• The Weather Company is bringing AI tools to make weather videos, with ReelSphere as the video creation tool.
  • ReelSphere adds captions, graphics, and hyperlocal weather information to video reports and allows users to add an AI voice.
  • The tool can be edited if the AI makes mistakes, and the scripts or information used will still be written by humans.

OUR TAKE
The launch of ReelSphere by The Weather Company is a significant step forward in the field of weather forecasting. The use of artificial intelligence tools can greatly improve the efficiency and accuracy of weather videos. Automatically adding captions, graphics, and hyper-local weather information overlays can provide viewers with more detailed and up-to-date weather information. Adding an AI voice that sounds like a local meteorologist can also make weather forecasts more engaging and personalised. Additionally, in today’s fast-paced world, people need real-time information on a variety of platforms, and tools like ReelSphere can help local meteorologists meet that need. I therefore see ReelSphere as a positive development that can improve the quality and accessibility of weather forecasts.
-Summer Ren , BTW report

The Weather Company recently launched a new video production tool called ReelSphere. The tool automatically adds various elements to video weather forecasts such as captions, graphics and local weather information. It also provides an artificial intelligence voice similar to that of a local meteorologist. Using a large-scale language model, it can connect to a company’s weather system. Users can edit errors made by the AI. It aims to assist local meteorologists in providing real-time weather on different platforms.

Introducing ReelSphere

Designed for broadcasters and other clients, ReelSphere is a video production tool that lets users add an AI voice that sounds just like the local meteorologist, along with visuals, subtitles, and overlays of hyperlocal meteorological information.

ReelSphere generates all those graphics that show temperature or radar information for a specific area, as well as the quick weather forecast updates that people typically see when they watch the local news.

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The role of AI in weather forecasting

The Weather Company announced ReelSphere on Thursday. This remarkable tool not only utilizes a large language model to pull location-specific graphics but can also be connected to the company’s weather information system, Max. Max serves as the platform that aids in creating the maps pointed at by meteorologists in front of a green screen. Crucially, if the AI makes a mistake, users can still go into ReelSphere to edit the information. The Weather Company’s head of enterprise media and new verticals, Joe Fiveash, mentioned in an interview that any script or information employed by ReelSphere will still be crafted by humans. Their ultimate goal is to streamline the process for local weatherpeople to present real-time weather information on various platforms.

Typically, meteorologists consistently produce these videos and are required to modify the details for each location and hour, as Fiveash mentions. There are numerous additional platforms for them to disseminate the weather, and we anticipate that ReelSphere can assist them in keeping pace with the demand. Fiveash states that the AI within ReelSphere draws weather information from The Weather Company’s API as well as other data sources being utilized by its clients. We are still awaiting a response regarding the time when this tool will become accessible; nevertheless, any instrument that can contribute to the return of hyperlocal news could be a positive development.