AI’s Impact on Project Management: Insights into Microsoft’s Efforts, PMOtto, and EU Regulations, post #12

Microsoft continues its improvements on Artificial Intelligence. And so does the community, with more content that is of interest to Project management and the PMO at large. And, the EU is getting closer to AI regulations, what does that mean for us?

PS: the title is different this time, it was generated by ChatGPT based on the content of this article. Find the previous articles here.

Artificial Intelligence created this image based on the prompt: Work breakdown structure with 3 summary tasks, each with 2 tasks and a milestone that are connected, modern, pencil drawing
Work breakdown structure with 3 summary tasks, each with 2 tasks and a milestone that are connected, modern, pencil drawing.

A 1-hour webinar to increase your productivity with AI

Peter Kestenholz and the people from Trusted IT Group were online a while back. And the webinar was recorded and is available on YouTube now.

The great thing about the webinar is that a big part is a live demonstration of what Artificial Intelligence can do for the users of Power PPM (our Project and portfolio management solution build on top of the power platform).

Peter’s introduction on AI starts at 5 minutes

If you are more interested in the demo, this starts at 30 minutes

And if you are interested in Security and Costs, you can jump in at 50 minutes


Subtitled as “Your Ai-powered assistant for all thingsĀ Project Management.” It’s currently in beta, and I’m on the waiting list.

But the fact that there’s a specific AI for our target audience is brilliant of course. Get on the waiting list yourself by clicking on the link.

EU regulations on Artificial Intelligence

The EU is digging in to get legislation on AI. I think it’s a good thing to align AI to our standards and morals. I do also think it will be a very difficult thing to do. As we all know, there are different opinions on almost everything and (the use of) AI is no different here.

The below article relates to a law that will obligate content creators to mention in their article that the content was (partially) created with the use of a LLM.

The Microsoft Responsible AI toolbox

Microsoft is also keen on getting AI out and have it operate for the betterment of humanity. We have discussed this in previous articles as well. And I’m happy to see that there is now a toolbox available from Microsoft that helps you finetune your models to make them more responsible.

Responsible AI dashboard is designed to achieve the following goals:
– To help further accelerate engineering processes in machine learning by enabling practitioners to design customizable workflows and tailor Responsible AI dashboards that best fit with their model assessment and data-driven decision making scenarios.
– To help model developers create end to end and fluid debugging experiences and navigate seamlessly through error identification and diagnosis by using interactive visualizations that identify errors, inspect the data, generate global and local explanations models, and potentially inspect problematic examples.
To help business stakeholders explore causal relationships in the data and take informed decisions in the real world.


You can get the toolbox by navigating to the source above.

Project Orca

Microsoft researchers have developed Orca, a 13-billion parameter model that learns explanation traces from GPT-4. Through incorporating detailed explanations in the learning process, Orca significantly improves the performance of existing instruction-tuned models. The results of rigorous evaluations demonstrate Orca’s superiority over state-of-the-art models, indicating its potential for real-world applications. This innovative approach holds promise for fully unlocking the potential of large foundation models and driving progress in natural language processing. (Summary of the article, provided by Bearly)

Read a article on the new Project Orca AI.

Key Use cases for ChatGPT (Thanks Zain)

Zain Kahn is the author of the previously mentioned Superhuman mailing list. He shared a recent cheat sheet on LinkedIn that I’d like to quote here on the blog.

In his post he mentions the sheet as well as shares it on the post itself. One key component is the use cases. I think it was well described so let’s have it on this blog as well:

  • Improve your writing
  • Delegate your research
  • Learn new skills
  • Use 80/20 to learn faster
  • Summarize long texts, articles and reports
  • Simplify and understand complex documents
  • generate new ideas
  • Simplify and learn complex topics

The sheet also contains useful prompts to you start you of.

Final notes

We can safely say that Artificial Intelligence has continued to make waves in various sectors, including project management, with companies like Microsoft working towards developing responsible AI tools. Additionally, the EU is also pushing for regulations in AI, aligning it with our standards and morals. This development shows that the world is rapidly changing, with AI becoming an important part of our lives.

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