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Why It’s So Hard to Measure AI’s Effects on Productivity

Summary by Bloomberg

We need better data to determine whether AI applications deliver time savings or impose a time tax.

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Why It’s So Hard to Measure AI’s Effects on Productivity

We need better data to determine whether AI applications deliver time savings or impose a time tax.

14 days ago·United States

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tickernews.co

AI's productivity impact: measuring time savings versus costs

Measuring AI’s productivity impact is challenging without better data on time savings versus time taxes. In Short Measuring AI’s impact on productivity is difficult due to data scarcity and varying adoption rates among companies. Focusing on how AI saves time can clarify its productivity effects, necessitating improved data collection methods to relate time use to economic outcomes. Measuring the impact of AI on productivity is challenging due t…

13 days ago

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MedCity News

Why Providers Are Stalling When It Comes to Scaling AI

Without a clear picture of which solutions are working and which ones aren’t, it’s difficult for providers to scale AI across their enterprise. As hospitals transition their AI efforts from experimentation mode to the widespread adoption phase, experts agree that more rigorous, real-world evidence is needed. The post Why Providers Are Stalling When It Comes to Scaling AI appeared first on MedCity News.

14 days ago

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Hub Publishing

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buildingbetterhealthcare.com

AI in healthcare: how do we get from hype to reality, safely and effectively?

The Highland Marketing advisory board met to consider the government’s enthusiasm for AI. To date, healthcare has mostly experimented with decision support tools, and their impact […] The post AI in healthcare: how do we get from hype to reality, safely and effectively? appeared first on Hub Publishing.

15 days ago

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