Annie McNutt

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AI is the Roy Kent of today’s business world. (S/O to my fellow Ted Lasso fans.) It’s here, it’s there. It’s every-(bleep)-ing-where.

But the way the world is jumping headfirst into automation, it’s important to remember: AI is a tool. That’s it. Full stop.

Sure, it could be the Adidas Al Hilm used in the 2022 FIFA World Cup final. But at the end of the day, it’s a tool. And it’s only as useful and powerful and accurate as the person using it.

In 2019, some 85% of AI projects failed, with 96% of organizations reporting that they had problems with data quality, labeling, and building model confidence, according to TechRepublic. That’s why it’s so important for your IT department to make sure your AI project manager is set up with the right knowledge and the right skills to bury the shot into the back of the net, so to speak. The PM has to be set up for success.

To help you get started, here’s a rundown of everything an effective AI project manager should know and do.