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AI-driven weather confidence: The key to informed decision-making

8.19.2024//Xcast, Educational, Xweather Insight, Generative AI

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Confidence is paramount when operational decisions can affect both lives and profitability. Weather forecasting is far more than just small talk.

Anastasia Manner

Marketing Manager

Turning weather intelligence into weather confidence

In 2022, the U.S. faced 18 weather and climate disasters, each costing over $1 billion, with total expenses reaching at least $165 billion. As severe weather’s impact escalates, businesses urgently need reliable weather intelligence. Confidence is paramount when operational decisions can affect both lives and profitability. Weather forecasting is far more than just small talk.

Traditional weather forecasts often fall short for weather-sensitive businesses. They tend to be too general, covering wide areas and failing to reflect the precise conditions at specific locations or meet the critical thresholds that businesses rely on.

Precise, localized weather data tailored to specific business thresholds is essential, and that’s where artificial intelligence excels. While AI has long been used in weather forecasting, recent advancements have vastly improved its capabilities. At Vaisala Xweather, AI technologies deliver impact far beyond market standards. They provide detailed, actionable insights, enabling companies to manage operations confidently and avoid the pitfalls of standardized forecasts.

Creating AI-enhanced forecasts that businesses rely on

Xweather is part of Vaisala, a company with a rich history in the weather industry dating back to its founding in 1936, when MIT became its first customer. Today, Vaisala is the backbone of global weather infrastructure, trusted by leading organizations worldwide. At Xweather, we combine Vaisala's state-of-the-art hardware with advanced AI algorithms to create hyperlocal, customized weather forecasts—a technology we call Xcast.

With Xcast, data is gathered from key locations that impact your business and combined with other comprehensive datasets before being processed through a proprietary AI platform. The result is a high level of weather confidence that empowers businesses to make critical decisions at the right time and place. Vaisala’s sensors are renowned for producing the highest quality data in the world, which is essential for AI-driven forecasts. In weather-sensitive industries, where the difference between 0°C and -1°C can be crucial, having accurate, reliable data is vital. This is why Vaisala’s sensor hardware is a wise choice, especially when that data can literally save lives.

Redefining accuracy in weather forecasts

Xcast enables personalized weather forecasts that have shown accuracy improvements of up to 78%. For example, in energy demand forecasting, Xcast reduced the number of large errors (2.5+°C) by more than 58% for a 24-hour forecast and by 48% for a 48-hour forecast compared to standard weather forecasts.

Xcast’s possibilities extend beyond improved atmospheric forecasts; it will also significantly impact the future of autonomous driving by enhancing road safety. Xcast provides road surface data, including conditions like slush, snow, and wet roads, helping autonomous vehicles anticipate and respond to conditions beyond their sensors’ reach. This improves decision-making, maintains traction, and prevents accidents.

Ultimately, Xweather empowers organizations to make crucial weather-driven decisions that enhance safety and profitability. More importantly, it shifts the focus from ‘collective responsibility’ to individual accountability in environmental stewardship. With the right data, every business can contribute to a better planet—whether by predicting and mitigating natural disasters, optimizing food and energy distribution, or reducing waste. The possibilities are endless.


Explore the possibilities of AI-enhanced weather forecasts for your business with Xweather Insight:

Anastasia Manner

Marketing Manager

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