While generative AI (artificial intelligence) has been the talk of tech for the past several years, agentic AI now offers new opportunities for business—and companies should be preparing for what comes next. Agentic AI builds on generative AI. Gen AI is simply the idea of turning large quantities of data into actionable intelligence. AI agents build on this capability. NVIDIA suggests agentic AI uses sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems. It suggests agentic AI uses a four-step process for problem solving: perceive, reason, act, and learn. Simply, it will enhance productivity. Agentic AI in Customer Service Let’s consider the example of agentic AI in customer service, which is perhaps one of the most popular use cases these days. Agentic AI will autonomously resolve 80% of common customer service issues without human intervention by 2029, which will ultimately be a 30% reduction in operational costs, according to Gartner . Agentic AI builds on previous models by enabling AI systems to act autonomously to complete tasks. Both customers and businesses will use the technology to automate interactions. Naturally, this will be a big shift for both customers and businesses. Companies will need to rethink their approach […]
Agentic AI: What It Means for Business
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