Current Status

Not Enrolled

Price

1 credit

Get Started

This course is currently closed

The role data plays in decision-making across all levels of organizations has never been more significant. Especially with the known potential of artificial intelligence, a well-established data ecosystem, and resulting data readiness became crucial factors. But to unlock the potential of big data for improved project delivery performance, project management professionals must invest in their data and AI literacy skills, tailored to the specific challenges, common behavioral and cultural constraints, and typical methods and processes in the project management domain, to enable and unlock the full capabilities of analytics and AI, including advanced methods beyond the GenAI models.

In this presentation, attendees will learn about the necessary shift in thinking project management professionals have to undergo, to unlock today’s data capabilities, shape their profile for an AI-driven future, and drive the effectiveness and success of data, analytics, and AI in projects.

PMI Talent Triangle: Ways of Working

PDUs for this Course: 0.75

MARCUS GLOWASZ

Marcus Glowasz is a trusted advisor and specialist in leveraging data and analytics capabilities in the project management domain. With nearly 30 years of international experience in technology and data-driven projects, he provides guidance and support to project leaders and teams, helping them become data-literate and enable effective data-informed and evidence-based practices that align with the dynamic nature of today’s business environments.

Marcus is the author of the book “Leading Projects with Data” which focuses on overcoming cultural and behavioral barriers to successfully leverage data-informed practices in projects. In 2024, he launched the Projects & Data Academy (https://projectsanddata.com/), following the mission to raise data literacy skills among project management professionals and help establish modern project management practices supported by data, analytics, and AI.

Course Content