Managing Weather Damage w/Machine Learning to Benefit the Environment
Seasonal weather conditions put tremendous strain on critical infrastructure in several industries. Data collection is optimized with digital tools that make assets in oil, gas, water, wastewater, and energy run more efficiently, reducing environmental pollution in the long-term.
Real-time alerts sent to management quickly identify and address equipment repairs. Regulatory compliance becomes easier. The marriage of machine learning with renewable thermal energy reduces carbon emissions in the way that removing thousands of cars from the road benefits air quality. How does this work?