Webinar | Quantifying Uncertainty in the ai infrastructure boom

On-demand 

From volatility in CAPEX-OPEX and energy prices to the rapid obsolescence of AI chips, data-center projects face unique financial risks—leading organizations to ask a critical question: How can multi-million-dollar AI infrastructure projects be evaluated amid extreme uncertainty?

Join Manuel Carmona, Risk and Decision Analysis Specialist at EdyTraining, Ltd., to learn how Monte Carlo simulation can be used to model the probability of achieving a target Net Present Value (NPV) for a large-scale AI data-center investment, comparing alternative build-lease-operate strategies under uncertainty.

In this session, you’ll learn how to:

• Capture uncertainty that traditional deterministic models can’t represent
• Model variability in key cost, schedule, and revenue drivers
• Assess the likelihood of achieving target financial outcomes