Weather Company co-pilot turns one forecast into stories for every screen
Cartoon · AI-generated
The Weather Company has launched an AI tool that helps local weather teams find supporting data, match archive assets and adapt a single forecast for television, streaming, websites, social media and apps.
The Weather Company has introduced Weather Story Assist, a new AI-driven co-pilot designed to help local weather teams turn a single forecast into tailored stories for linear television, streaming, websites, social platforms and mobile apps. According to the company, the tool sits inside its Max Cloud platform and is intended to speed up story preparation while helping broadcasters produce more distinctive local output without adding staff.
The system is built to search for supporting material behind a forecast, surfacing historical context, record data and possible story angles that can be traced back to their source. It also scans a station group’s secure Max Cloud library to recommend relevant scenes, graphics, archive footage and other assets in a way that reflects the outlet’s own brand and editorial style, the company said.
Steve Ward, senior vice president and general manager for enterprise media at The Weather Company, said Weather Story Assist was meant to help station groups “stand out on every screen, not just the six o'clock news”. In remarks published by the company, he said the product removes much of the manual searching and preparation that can slow down newsroom workflows, while leaving local meteorologists in full control of every script, graphic and story element.
The company has also said the product is being developed with additional functions, including layered personalisation, sharing content across markets and automatically adapting material for vertical formats and different platforms. It says the service operates entirely within a station group’s private Max Cloud environment and learns only from that customer’s proprietary content, brand rules and usage patterns, rather than from external customers or shared datasets.
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Source: Noah Wire Services · Original