Are sprints still helping teams become more agile, or are they becoming a process that teams follow simply because they always have? And what should teams do instead?
Continuity can be fragile in healthcare. A portfolio perspective does not replace clinical expertise; it reinforces the underlying architecture that makes it possible. It brings coherence to decisions, stability to operations, and a more consistent experience.
The role of the project manager continues to evolve, and it’s hard to nail down exactly will be needed as time moves forward. But business acumen and sustainability are becoming essential parts of our occupational evolution.
The World Cup has thrilled a global audience with amazing feats of athleticism and jaw-dropping comebacks. But did you know it's also the perfect showcase for agile project delivery?
For years, effort was relatively predictable in story points. AI is starting to change that. That creates an uncomfortable question for agile teams: If story points are meant to represent effort, what happens when effort suddenly becomes harder to define?
I'm keen to delve into your tools for working with Generative AI data. What tools and resources do you find indispensable? From purchasing synthetic data to the apps you use for deploying and fine-t ...
How can AI improve risk assessment in project management and what are its limitations in predicting project risks accurately? As a project manager or project professional are you using AI to identify ...
Hello everyone!I am very new to the project management field. I recently passed my CAPM exam on May 15th 2026 and what I am looking for is a way to get hands-on experience so I can apply what I learne ...
Generate a structured project risk assessment by indentifying potential risks, their impact, likelihood, mitigation strategies, and recommended actions. [start-prompt:] You are an experienced Project ...
Informal authority runs quietly underneath every org chart. How to spot it, how to read it, and why formalizing it always backfires.Today, we will continue talking about the important role of managing ...
IntroductionFor an Agile team, visual tools such as burn-down graphs, risk charts, and dashboards are essential for tracking progress and aligning teams. However, these tools, when misused, can inadve ...
What signals help you tell different kinds of AI work apart—and what tends to go wrong when everything gets lumped together?Have you ever been in a conversation where “AI” meant different things to di ...
Designing Human–AI Decision SystemsOrganizations are rapidly increasing the autonomy of intelligent systems.AI systems recommend.Agents decide.Workflows execute.Thresholds trigger actions.Models adapt ...
Artificial intelligence and machine learning projects have a lot of schedule uncertainty due to the time needed to train a model to perform subjective work. It's important to recognize the differences from managing a traditional software project.
Practical, day-to-day AI tools are already at your disposal. The project managers who know how to work with these tools are delivering differently—and better—than those who do not.
Project cancellations are among the most challenging moments a project manager can face—both professionally and emotionally. This article explores how to lead with clarity, integrity and emotional intelligence when a project must end before its completion.
PMI interviewed executives from a range of industries about how AI is changing the way organizations operate and what it means for enterprise agility. Their perspectives reveal how AI expands what agile organizations are capable of achieving.
This growing collection of enterprise agility content—including executive interviews, thought leadership articles, blogs and webinars—explore what it takes to lead, enable and sustain agility across the enterprise.
To be optimally effective, AI tools need to consume massive amounts of historical data as part of their training, learning how organizations work so that they can provide the most appropriate guidance. Is your historic data at least reasonable?
Following the webinar “From Learning to Practice: Applying the CPMAI Methodology on Real-world AI Projects,” PMIxAI Ambassadors Yahiro Takegami and Jung Soo Kim share how they apply the CPMAI methodology in their everyday work—and what they have learned along the way.
ProjectManagement.com presents a full day of live learning, practical takeaways, and on-demand resources to help you build AI confidence—and earn PDUs along the way.
Join us for an insightful presentation on "The Evolution of PMO: Rise of a Chief Project Officer," a groundbreaking book that has evolved into a global movement within the project management community.
***This is a PMI-Led Webinar*** Your AI tools are only as powerful as you make them. In this hands-on session, we'll use PMI Infinity™ to walk through a reusable framework for using AI tools in real project management work, showing how prompting thoughtfully, using agents, and consolidating project context can help you enhance output quality while reducing task completion time.
Ethics Under Pressure: Why Good People Make Dangerous Decisions challenges one of the most comfortable assumptions in professional life: that major ethical failures are mainly caused by bad people.
A panel discussion designed for the project management community, exploring how to build and sustain a strong, safe, and diverse culture across fully distributed teams. The panelists with complementary perspectives, spanning leadership, distributed team management, and Culture strategy, will share practical frameworks that project managers can apply when leading or collaborating within virtual, cross-cultural teams.
In this interview, Johan Roos frames enterprise agility as a matter of change readiness, rooted in people’s capabilities. He emphasizes leaders’ role in modeling desired behaviors while noting that everyone must build the curiosity, creativity, critical thinking, communication and collaboration needed for continuous change. Roos also discusses AI as a tool to amplify human judgment and concludes that agility requires stronger collaboration across interconnected ecosystems.
Designed for leaders responsible for outcomes, not experiments, this session reframes AI implementation as an execution and change problem—not a technical one—and offers a practical way to move from ambition to impact without unnecessary complexity.
Artificial intelligence is rapidly reshaping how organizations deliver projects, make decisions, and manage risk. This webinar explores the emerging discipline of AI governance and its practical implications for project managers, PMOs, and business leaders.
This session explores what responsible, systemic leadership looks like in a complex Changing World.
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Don't be humble. You're not that great. - Golda Meir |
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