08.06.2020 | Ausgabe 06/2020

Towards Autonomous Video Delivery through Artificial Intelligence

Artificial Intelligence / Source: Divitel

Video service providers are dealing with hyper-competition in the media industry. To remain competitive, they must deliver not only excellent service quality, but also be agile and fast in terms of service development. Service failures need to be eliminated quickly and prevented before they happen. There are two challenges here, the first one being that raw data is siloed and needs to be transformed into insights readily available for different stakeholders. The second problem is that video ecosystems are becoming increasingly complex; how to manage that complexity with limited resources? The answers lie in a shift in focus to a holistic, silo meshing, data strategy and the power of automation, machine learning and artificial intelligence. In this paper, we share the steps that Divitel is taking towards the goal of building fully automated video services and explain how we plan to use Artificial Intelligence in the execution.

Video Service Proivider haben es mit einem Hyper-Wettbewerb in der Medienindustrie zu tun. Um wettbewerbsfähig zu bleiben, müssen sie nicht nur hervorragende Servicequalität liefern, sondern auch agil und schnell in der Entwicklung von Dienstleistungen sein. Ausfälle von Diensten müssen schnell beseitigt und verhindert werden, bevor sie auftreten. Hier gibt es zwei Herausforderungen. Die erste besteht darin, dass die Raw-Daten in leicht zugängliche Informationen umgewandelt werden müssen. Das zweite Problem besteht darin, dass Video-Ökosysteme immer komplexer werden. Wie ist diese Komplexität mit begrenzten Ressourcen zu bewältigen? Die Antworten bieten eine Verlagerung des Schwerpunkts auf eine ganzheitliche, vernetzte Datenstrategie, eine leistungsfähige Automatisierung, maschinelles Lernen und künstliche Intelligenz. In diesem Beitrag werden die Schritte vorgestellt, die Divitel auf dem Weg zum Ziel der Entwicklung vollautomatischer Videodienste unternimmt, und wie dabei künstliche Intelligenz eingesetzt werden soll.

A TV Platform is a complex ecosystem built out of many building blocks that are highly dependent on each other. For example, to play a recorded program, several platform components need to work in harmony to serve the customer the requested content and deliver an outstanding viewing quality. These components on their own are responsible for certain types and levels of quality. To offer an excellent holistic video delivery quality, these levels of quality cannot be managed in a siloed state.
Divitel has developed a holistic, data driven approach to model the interdependencies of these different components and their complex relationships along with a systematic framework to identify and solve confounding failures. The resulting delivery infrastructure achieves significant improvements in holistic viewer quality, measured in reduced churn rate, increased customer satisfaction and increased Net Promoter Score (NPS).
More importantly, it better enables to employ machine learning and artificial intelligence and paves the way for autonomous operations of video delivery ecosystems.


 

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