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Generative AI in Agile: A Strategic Career Decision

Scrum.org

A reason to embrace generative AI in Agile? Introduction: The AI Dilemma in the Agile Community Interestingly, Agile practitioners are no strangers to skepticism about new tools. The job market concerns are multifaceted and reflect broader anxieties about AIs impact on knowledge work.

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Generative AI for Project Managers (PMI Course Review)

Rebel’s Guide to PM

If you’ve been on LinkedIn recently, you’ve probably seen someone in your network sharing that they have earned the Generative AI Overview for Project Managers badge by completing a PMI training course. Navigate to the store once you are logged in and search for the Generative AI course. Is the course worth your time?

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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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From Hype to Reality: Integrating Generative AI into Your Project Management Workflow

The IIL Blog

The buzz around generative AI is undeniable. The project management landscape is undergoing a seismic shift, with generative AI emerging as a game-changer. Generative AI isn’t here to replace you, the seasoned project manager/coach. Generative AI thrives on data. Register here.

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Using Generative AI to Drive Corporate Impact

TechEmpower - Project Management

Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.

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Human–AI Synergy in Innovation: from Innovation Management Software To Open Innovation

The IIL Blog

In that article, we highlighted how AI can assist with daily Project Management work, and more specifically during the typical tasks of planning, monitoring, scheduling, resource allocation, KPI reporting, risk analysis, customer and sponsor reporting, and so on.

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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. This is the first step towards AI by project managers. Active Assistance. 2] Lohr, “ The A.I. 29, 2023. [3]