Blog Posts

nPlan AutoReport has been specially designed to meet the reporting needs of project professionals - the question is, can you achieve similar results with ChatGPT, the GOAT of chatbots? Dive in to find out!

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.

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 😲

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.

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.

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

As Pride Month 2022 draws to a close, nPlan Principal Risk Engineer Richard Bendall-Jones discusses the importance of diversity, equity and inclusivity to effective risk management

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!

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.