LAS VEGAS — Google Cloud announced both new partnerships and new tech advances at the NAB Show, with Viacom looking to Google to automated content tagging, discovery and intelligence for more than 65 petabytes of content.
“To acquire more content intelligence and workflow efficiency, Viacom selected Google Cloud to power its Intelligent Content Discovery Platform. The platform comprises Viacom’s media lifecycle from content creation to distribution and ultimately monetization,” said John Honeycutt, VP of telecommunications, media and entertainment for Google Cloud.
“For example, when new content is produced, Viacom will be able to automatically extract short-form ‘clips’ identifying what’s relevant to a viewer, all to better showcase new content. Through video intelligence APIs, machine learning technologies will detect and automatically flag particular commercials to help create an optimal, personalized viewer experience.”
Google Cloud is also helping Viacom provide better in-context ads placement and its machine learning capabilities are allowing the media giant’s content editors and ad tech teams to have a better understanding of content.
Viacom is also taking advantage of Google’s Customer Reliability Engineering (CRE) model, comprised of a team of Google engineers who collaborate with a customer’s operations teams to share reliability responsibilities for critical cloud applications.
“We needed a partner who not only has the technical prowess but the dedication and collaboration to help us pivot toward a cloud-first strategy,” said David Kline, EVP and chief information and technology officer for Viacom. “One of the most important considerations in selecting Google Cloud was its commitment to ongoing learning and training. The team is the perfect combination of people and technology to help us scale, develop applications, and deliver the best experience to our audiences around the world.”
Google Cloud also announced it is expanding its platform to make it easier to build and deploy AI, with the launch of AutoML Video, allowing developers to can easily create custom models that automatically classify video content with labels they define.
“Companies that deal with mountains of diverse video data can instantly discover content according to their own taxonomy,” said Rajen Sheth, director of product management for Google Cloud. “This means media and entertainment businesses can simplify tasks like automatically removing commercials or creating highlight reels, and other industries can apply it to their own specific video analysis needs—for example, better understanding traffic patterns or overseeing manufacturing processes.