Amagi launches Tornado, a machine learning augmented content preparation suite

Amagi, which deals in cloud-based technology for media processing, has announced the launch of Tornado, a machine learning-based content preparation service that enables TV networks and content owners to scale their operations, accelerate broadcast workflows, generate new revenues and reduce operational costs. Tornado is a first-of-its-kind, cloud-based machine learning-augmented content preparation suite that tackles content preparation challenges head-on. Amagi Tornado is conceptualised as a suite of machine learning-based content preparation services that dynamically evolves as machines learn more about each segment of a video asset as they process higher volumes of content. Tornado can cater to the unique preparation needs of TV networks, content owners, vMVPD platforms, and digital-first networks with the company planning to continually expand the suite functionality and capabilities to optimise the entire broadcast workflow. Factory-scale VOD segment creation: Linear broadcast model is highly reliant on sophisticated processing of video for ad break points identification, credits, color bars and blacks.