Dev Amratia

CEO and Co-Founder, nPlan

Dev is a chartered engineer and the Co-Founder and CEO of nPlan, a machine learning company that learns how completed construction projects performed to forecast the outcomes of future projects. nPlan delivers a new paradigm in the management of risk and uncertainty. 

Dev’s experience is in delivering construction projects for the energy industry, spanning 3 continents over 9 years. Following this, Dev worked within the UK government to launch and deliver the national review on AI, which was published as part of the Industrial Strategy in 2017.

Dev has a strong passion to change the way projects are delivered through data-enabled decision-making. nPlan has scaled to operate in 8 countries and has processed schedules representing over $1.6T of construction spend, the largest dataset of its kind in the world.

Session: Using AI to forecast and de-risk project delivery

The Transpennine Route upgrade is a complex, multi-billion pound programme comprising numerous interdependent rail improvement projects across the North of England. Effective management of cost, schedule, and risk across the entire programme portfolio is critical for on-time delivery. This presentation will highlight how cutting-edge artificial intelligence is being applied to quantify and act on delay risk-reducing or avoiding project delay.

Specifically, technology platforms can leverage advanced machine learning algorithms to analyse disparate data sources, identify trends and patterns, model uncertainties and predict future performance of any construction project. This enables proactive risk management by flagging issues early, before they escalate. The AI models also allow for testing of "what-if" scenarios to optimise the programme.

This talk will explore how AI can reliably quantify delay risk and provide actionable insights to project teams, including the potential impact this could have with insurers and project financiers.