FEED Issue 18

65 ADVERTISEMENT FEATURE Dalet

example,” notes Cospen. “No broadcaster wants too much time spent transcribing information, converting it into subtitles and aligning them properly on-screen. If the manual creation of captions for one minute of video takes about six minutes, we estimate Dalet Media Cortex can achieve this in just one minute – six times faster.” In developing its AI solution, Dalet proceeded with an awareness that the AI market is “evolving rapidly” at the moment and that customers would inevitably be seeking a learning curve that was not too demanding of their time and energy. “We really want our customers to enjoy the experience of AI, and to be able to start making the most of it in a short period of time. And that’s what we believe we have achieved with Dalet Media Cortex.” DESIGNS FOR AI DEVELOPMENT Cospen believes that there are two primary models through which broadcasters will

In addition to the continued promotion of its flagship solution, Dalet is presently working on a white paper to guide broadcasters through the early stages of planning an AI project. “We definitely think there is a role for us in broadening the general understanding of AI as well as the various factors that need to be accommodated during the initial planning phases,” says Cospen. There is no doubt that the speed and extent of AI adoption will continue to vary significantly between broadcasters for the foreseeable future. But the overall direction of travel is clear and even the more reticent of end-users are now thinking about AI. “It’s already in the process of becoming a key requirement,” believes Cospen. “We speak to more and more broadcasters who want to introduce at least some degree of AI into their production workflows. As people become more comfortable with increased automation, and familiar with its benefits, then we will surely see deployments that are more extensive and which involve the automation of more mundane

seek to utilise AI during the next few years. The first is what he terms “the classic type of project in which people would like to utilise their archives more effectively and index material that is poorly documented. For instance, in news there will be a desire to use AI to extract and tag faces, and also produce transcriptions of content.” The second model will involve the creation by vendors and specialists of “customised and broadcaster-specific deployments.” As a provider of AI solutions Dalet is currently evaluating the extent to which they will work on these deployments, but with Dalet Media Cortex it is evident that they already have a framework that can provide a basis for such projects.

ULTIMATELY, IT WON’T BE TOO LONG BEFOREWE CAN’T LIVEWITHOUT AI

tasks. Ultimately, it won’t be too long before we can’t live without AI.”

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