Thursday, 12 September 2024

AI-MEDIA AND ITV ANNOUNCE LANDMARK PARTNERSHIP TO REVOLUTIONIZE CAPTIONING SERVICES

LONDON, Sept 10 (Bernama-GLOBE NEWSWIRE) -- AI-Media, the global leader in AI-powered captioning and translation services, is proud to announce a new partnership with ITV, the UK’s largest commercial broadcaster. This collaboration marks a significant step forward in the use of AI captioning technology to enhance accessibility and operational efficiency across ITV's extensive broadcast network.

David Padmore, Director of Accessibility for ITV, emphasised the importance of this partnership in advancing ITV's commitment to adopting new technologies. "At ITV, we are constantly seeking innovative solutions to improve our services and meet the diverse needs of our audience. Working with AI-Media has allowed us to take advantage of cutting-edge AI to streamline our captioning workflows while maintaining the highest standards of accuracy and reliability."

The partnership centres on the deployment of AI-Media’s LEXI live automatic captioning solution, which integrates seamlessly with ITV's existing infrastructure. The collaborative effort between AI-Media and ITV has resulted in a technology architecture tailored to the broadcaster's complex requirements, including its 18 regional news variants. The solution will utilise AI Media’s SDI Encoder Pro Cards to deliver LEXI captioning as VANC embedded data into ITV’s existing architecture and will be operated by ITV’s expert Access Services team. AI Media’s Alta product will also be used for ITVX and other IP video workflows.

Traditionally, ITV’s regional news captioning involved a manual workflow with significant staffing requirements. The shift to automation through AI-Media's LEXI is expected to dramatically impact resourcing, leading to significant efficiencies and cost reductions. The automation of workflows allows ITV to provide more captions, enhancing accessibility for its viewers. Additionally, the LEXI system's increased reliability and reduced latency are expected to improve the overall quality of service. 

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