10 YOUR TAKE AI
Does artificial intelligence have the potential to change the content creation process for the greater good? THE AI REVOLUTION WILL BE TELEVISED
strong, compelling stories. Stories are what audiences engage with and care about most, and this is where the true value of the creative process lies. For broadcasters, the most effective role for AI technologies is to enable them to better understand the content in their live streams. Tasks that used to take broadcast facilities hours can now be handled in seconds, delivering real value in mission- critical, fast-paced production environments such as newsrooms, live sports production and breaking news scenarios. Some of the areas where we see AI being deployed include metadata generation, editing, contribution and distribution, compression, personalisation, content security, asset management, customer care and UI/UX. The possibilities are endless. AI-based tools can automatically generate enriched metadata, tag content and create new workflows where this metadata is correctly handled by MAM (Media Asset Management) solutions. Unstructured metadata, combined with highly accurate machine learning-based AI for voice and object recognition, enables video clips to be indexed, located and then shared with single-frame precision in real time. News stories can be edited and delivered faster with real-time automated
content production – content can be tailored according to user profiles, helping production staff to turn stories around rapidly and get them to air in minutes. This kind of automated content production might be good for news environments, but film, high-end drama and commercial creation still rely on translating a human vision on to the screen. Although the Lexus advert was scripted by IBM’s Watson, translating that to the screen still required the creative vision of a director. Post-production, driven by the human eye, was still needed to get the right look and feel. Creativity will always be highly subjective, and this is where AI-led automation of tasks delivers true value – it frees up creative staff to do what a machine cannot, using their imagination to push the creative boundaries. MEDIA 4.0 AI does have the potential to revolutionise the way content owners and creators maximise their assets, allowing them to engage with consumers in a personalised way. This is what we call Media 4.0. The term Media 4.0 was coined by TVU Networks to encompass workflows and solutions that meet the need to deliver highly personalised content to consumers. Based around the concept of the ‘smart studio’, Media 4.0 enables the customisation of video to meet the specific requirements and tastes of individual consumers. Content is created and distributed through an automated process. In a Media 4.0 environment, AI engines recognise video content and automate its creation and distribution to mobile phones, the internet, television and social media channels. The process of formatting content for different platforms and editing content to meet regulatory requirements and
PAUL SHEN, CEO, TVU NETWORKS AI and machine learning will free up time for creatives to focus on delivering great content and stories
The global artificial intelligence market is set to be valued at $1.2 trillion by 2020 according to a report by Forrester Research, and investments in the technology are rising rapidly as we see the first real-world deployments. When IBM’s Watson dropped its (now famous) AI-created Lexus advert, it further highlighted the question of AI’s role in creative industries such as content creation production. Does this quirky advert really predict the end of human interaction in the creative process? FINDING A BALANCE BETWEEN AI AND CREATIVITY At TVU Networks, we are strong advocates of AI. However, we are equally strong in our advocacy for human talent and creativity. Far from removing the need for human interaction within the creative chain, we see AI strengthening the role of creative staff. AI has the potential to take over the mundane, non-creative tasks and free up creatives to focus on delivering great content that tells
THE CLOUD-BASED VIDEO AND AI-POWERED VOICE AND OBJECT RECOGNITION TECHNOLOGIES NEEDED TO TRANSITION TO THE SMART STUDIO MODEL ARE ALREADY AVAILABLE
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