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Recent research from APM shows that, for project professionals dealing with large amounts of data, almost all of them would turn to AI to help with decision making.
The project management profession is taking a more data driven approach and applying AI to improve process and augment decision-making.
Despite the many economic benefits, there are unfortunately technical barriers to consider before implementing AI in PM, leaving many businesses uncertain of where to start.
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
How will this environment affect project delivery and can AI solutions help mitigate some of the challenges?
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 creating a Business Plan and believe in rapid implementation during creation.
We propose a THREE-STEP APPROACH to managing Business Risk and believe this will accelerate growth.
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This research was conducted via an online survey with companies from various sectors and aims to update 2021 research with the latest picture of AI in project management
We conducted our second annual cross sector survey to investigate project performance and gauge the level of interest in AI in Project Management.
This summary is an extract of our 2020 AI in Project Management Report which analyses project failure and considers if AI could reduce failure rates and provide cost savings.
This report analyses project failure and considers if AI could reduce failure rates and provide cost savings.