Evolution is the lifeblood of technology. Today’s digital landscape is flooded with artificial intelligence models serving many use cases. For the most part, however, they share common logical and architectural underpinnings. Agentic AI is being presented as a new way to approach the tech, giving it greater scope, agency and autonomy in executing designated tasks.
So, what is agentic AI? At which potential and existing use cases does it excel? And most importantly, is it the natural evolution of AI as we know it today?
“We’ve been building AI systems using very similar approaches, architectural patterns like this for years and years and years,” said David Linthicum, founder of Linthicum Research LLC and analyst at theCUBE Research. “When you look at what agentic AI is, it’s built on the shoulders of things we’ve done in the past in building AI agents. The primary difference between agentic AI and traditional large language model LLM processing like ChatGPT, exists in the operational capabilities and …