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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. This allows for controlled experimentation and learning.

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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. It can alert project managers, recommend mitigation strategies, and even generate alternative scenarios.

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Review The AI Revolution in Project Management

Henny Portman

AI can build burnup or burndown charts and analyze them. Monitoring project work performance AI tools can process vast amounts of data, make predictions, generate reports and converse using natural human language. Risk management AI can identify and analyze risks as well as plan responses and monitor progress.

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ChatGPT for project managers: 8 benefits you don’t want to miss out on

Resource Guru

No industry or discipline has escaped the emergence of generative AI, but we’re still in the early stages of knowing exactly what it means and how to use it (fully) to our advantage. What is ChatGPT and generative AI? The world is changing a lot right now—and it’s happening faster than ever. Answer: Certainly!

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What is A System for Value Delivery in Project Management

Project Pulse Journal

Project value delivery drives to fulfill its intended purpose and deliver tangible value that is aligned with the business strategy, with support from both stakeholders and business leaders. With the rise of better technology, generative AI, for example, organizational objectives are put into the spotlight.

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Leveraging AI in Project Management: 8 Areas for Impactful Predictions

MPUG

The foundation supporting this cornerstone is that an organization must be ready for AI. Somehow, all historical data from projects, documentation, metrics, risk analysis, organization goals, and monitoring, external data (e.g., This data is a good starting point, and every single category may not be required.

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Task management software: 9 tools to consider

Wrike

Instead of just showing the task as a card or a line in a spreadsheet, you get a single point of reference, with various trackable statuses, to help you accurately plan your resources and monitor your team’s capacity. Our next-generation AI dashboards also include powerful risk management features. The process is simple.