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The evolution of weather intelligence
In our previous blog in this three-part series, we examined specific kinds of weather data and how they can be used to help organizations improve decisions. Now we’ll take a look at the evolution of weather intelligence and ways it can improve efficiencies and operations in the future.
Mastering and using geolocation to generate intelligence required an entire generation’s best brains to create analytical and decision support tools. These tools have provided tremendous economic advantages through new business models and effective, real-time asset monitoring. Mastering and generating intelligence around the weather will likely prove similar as the industry leverages the intelligence of the former geospatial generation.
Future uses of geo-referenced weather data could include:
- Utilities and Independent Systems Operators (ISOs) could integrate weather data to automatically cycle down wind turbine blade speeds to protect them from an impending storm — no human monitoring of conditions required.
- Facilities managers at high-tech school campuses using weather forecasts for their precise location can know when to turn on ice melt systems. For example, systems could be turned on late Sunday evening, ensuring clear, safe pathways for Monday morning arrivals.
Just knowing the current weather at a location and acting on it will become a dated means of managing weather threats. As systems instead begin incorporating real-time weather intelligence into decision-support applications, weather-based predictive analytics will become the cornerstone of operational decision-making.
