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ZDNET's key takeaways
Measuring productivity means setting KPIs that show value.
Working harder with AI doesn't always mean working better.
Focus on strong partnerships that demonstrate clear benefits.
Proving the value of AI is more challenging than it sounds. A CIO recently explained to me he'd proudly told his CEO that the organization's Microsoft Copilot implementation had saved the average employee 30 minutes a day. The CEO's response was curt: "So what? How are staff using that time to produce something valuable for the company?"
The CIO admitted to being somewhat flummoxed. The lesson, he said, was that all professionals who want to exploit AI must demonstrate how their implementation produces real, tangible benefits, not just a reduction in the time it takes to complete a task.
Also: I asked 5 data leaders about how they use AI to automate - and end integration nightmares
So, how can professionals turn a desire for value into actual productivity gains? Here are five ways to create great productivity boosts from your AI projects.
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