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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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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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The Revolution is Here: Generative AI and Project Management

Planview

But in the wake of generative AI technology, we’re on the brink of a transformative change in how projects are managed. Vendors who dismiss generative AI as just another flash-in-the-pan will see their customers run for the exits toward more sophisticated and user-friendly solutions.

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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. Suggest mitigation strategies for the top five high-impact risks.”

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Project Management & AI: Bring It On

Velociteach

One could easily envision expanding those capabilities by applying generative AI to other industries and domains. Dependencies could be automatically generated and alternative paths identified. could simplify creating the project schedule and documenting underlying assumptions, constraints, and risks.

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Project Management and Artificial Intelligence: Bring It On!

The IIL Blog

One could easily envision expanding those capabilities by applying generative AI to other industries and domains. Dependencies could be automatically generated, and alternative paths identified. could simplify creating the project schedule and documenting underlying assumptions, constraints, and risks.

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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. Lohr, “ The A.I. Revolution Is Coming.