Inflation, labor shortages, and material volatility are making construction costs harder to predict; use indices, scenario planning, and risk-adjusted models to protect budgets.

AI, real-time monitoring, digital twins and climate/supply-chain data are reshaping risk scoring, underwriting, and compliance across real estate portfolios.

Five practical steps to value distressed commercial real estate using income: identify distress, normalize NOI, model cash flows, set rates, and adjust value.

Use data analytics to match skills, forecast demand, and monitor teams in real time—cutting delays, false dispatches, and labor costs while boosting productivity.

Federal agencies must benchmark energy, water and space to meet EISA 432 and new 2025 utilization rules, exposing idle space and enabling asset optimization.

How falling immigration and labor shortages are slowing construction, raising costs, and shifting rental demand—data-driven insights for real estate.

AI analyzes market, property, and regional data to deliver street-level multifamily rent forecasts that improve underwriting, stress testing, and portfolio decisions.

How the OBBBA reshapes commercial real estate taxes: permanent 100% bonus depreciation, higher Section 179 limits, Opportunity Zone updates, and expiring energy incentives.

How rent-control laws squeeze NOI, raise delinquencies, and depress property values — and how modern analytics platforms can help owners mitigate risk.

How real-time analytics and AI speed transactions, improve pricing accuracy, and enable hyperlocal marketing for better ROI in real estate.

Connected buildings and third-party tech make real estate portfolios prime targets for phishing, ransomware, and smart-system hacks.