THE JOURNEY TO AUTONOMOUS BROADCAST Ballooning opportunities for content consumption mean that delivery is becoming more than mere humans can deliver
roadcast workflows are about to undergo a seismic shift. A model that was built on bespoke equipment and
These developments are finally converging on the broadcast space. It began with fixed broadcast infrastructures migrating to IP, then to the cloud. The pandemic further accelerated adoption of software-defined solutions running on virtual platforms. This opens the door to investment in machine learning and AI in broadcast operations. At the same time, the burgeoning 5G network will accelerate consumption of video at the edge. This will multiply pressure on media and entertainment providers, who are already faced with the imperative to do more with less. The number of touchpoints for content is exploding and, with the rise of the 3D internet (call it Web 3.0 or the Metaverse if you like), exponentially more complex. Today’s consumers expect
AUTOMATION OR EXTINCTION Media companies and their ecosystem of service and technology providers will have to be integrated in order to cope. Dozens of vendors must unite to This is already happening – faster than you probably realise. The Zixi Intelligent Data Platform (IDP) uses advanced analytics, ML and AI, to intelligently alert users to problems before they happen. This type of automation is enabling broadcasters to move from prescriptive insights around QoS and QoE incidents, to predictive identification and proactive action to fix issues. In a year or two, such automated processes will become the mainstream way to manage even legacy businesses, as well as to launch new services and business models. End-to-end automated systems will streamline workflows and allow broadcasters to become super- efficient with their resources – and that includes personnel. provide an automated end-to-end solution. The engineering talent in video, network and broadcast is expensive and scarce. You cannot linearly scale the number of bodies required to meet the soaring complexities of producing and delivering content. Since workflows are going to interact at the API level, setting thresholds and arming triggers, systems will need to be visible to operators in a way that they can intuitively understand and manage.
manually intensive processes is unifying around a suite of common technologies which are highly interoperable, intelligent and automated. The end state is going to be a fully autonomous broadcast system that will merely be overseen by people, whose priority is to help ensure that the business is running. It’s a transformation that other verticals have already been through. Nuclear power plants haven’t been run by humans in decades; our whole aviation system works with pilots in conjunction with automated air traffic control; autonomous vehicles may soon revolutionise everyday transport.
higher than broadcast- quality content, delivered instantly to their screen. Tomorrow, audiences will expect an overlay of AR and full VR. The brand experience needs to extend across a range of interactive touchpoints, from a small mobile in a child’s hand on a car ride, to audiences watching a giant screen, to reaching people with the same content wearing different AR/VR gear.
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