Agentic AI: The top challenges and how to overcome them
Briefly

Before deploying agentic AI, enterprises should be prepared to address several issues that could impact the trustworthiness and security of the system.
With agentic AI, one agent acts as a 'planner' and orchestrates the actions of multiple agents. The model provides a 'critical thinker' function, offering feedback on the output of the planner.
By 2028, Gartner predicts that at least 15% of day-to-day work decisions will be made autonomously by agentic AI, up from 0% in 2024.
Although AI agents promise to improve efficiency and save costs, they're not without challenges that enterprises need to prepare for.
Read at InfoWorld
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