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Revolutionizing Project Management: The AI-Driven PMO and Its Transformative Potential

MPUG

I also believe that in the recent past, Agile principles, processes and techniques have added to our improved success rate. As PMO Leaders, we need to adopt a fresh perspective. The term “AI” often conjures up images of “The Terminator,” or, as I have seen more recently, is associated solely with ChatGPT.

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The Rise of the AI-Powered PMO: Skills and Strategies for Thriving in an AI-Augmented Project Landscape

The IIL Blog

By Ruchi Gupta, PMP ® , PgMP ® , PMI-ACP ® , PMI-RMP ® , SAFe, DASSM, SIP, Jira CBAP ® The accelerating rise of Generative AI tools like ChatGPT, Gemini, Copilot, and others is rapidly reshaping the way project management operates. The Project Management Office (PMO) is no exception.

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57 AI in Project Management Statistics

Rebel’s Guide to PM

54% believe it will change the way work is organized and 53% believe it will increase project team agility. 25% of PMO directors say that AI has disrupted their PMO ( Capgemini ) – and I’m sure that number will only continue to rise. 60% believe that augmented analytics can help risk and opportunity planning and management.

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Artificial Intelligence and Project Management: The First Step!

The IIL Blog

In November 2022, when ChatGPT was made available to the public, it put Artificial Intelligence (AI) into the spotlight for all people – not just ‘techies’ and those who have followed AI for a long time. Risk Management. Effective risk management has to be proactive. Indeed, Artificial Intelligence is not really new.

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Artificial Intelligence and Project Management: The First Step

The IIL Blog

In November 2022, when ChatGPT was made available to the public, it put Artificial Intelligence (AI) into the spotlight for all people – not just ‘techies’ and those who have followed AI for a long time. Risk Management. Effective risk management has to be proactive. Indeed, Artificial Intelligence is not really new. Creativity.

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Lessons from the PMI Summit 2023

NimbleWork

Be it risk forecasting and mitigation, project forecasting, resource demand forecasting and supply management, where there is a dearth of sufficient and high quality data for AI forecasting engines to read, things still continue to be where they have been. Traditional (waterfall), Agile (Scrum, Kanban, other) or Hybrid?

PMI 52
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How AI is Impacting Project Management in 2024

NimbleWork

Data mining for risks AI tools can mine your existing data from past projects to highlight potential pitfalls for the current project. For example, they can compare the risks from past projects with the demographics and characteristics of a new project to see which risks are likely to apply to the current work.

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