Agentic AI Will Transform Decision-Making and Business Operations

 

Credits: Vecteezy

While the public's attention was swiftly captivated by the science underlying AI-powered chatbots, corporate executives have been talking about a more potent use of generative artificial intelligence. We refer to it as agentic AI.

Tech guru Bernard Marr stated in his Intelligence Revolution email on Monday that this cutting-edge technology represents a paradigm change that has the potential to expand the capabilities of artificial intelligence.

"At its heart, agentic AI refers to artificial intelligence systems that have some autonomy and can act independently to accomplish particular objectives," he said. "Agentic AI may make decisions, plan actions, and even learn from its experiences — all in pursuit of objectives stated by its human designers in contrast to standard AI models that only respond to prompts or execute predefined tasks."

Jason Wong, a vice president analyst at Gartner, a research and consultancy firm headquartered in Stamford, Connecticut, noted that "agentic AI is the hottest thing going right now."

He clarified that in addition to comprehending purpose and performing basic tasks like retrieving data and producing a response based on it, the technology is also capable of taking action. Thus, it may obtain a tool or an API. Wong told TechNewsWorld, "Or even generate code, like producing Python code to solve an issue."

He said, "It is AI combined with technology, but the agency behind it is quite variable." "It can anticipate how to respond to your query and issue, then turn on the necessary tools to resolve it."

According to Scott Dylan, the founder of Manchester, England-based NexaTech Ventures, a venture capital firm, agentic AI represents a major advancement over generative AI. "Agentic AI has a sense of autonomy, whereas generative AI focuses on creating content — writing, graphics, and code — based on existing data," he told TechNewsWorld. "It does not require continuous human input to make decisions, act, and adjust in real-time."

"Consider it a shift from a suggestion-based tool to one that does tasks autonomously while gaining knowledge from its surroundings," he said.

According to Dev Nag, CEO and founder of QueryPal, an enterprise chatbot in San Francisco, agentic AI is a huge advancement over classic generative AI since it incorporates self-prompted reasoning, dynamic compute allocation, and adaptive problem-solving skills.

"Agentic AI can autonomously allocate more 'thinking time' to complex tasks, employ hidden chain-of-thought search spaces, and use reinforcement learning to optimize its reasoning processes, in contrast to generative AI, which primarily focuses on producing content based on input prompts," he told TechNewsWorld.

"This change enables agentic AI to address increasingly complex issues and modify its methodology according to the task at hand, surpassing simple text production to more human-like problem-solving across several tokenizable data domains," he stated. "It is safe to claim that contemporary agentic AI, such as OpenAI's o1, draws upon generative AI as its foundation but is capable of achieving a greater variety of objectives."

Agentic Transformative Technology For many firms, AI's potent skills have the potential to revolutionize operations.

• Agentic AI has the potential to revolutionize industries by automating intricate decision-making procedures in addition to repetitive chores. Hodan Omaar, a senior AI policy analyst at the Center for Data Innovation, a think tank that studies the nexus of data, technology, and public policy in Washington, D.C., told TechNewsWorld that agentic AI could, for instance, predict and respond to disruptions in real-time in supply chain management, optimizing routes and inventory without the need for human intervention.

• Agentic AI is about to cause a huge change in business," Dylan continued. "It is not only about automating procedures; it is also about giving systems the ability to make complex decisions." That degree of autonomy could lead to more individualized customer care and fraud prevention systems in the financial industry that adapt to changing threat environments without requiring continual human supervision.

• He stated, "I am excited about its possibilities in areas like health care." Imagine a healthcare system that actively monitors patients after a diagnosis and modifies treatment regimens in response to new information. This system would go beyond simply diagnosing patients based on their symptoms. Although this is a long-term goal, agentic AI is laying the foundation for us to come closer to that day.

• By automating complicated cognitive processes, Nag said that agentic AI might transform industries like law, medicine, and finance. This could replace occupations that need regular analysis, but it could also create new positions centered on human-AI collaboration and AI oversight.

• Smaller organizations could benefit from powerful AI thanks to agentic AI's capacity to scale at runtime to handle increasingly challenging challenges without necessarily requiring larger models or more training data.