Events Generative AI PMO Process 
MPUG
APRIL 1, 2024
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.
MPUG
MARCH 8, 2024
Live Event: Copilot Studio and the PMO – Creating a Capable and Useful AI Assistant Wednesday, March 20, 12:00pm – 1:00pm EST Earn 1 PDU: 1 Ways of Working Click to register now and join us live! Generative AI capabilities in Copilot Studio Copilot has a few different ways to improve its AI capabilities.
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MPUG
MAY 10, 2024
I sincerely believe that understanding and implementing standardized and proven processes has helped. I also believe that in the recent past, Agile principles, processes and techniques have added to our improved success rate. We can’t just keep chasing the latest incremental improvements in the process. We need to leap!
MPUG
APRIL 29, 2024
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.
NimbleWork
JANUARY 9, 2024
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. A workflow is a set of steps that make up a process. That’s where AI comes in. Let’s define what we mean by workflow before we go any further.
Epicflow Blog
JANUARY 12, 2024
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.
MPUG
MARCH 15, 2024
At its core, AI involves the creation of machine learning (ML) models, which are trained using vast amounts of data. By learning from these instances, AI can highlight potential risks early in new projects, allowing teams to develop mitigation strategies proactively.
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