The term project is too narrow given how it is used in practice. That fact is that you have many types of initiatives underway, including but not limited to projects.
In the Autumn of 2024, I wrote a series of articles about the future of agile and the changes we were experiencing in the agile space. One article summarized my advice for how agilists can move forward in their careers given the ongoing downturn in agile, and one of my suggestions was that agile coaches should consider upping their game…
English is a wonderfully robust language, providing significant wiggle room for how terms are applied. This is particularly true of “data driven” and “data informed”, both of which have been thrown around a lot over the past few years. This leads to the questions: How are they different? and When should you apply each one? Here are my thoughts. Both…
Techniques for Improving Data Quality: The Key to Machine Learning One of the fundamental challenges for machine learning (ML) teams is data quality, or more accurately the lack of data quality. Your ML solution is only as good as the data that you train it on, and therein lies the rub: Is your data of sufficient quality to train a…
Evolving Your Project Management Office (PMO): From PMOs to Value Management Offices (VMOs) to Value Delivery Offices (VDOs) Years ago, organizations created Project Management Offices (PMOs) to guide and lead their project teams through the challenges of the day. But the business environment has changed since then and PMOs are struggling to be relevant. The rate of change is accelerating,…
Artificial Intelligence for Agilists: Are You Ready? Artificial intelligence (AI) is finally coming into its own. Technologies such as ChatGPT, DALL-E, driver-assistance, and autonomous robots are clear signs of an AI-driven market shift. AI technologies are being applied in all sectors of the economy, and your organization is likely to be soon experimenting with AI if it isn’t already working…
Data scientists claim that they spend 80% of their time cleansing data and the other 20% of their time complaining about cleansing data. There is clearly something wrong with this picture, but sadly my own experience can confirm that this seems to be true in practice. In this blog my goal is to explore why the need to perform data…
Artificial Intelligence for Project Managers: Are You Ready? Artificial intelligence (AI) is finally coming into its own. Technologies such as ChatGPT, DALL-E, driver-assistance, and autonomous robots are clear signs of an AI-driven market shift. AI technologies, in particular machine learning (ML), are being applied in all sectors of the economy. Your organization is likely to soon be running projects to…
Disciplined Agile Delivery addresses agile practices across the entire lifecycle, from requirements, architecture, and development to delivery and governance. This book shows how agile practices/techniques fit together in an end-to-end process for successfully delivering large, complex systems-from project initiation through delivery. Coverage includes Scaling agile for mission-critical enterprise initiatives Avoiding mistakes that drive poorly run agile projects to chaos Effectively initiating…
Introduction to Disciplined Agile Delivery provides a quick overview of how agile software development works from beginning-to-end.