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We are proud to be partnering with nPlan to host:
Man vs machine; the ultimate evaluation of schedule risk analysis.

Sign up is now open! Click here to register!

The world’s best project teams still fail to meet delivery expectations as they rely on the finite experience, unextractable bias and limited processing power of individuals.


During this workshop, participants will learn which data-driven tools to forecast and estimate risk and uncertainty in project schedules. Attendees will be able to decide whether risk analysis is more accurate when employing Artificial Intelligence or the more traditional methods wholly reliant on human inputs and intelligence.

Participants will see how Machine Learning (ML), the branch of Artificial Intelligence best suited to quantitative risk analysis, can be used to quickly understand the risk in a schedule and provide insights on where to take action to mitigate this risk.


Starting with the context for the project and an anonymised Primavera P6 schedule, participants will split into teams and employ the outputs from the machine learning engine to identify impactful risks. Following schedule iteration, attendees will be able to navigate to see the actual outcome of the project. Thus, the audience will be able to establish for itself whether Artificial or Human Intelligence is best placed to assure successful outcomes...

nPlan provides data-driven risk analysis and assurance for capital projects. Employing the power of machine learning on the world’s largest dataset of past construction projects, nPlan can objectively forecast delays and opportunities on the project, which improves outcomes and certainty of delivery.


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