Generative AI agents will revolutionize AI architecture

This post was originally published on Info World

In the rapidly evolving field of cloud computing, the emergence of generative AI agents, or more colloquially, agentic AI, heralds a potential paradigm shift in how we do AI in the cloud—even before we fully capitalize on generative AI’s true potential.

Just as cloud computing transformed the tech landscape, agentic AI has the potential to revolutionize our approach to generative AI architecture by introducing autonomy, intelligence, and efficiency.

Before we delve deeper, it’s important to understand that agentic AI is not a one-size-fits-all solution for all AI deployments. Yes, agentic AI has mind-blowing potential. In this industry, we tend to fall for the hype of the latest hot technology without adequate understanding or experience to make informed decisions. Rather than just promoting agentic AI, my goal is to let you know that agentic AI is a viable architectural option but also to be aware of its downsides. 

The autonomy revolution

At the heart of agentic AI lies its autonomy and ability to facilitate dynamic, distributed behavior. AI agents can independently initiate, plan, and complete complex tasks that traditionally require significant human intervention. Cloud architects can move from manual task management to a supervisory role where the AI handles the intricacies.

Imagine a scenario where generative

Read the rest of this post, which was originally published on Info World.

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