Many organizations mistakenly think that agile is an unstructured framework, where changes are free and future planning is ignored. The result is often a team that is too focused on the near term. The good news is that this isn’t an inevitable outcome.
The integration of AI into agile project management practices enhances project knowledge management. But dangers like data privacy and system complexity raise moral questions that must be addressed.
The shift from project to product has gained popularity, and some organizations have restructured their agile teams in order to make the concept reality. AI may be the catalyst it needs to realize its potential.
PMs often need a compromise for competing needs, one that provides enough long-term clarity to satisfy some stakeholders, while still leaving the ability for the team to change course if needed. One method to do this is rolling wave planning.
While this PM loves the idea of more productivity, she has a question: Where are the challenging problems in project management? Could artificial intelligence help solve those problems?
The agreement marks the beginning of a new phase of global development for Agile Alliance, now operating as PMI Agile Alliance. Together, PMI and PMI Agile Alliance, global leaders in the project and agile communities, create greater opportunities for professionals worldwide to maximize the value delivered through projects, product delivery, and transformations.
Agile spikes are most effective when a team faces uncertainties that are blocking progress. Knowing when to use them is key to keeping the development team on track.
Like virtually every aspect of work, agile delivery is changing—particularly when it comes to software development. For some that’s scary. For others, it’s an opportunity.
Project management and “real life” collide for this practitioner during a personal journey moving to a new country. Discover how embracing "Plan B" can transform both your professional and personal challenges.