Asia Climate Forum

19 - 21 June 2024 Sands Expo & Convention Centre Singapore unveils weather & climate generative AI in first-of-its-kind launch

Posted 31st March 2023

news 336, the world’s leading weather intelligence and climate adaptation platform, today announced the industry’s first weather and climate generative AI. The interactive product, nicknamed Gale, is a premium feature that will be used by select customers within’s platform leveraging generative AI for specific use cases that can be customized to user needs and goals.

In an era of numerous generative AI product launches across industries, Gale stands out as the first dedicated to weather and climate. Gale addresses the challenge that global businesses and governments face in processing vast amounts of weather and climate data, enabling them to easily identify key trends, risks, and opportunities and share their insights with their teammates and colleagues.

“With the launch of our new generative AI assistant, “Gale,” users can effortlessly convert the myriad of climate and weather insights the Tomorrow Platform is renowned for into a succinct, visually appealing, and shareable outlook ” said Cole Swain, VP of Product at “This is just the beginning of an exciting journey for Tomorrow and our customers. The emergence of generative AI has unlocked a new chapter in the way our team sees customers engaging with critical weather data. We envision a future where our users are making confident decisions around their weather and climate operations in ways previously unimagined.” ”

Directly within’s weather intelligence platform, users can incorporate any customized set of inputs based on location, 40+ weather parameters, frequency, intensity, and more to highlight the most important trends based on operating goals. The ability to quickly analyze millions of data points in an instant empowers smarter decisions for proactive climate adaptation and resilience. Gale summarizes  the underlying details of the weather events Tomorrow users have set the Platform to monitor for across their operation and compresses all of these details into one easy to read synopsis.

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