Renewables now operate as real‑time, data‑driven portfolios. SaaS platforms connect assets (solar, wind, hydro, storage, EVs, flexible loads), predict generation and prices, optimize bids and dispatch, orchestrate grid services, and prove outcomes with auditable MRV. The winning pattern is hybrid: robust edge connectivity to SCADA/EMS with safety fallbacks, and a multi‑tenant cloud control plane for … Read more
Manufacturing leaders are standardizing on a hybrid architecture: reliable, real‑time control at the edge and a multi‑tenant SaaS control plane for visibility, optimization, and continuous improvement across sites. Platforms ingest IIoT/PLC/SCADA data, unify it with MES/ERP/QMS, and power closed‑loop use cases—predictive quality, constraint‑aware scheduling, energy optimization, autonomous maintenance, and traceability—governed for security, sovereignty, and audit. … Read more
Energy management has become a continuous optimization problem. In 2025, SaaS platforms unify meter/IoT/SCADA data, forecast load and generation, optimize against tariffs and carbon intensity, orchestrate DERs (solar, storage, EVs, HVAC, heat pumps), and automate participation in demand‑response and flexibility markets. The winning pattern is hybrid: secure edge gateways for site reliability and protocol translation, … Read more
Digital twins only deliver value when they are alive—fed by real plant data, linked to product/process context, and embedded in day-to-day decisions. SaaS provides the control plane that makes this practical: connectors to IIoT/OT and enterprise systems, scalable time‑series and 3D data services, analytics and AI with governance, and workflow orchestration across maintenance, quality, and … Read more
Electric grids are becoming more dynamic and complex: variable renewables, distributed energy resources (DERs), EV charging, and increasingly volatile demand patterns. SaaS turns this complexity into an operational advantage by delivering fast, scalable analytics; secure integrations to utility systems; and optimization engines that orchestrate supply, demand, and storage in near real‑time. The outcome is measurable: … Read more
Pairing SaaS with digital twins turns fragmented industrial data into living models that predict, optimize, and prove outcomes across factories, energy grids, logistics hubs, and buildings. Cloud control planes coordinate models and analytics; edge runtimes keep operations real‑time and resilient—delivering throughput, quality, energy, and safety gains that compound over time. Why combine SaaS and digital … Read more