, crimping their ability to learn, change evolve, and make autonomous decisions, making them not very impactful when it came to addressing the needs of enterprise-level businesses. Generative AI did step up to the plate to a certain extent by using large language models and natural language processing to generate myriad forms of content including the writing of code. That being stated much of this was achieved by providing prompts with this technology not really being able to act independently and autonomously. Agentive AI - A Paradigm Shift Agentive AI - A Paradigm Shift Agentive AI marks a paradigm shift in how AI is going to be perceived and seen by large-scale business organizations. It is its ability to learn- interact in complex scenarios and environments and use that to inform its autonomous decision-making puts it in a league far superior to Generative AI. From simplifying and optimizing complex workflows to responding with alacrity to ever-changing business needs reducing the cost of operations. This is a technology that has large organizations very excited about its capabilities. What makes AI positively stand out is its autonomous nature, its ability to reason and find context, learn by interacting with the environment it operates in, be able to understand the most complex instructions, and above, all its outstanding ability to optimize workflows. autonomous nature, its ability to reason and find context, learn by interacting with the environment it operates in, be able to understand the most complex instructions, and above, all its outstanding ability to optimize workflows. Agentive AI promises to especially revolutionize content creation, customer service, software engineering, and healthcare. This is a space that needs to be watched in 2025. This is a space that needs to be watched in 2025.

The is an opinion piece based on the author’s POV and does not necessarily reflect the views of HackerNoon.

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