Bannister Lake To Embrace NDI® Workflow

Bannister Lake is to embrace the NDI® workflow with its powerful Chameleon data aggregation solution.

For producers working within the NDI ecosystem, Chameleon provides a straightforward method to bring live data directly into their productions. Chameleon reads multiple data sources, including news, weather, sports, traffic, social media, and financial data content, allowing users to edit, moderate, and customize their data. Using Chameleon's Query functionality, data can be parsed at a granular level, enabling producers to select subsets of data to target viewers. The solution automates the flow of data to endpoints, ensuring that content is consistently relevant and timely. In turn, using Chameleon's RESTful API, data content can be reformatted for distribution to virtually any device or endpoint.

Chameleon also extends NDI well beyond broadcast as a data aggregation solution for eSports esports and digital signage, providing producers with new business opportunities. eSports esports events — broadcast, streamed, or in-venue — benefit from Chameleon's ability to read and display important game-related data feeds and provide fans with score boards, player profiles, standings, and other key data. Live data is an integral part of digital signage, keeping viewers updated with the latest news and information.

"We are excited by the growing popularity of NDI-supported solutions and the significant number of downloads of the NDI SDK," said Georg Hentsch, president, Bannister Lake. "Chameleon adds an entirely new level of NDI production professionalism by allowing users to manage and display highly relevant and timely data content that their audiences demand."

In addition to managing traditional editorial data content, Chameleon provides an ideal solution for producers who require a way to display local and hyperlocal content, including election results, school closings, and event calendars. In addition, Chameleon's custom data feature can ingest data from Google Sheets, providing an opportunity to integrate local sports data content.

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