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Amagi debuts machine-learning powered content-preparation suite

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MUMBAI: Amagi, a cloud-based technology provider for media processing, has launched Tornado, a machine learning-based content preparation service that enables TV networks and content owners to scale their operations and accelerate broadcast workflows.

Over the last three years, the broadcast industry has had to evolve significantly due to a rise in multi-screen content consumption, demands for “here and now” content and a shift in how consumers are viewing content as more consumers move from cable to over-the-top (OTT) services.

In such an evolving scenario, TV networks, content owners and digital-first networks are creatively trying to grab a piece of the action by trying new mediums and delivery methods to provide better experiences to consumers while streamlining costs and operations. Content preparation, however, continues to require pain-staking hours of manual work and massive overhead costs.

Compared to traditional manual content preparation, the company claims that the suite is nearly six times more efficient, allowing broadcasters free up capital and streamline workflows.

Tornado is a cloud-based machine learning-augmented content preparation suite that tackles content preparation challenges head-on. It is conceptualised as a suite of machine learning-based content preparation services that dynamically evolve 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.

“Given how competitive broadcasting has gotten today, it has never been more important for broadcasters to be able to optimise their operations and spends,” Amagi CEO Deepakjit Singh said.

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