Digital Twins for Sustainability: Simulating Scenarios Before You Invest
Simulation-based digital twins let organizations test investments, cut emissions, and reduce risk by forecasting energy use, maintenance, and costs.
From Data to Decisions: Turning Asset Analytics into CAPEX Savings
Centralize asset data and use predictive analytics to prioritize investments, cut CAPEX, reduce downtime, and meet sustainability targets.
Climate Change Adaptation for Aging Assets: Where to Invest First
Assess asset vulnerabilities, prioritize flood, heat, and utility upgrades, and use risk-based frameworks to guide cost-effective climate adaptation for aging infrastructure.
Building a Governance Model for Asset Investment Decisions
Build a governance model to align asset investments with strategy, reliable data, audit-ready processes, and sustainability goals.
Machine Learning in Maintenance: What You Can Realistically Expect
Machine learning can cut maintenance costs and downtime, but gains require good data, team alignment, focused pilots, and integration into workflows.
10 Red Flags That Your Aging Asset Portfolio Is Under-Invested
Spot 10 red flags of an under-invested aging asset portfolio—rising failures, deferred projects, poor data, and missed sustainability goals; adopt lifecycle, risk-based planning.
Building Multi-Year Investment Scenarios in Days, Not Months
Build CAPEX and OPEX multi-year scenarios in days using centralized data, predictive models, and automated scenario generation to reduce costs and meet sustainability goals.
7 Common Asset Investment Planning Mistakes (and How to Avoid Them)
Avoid seven common asset investment planning mistakes—adopt risk-based, data-driven lifecycle planning to cut costs, reduce failures, and meet carbon goals.
Financing the Green Transition: How to Use Your Investment Plan to Access Sustainable Funding
Build data-driven, ISO-aligned investment plans to secure U.S. green funding—tax credits, loans, and audit-ready reporting for decarbonization.
Quick Wins First: How to Launch a Predictive Maintenance Pilot in 90 Days
A focused 90-day framework to prove predictive maintenance value quickly by targeting 15–50 assets, building baselines, validating alerts, and measuring ROI.