AI-1202 - USA (Colorado) - GLOBAL - Risk-Based Prioritization Critical Valves Service using Limited Utility Data and Machine Learning - Deadline August 14,2026

– Vendor needs to provide risk–based prioritization critical valves service using limited utility data and machine learning. • Develop a data–efficient machine learning model to estimate Likelihood of Failure (LOF) of valves using commonly available utility data, including asset attributes, condition indicators, environmental factors, and geohazards.• Develop Consequence of Failure (COF) analysis based on hydraulic modeling and network connectivity to quantify service disruption, affected population, outage duration, and community impacts resulting from valve inoperability or failure.• Incorporate uncertainty in asset condition and operability into risk estimation and prioritization.• Create a practical, risk–based framework to rank critical assets for maintenance, rehabilitation, and capital investment planning.• Needed to perform reliable risk–based prioritization.