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By starting with a Data First strategy and building upon it, you’ll set your business up with the best possible base for succeeding when implementing AI in project management.
Managing a project has many challenges – primarily to keep it in scope, on budget, and on time. These challenges only grow for PMs who are responsible for multiple projects and teams
This article demonstrates that AI can enable higher levels of PM maturity and discusses the barriers to AI in PM adoption.
Perhaps, the aspect of a PMO that can be addressed to increase effectiveness is digital disruption and most notably, AI.
Project management is deploying emerging innovative technology, which is likely to change project management in years to come. It is becoming clear that there will be an increasing reliance on Artificial Intelligence (AI).
Effective management of spontaneous risks is critical for projects in a fast-paced market. Are traditional methods of project management reliable enough to handle issues effectively?
The growing need for project consultants means companies, are engaging consultants to provide guidance, and strategic advice. We believe Artificial Intelligence (AI) will change PM consulting and this paper explores how.
Given every project is different how can AI be used to improve project success? Greyfly’s research posed this very question and we have concluded the following answer.
Confucius says, “Study the past if you would define the future”, here at Greyfly we think it is important to understand the key reasons for project failure so that your projects are more likely to succeed.
We propose a THREE-STEP APPROACH to managing Business Risk and believe this will accelerate growth.
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We conducted our second annual cross sector survey to investigate project performance and gauge the level of interest in AI in Project Management.