How to Solve the Right Problem in the Age of Agentic AI

# The Real Challenge With AI Agents Isn't Building Them—It's Knowing What Problem to Solve First As AI agents become more capable at executing tasks on their own, companies are rushing to deploy them without first figuring out which problems are actually worth solving. The article emphasizes that before you let an AI agent loose on a task, you need a solid framework to clarify your goals and reduce guesswork about what will actually work for your business. Get this step right, and your AI investment pays off; skip it, and you've built something fast that solves the wrong problem.
A practical framework for reducing uncertainty before agents accelerate implementation The post How to Solve the Right Problem in the Age of Agentic AI appeared first on Towards Data Science.
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