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Microsoft Copilot Explained: Generative AI Chatbots for Business

MPUG

Copilot Studio, formerly known as Power Virtual Agents, is Microsoft’s solution for easily creating AI-powered chatbots and virtual assistants. Microsoft’s vision for generative AI revolves around creating AI copilots that can assist humans in various tasks and scenarios.

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Revolutionizing Project Management: The AI-Driven PMO and Its Transformative Potential

MPUG

As PMO Leaders, we need to adopt a fresh perspective. Source: But let’s back up and take a closer look at that definition again; “AI is the capability of a computer program or machine to mimic human-like behavior.” The Future PMO The future PMO lies in the successful integration of AI into our daily operations.

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Meet the MPUG Expert: Interview with Erik van Hurck

MPUG

With over 15 years of experience, Erik has become a go-to resource for enterprises looking to leverage the latest Microsoft technologies like Power Platform and Copilot Studio to drive PMO transformation. We connected with Erik to hear about his journey in project management, his perspective on generative AI, and some of his best PM advice.

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Harnessing the Power of AI in Project Management Workflows

NimbleWork

Workflows are an essential part of any project management process, so that is a good place to start when considering how to add AI power to your working practices. The steps could be tasks, approvals, events (for example, a particular meeting), or other types of interactions that take place between two or more colleagues.

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2024 Events for Project Managers, Business Leaders, and Industry Professionals

Epicflow Blog

Check out our selection of events for project/resource managers, business leaders, and industry professionals, which will provide you with valuable insights into recent trends and challenges, networking opportunities, and contribute to your professional development.

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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 capability enables better planning and time management, reducing the risk of schedule slippage.