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In the last two articles in this series we looked at why we need to monitor in OTT. Then, through analysing a typical OTT distribution chain, we sought to understand where the technical points of demarcation and challenges arise. In this concluding article, we look at what and where to monitor in a multi-service-provider OTT delivery system.
In this new series, it will be seen that color is a complex subject and all the more so for being multidisciplinary. The difficulty with such a large subject is that it is hard to leave things out when they are so fascinating.
Increasing OTT fragmentation is creating a new and perhaps last opportunity for traditional pay TV operators to seize back some control from major online service providers by re-aggregating online content under common UIs and recommendation engines.
Germany’s 5G Today project has started its field trial for TV over 5G networks with a remit to contribute towards wider standardization of broadcasting over cellular.
In the previous article in this series, “Understanding OTT Systems”, we looked at the fundamental differences between unidirectional broadcast and OTT delivery. We investigated the complexity of OTT delivery and observed an insight into the multi-service provider silo culture. In this article we fully analyze a typical OTT delivery channel to understand why we need monitoring.
In an era of rising programming costs, media companies are looking for ways to reduce production budgets, through both live remote control operations leveraging the Cloud and the public Internet as well as the use of less expensive consumer-level technology.
Once tweaked to perfection and final format specs locked in, production models of Next Gen TV sets will flood stores, confuse viewers and provide broadcasters and sponsors new opportunities to expand their reach and brands.
With consumer adoption of OTT services and viewing of live sporting events on mobile devices at an all-time high, content creators and distributors are working hard to fine-tune their infrastructures and workflows to meet demand. For many, this has meant leveraging the flexibility and scalability of cloud-based computing and artificial intelligence (AI)-powered services, which require less capital cost and facilitate experimentation with new channels and mobile-first services.
