Capacity, Not Horsepower: Rethinking How We Measure AI's Impact on Engineering

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Move past vanity metrics and learn how to prove AI's real impact on engineering, using data from 500+ organizations
 
Hours saved and lines of code don't show whether AI is working. Justin Reock (DX) and Uma Namasivayam (Dropbox) share a research-backed framework for measuring what leadership actually wants to know: is your engineering team delivering more innovation, more reliably and sustainably?

Key takeaways:

  • Why AI adoption is the wrong metric, and impact is the right one
  • Why faster engineering doesn't automatically mean more value
  • How to turn AI-generated capacity into business impact
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Atlassian

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Artificial Intelligence, Business Operations, Digital Transformation

See more from

Atlassian

Share on
Categories

Artificial Intelligence, Business Operations, Digital Transformation