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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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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

Generative AI applications in PM (a non-exhaustive summary) As well known to those who work in project management, the typical daily work of a project manager is quite hectic–meetings to conduct or to attend, decisions to make, emails to read, answer, and classify, and interactions with team members. 2] Lohr, “ The A.I.

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Five Green Shoots of IT Project Led Growth

Project Accelerator News

Adding a BA to your headcount might not be top of your priority list right now, thanks to Business Analysis as a Service (BAaaS) you can access BA skills without the costs of hiring new staff. A shift like this necessitates meticulous planning and the kind of change management acumen that your IT Project talent have in abundance.

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Top 10 AI Use Cases Transforming Project Management Across Various Industries

NimbleWork

Performance Monitoring: With AI, construction companies can continuously monitor project performance through real-time data analytics. AI systems can track the progress of construction tasks against established benchmarks, providing immediate alerts if deviations occur.

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Agile Transformation: ChatGPT or McBoston?

Scrum.org

This article is another excursion into this nascent yet fascinating new technology of generative AI and LLMs and the future of knowledge work. Suggestion: Use data and metrics to track progress and adjust the change effort as needed, provide training and coaching on data analysis, and involve employees in the process.

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Artificial Intelligence and Project Management: The First Step

The IIL Blog

Generative AI applications in PM (a non-exhaustive summary) As well known to those who work in project management, the typical daily work of a project manager is quite hectic–meetings to conduct or to attend, decisions to make, emails to read, answer, and classify, and interactions with team members. Lohr, “ The A.I.