Blog Posts

Construction-tech is a man’s world — but it doesn’t have to be. People Ops Associate Freya McDonnell reveals how nPlan is trying to level the playing field.

Since we launched Barry, our project controls AI, back in June, we’ve shared several videos of it ‘thinking’ and chatting with users - but we haven’t revealed much about what’s going on ‘under the hood’ - until now, that is 😲

Join Carlos Ledezma, Product Manager at nPlan, on an exciting journey to optimize your Machine Learning projects. Learn how Docker can revolutionize your ML infrastructure, making code portable, reproducible, and easily deployable. Explore practical examples and expert insights to unlock the full potential of Docker in ML engineering. Dive into this blog now to elevate your career in Machine Learning!

Today we're launching nPlan AutoReport, a new standalone tool which uses a world-first Generative AI system specifically designed for the needs of project controls reporting. Consider this your essential guide to our newest game-changing product.

In the past five years at nPlan I have been lucky enough to work on the deployment of ML-powered products in an industry that has seen little adoption of AI technologies in general: management of large capital projects. In this post I would like to share one success story and why I think it worked.

Project management professionals are time-constrained, so getting a quick pulse on major construction projects is vital. However, dashboarding tools like PowerBI and Tableau are limited and the data can be biased. The alternative is to flip through pages of information on your own. There is a better way - and nPlan's Taylor Burns knows what it is...

What can retro videogame OutRun teach us about project management? According to nPlan Product Manager and Principal Risk Engineer Richard Bendall-Jones, a lot more than you might think...

In early 2022, nPlan conducted a study on close to 500,000 schedules and found that around 80% of projects are delayed.

Alan Mosca and Georgia Stillwell explore how machine learning surpasses human expertise in risk forecasting. They discuss the limitations of human judgment in traditional risk management, emphasizing overconfidence and inaccuracy in estimating probabilities.

nPlan CTO and Co-Founder Alan Mosca and AACE legend John Hollmann's MANIFESTO for 21st Century project controls

In my last post, I explored the phenomenon that while most activities on projects are delivered on time, most projects are delivered late. I introduced the concept of long-tails in distributions and how it’s the activities that reside in these long-tails that cause most of the delay in projects.