Insights & Best Practices
Stay ahead with expert insights on asset management, energy strategy, and digital transformation. Discover success stories, product tips, and in-depth articles from the teams building tomorrow’s infrastructure intelligence.
Machine learning can cut maintenance costs and downtime, but gains require good data, team alignment, focused pilots, and integration into workflows.
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.
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.
Avoid seven common asset investment planning mistakes—adopt risk-based, data-driven lifecycle planning to cut costs, reduce failures, and meet carbon goals.
Build data-driven, ISO-aligned investment plans to secure U.S. green funding—tax credits, loans, and audit-ready reporting for decarbonization.
A focused 90-day framework to prove predictive maintenance value quickly by targeting 15–50 assets, building baselines, validating alerts, and measuring ROI.
Five-step risk-based framework for bridges, tunnels, and roads: centralize asset data, assess risks, prioritize projects, run scenarios, and align with ISO 55001.
Low-cost steps to cut commercial building energy 15-40%: centralize asset data, run audits, optimize ops, test retrofits, and track savings to fund upgrades.
Translate asset investment data into board-ready decisions: tie ROI, risk reduction and sustainability to a one-page summary, clear visuals and scenario comparisons.