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Using Generative AI to Drive Corporate Impact

TechEmpower - Project Management

Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact. This technological integration into software engineering not only enhances the productivity of development teams but also ensures that IT infrastructures are robust and reliable.

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Skills Of A CEO – Within Reach Of A Strategic PM?

The Strategic Project Manager

The ability to adapt to market shifts, technological advancements, and unforeseen challenges – and lead organizational pivots – is critical for success. CEO’s must be agile and adaptable – the ability to pivot – in responding to market shifts, emerging trends, and competitive challenges.

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PM, CEM, and Covid-19: Reflections

MPUG

Here is what is so baffling especially now: all non-US contracts I’ve ever signed include a boiler-plate Force majeure clause, but those are clicked through faster than the legalese on a social media app, and this class of risk is rarely reflected in any of the planning exercises that these contracts pertain to. Use AI, of course!

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What Is Upskilling & How to Build an Upskilling Program

Teamweek

Technology is advancing faster than most can keep up with, and younger, hungrier generations are entering the game. According to research, 81% of managers in tech say that upskilling programs are highly effective in preparing their teams for new projects. Let’s take a look at the adoption of AI technology as an example.

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Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance, and schedule attributes is often uncertain or unknown until late in the program. Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993.

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A Compendium of Risk Management Resources

Herding Cats

Information about key project cost, (technical) performance and schedule attributes is often uncertain or unknown until late in the program. Taxonomy-Based Risk Identification,” Marvin Carr, Suresh Konda, Ira Monarch, Carlo Ulrich, and Clay Walker, Technical Report, CMU/SEI-93-TR-6, Software Engineering Institute, June 1993.

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Webinar Recap: Project Performance Measurement – Part 1: Overview Of Project Performance Measurements

MPUG

Please find below a transcription of the audio portion of Fletcher Hearn’s session, Project Performance Measurement – Part 1: Overview Of Project Performance Measurements, being provided by MPUG for the convenience of our members. Kyle: Hello, and welcome to part one of MPUGs Project Performance Measurement course. Thank you so much.