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Implementing AI in your projects: how to start and improve

Rebel’s Guide to PM

In our annual global survey , one in five (21 percent) respondents say they are using AI always or often in project management. For any professional looking to adopt AI, the logical first question is, “Where do I begin?” Generative AI Overview for Project Managers A quick and easy course aimed at project managers.

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Generative AI and Project Management in 2024: Three Themes to Watch

MPUG

Increasingly, all enterprises are becoming software-led, which is changing the traditional project management lifecycle into the continuous iterative loop that modern software teams have employed for decades. In our experience, there are a few key themes to watch in 2024 as generative AI impacts Project Management : 1.

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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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How Is Artificial Intelligence Being Used in Project Management?

The IIL Blog

Generative AI (Gen AI): a type of AI that can create new content such as images, audio, music, video, code, and text. Large Language Models (LLM’s): A subset of Generative AI that is specifically trained on massive amounts of text data. ML is like a detective finding clues and solving a mystery.

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How Is Artificial Intelligence Being Used in Project Management?

The IIL Blog

Generative AI (Gen AI): a type of AI that can create new content such as images, audio, music, video, code, and text. Large Language Models (LLM’s): A subset of Generative AI that is specifically trained on massive amounts of text data. ML is like a detective finding clues and solving a mystery.

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Artificial Intelligence and Project Management: The First Step

The IIL Blog

Risk Management. Effective risk management has to be proactive. AI enables predictions that are more accurate than traditional software solutions in determining risk responses, probabilities, and their impact. In regard to the meetings, among the others, three software are worth noting– OtterPilot , adam.ai

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Using Artificial Intelligence to Track Project Performance

The IIL Blog

Before you can harness the power of AI, you need access to software and data. Let’s start with software. AI can use algorithms to analyze both past and current performance data to predict future outcomes (predictive analytics). This reduces the probability and impact of risks to the project budget and schedule.