As AI continues to reshape project management, evaluating its long-term impact on productivity and project success becomes crucial. Project managers must go beyond immediate efficiency gains and assess how AI-driven changes influence key performance indicators, team collaboration, and overall project outcomes over time.
How can project managers measure the long-term impact of AI-driven changes on productivity and project success? Saving Changes...
Senior Projects Manager | Field & Marten AssociatesNew Westminster, British Columbia, Canada
Hiral, you need to define a set of metrics and KPIs to measure against but they should be a mix between short-term and long-term because initially, you need to evaluate if what you adopted in terms of AI is working for you or not. Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
AI is a board term which is outside there from more than 40 years ago. Including it, most lf the people and professionals are using it without being aware on that. In my personal experience leading initiatives on the matter from more 30 years ago you are right that most of them are justify mainly because cost reduction and efficiencies in resources assignment. The point is that with the new model of generative AI most of the companies think generative AI is magic and they will achieve that more easily. Totally wrong. Generative AI adds complexity and more roles to projects because the Responsible AI component. BUT in your statement is a key term: productivity. It is critical to define what productivity means for each organization. Saving Changes...
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