Using AI to Evolve Monte Carlo Outputs & De-Risk Schedule Updates

• Exploring how AI agents can expedite evaluation of multiple simulation scenarios and support selection of the right project outcome
• Leveraging AI to continuously evolve simulations and provide more real time agility to project changes
• Translating simulation outputs into actionable insights for superintendents, schedulers and project managers to strengthen course corrections

Speakers:

TUSHAR MESHRAM

Section Manager

Burns & McDonnell