In today’s fast-paced digital landscape, media companies face the dual challenge of delivering content efficiently while addressing environmental concerns. As the media industry evolves, it is crucial to adopt innovative approaches that transform existing media workflows, security, scalability, and carbon efficiency. To further future-proof media infrastructure and experience these benefits, the industry should focus on developing interoperable Software Media Functions (SMF) as software-based solutions, adopt a dynamic media factory layered model, and implement a common control framework to better anticipate the changing media functions landscape. When changing into a world of software-defined applications, a good foundation is essential. It should be agnostic of clouds (private or public) since interoperability needs to be guaranteed in case a business decision requires a migration to a new environment. Some content providers are already taking advantage of machine learning to reduce costs and increase efficiency. Traditionally this is not the domain of the broadcast or media specialists since this was handled by the vendors using embedded OS and Kubernetes in their hardware.
Shedding light on the Cloud in broadcast production
Cloud technology brings high expectations for our industry especially in terms of scalability, reusability and remote access. But deploying a full public cloud solution still comes with its set of challenges.
Through real-world use cases, we’ll show how broadcasters and content creators can make their way around and across the current barriers of the cloud, by leveraging other emerging technologies or by deploying hybrid models that serve to fulfill their desire for more future-ready production infrastructures.