By Francesco Scartozzi, VP sales & business development, Matrox Video.
While the initial push to the cloud was indeed the headline trend of the past few years, the conversation has fundamentally shifted from migration to optimisation of hybrid workflows. Broadcasters have moved past the initial phase of ‘what does it mean to move to the cloud’ and are now focused on ‘where does it make sense to put this workload’. We’ve settled on the reality that a fully public cloud model is often prohibitively expensive or too complex for high-volume, 24/7 live production. The new focus is on the sophisticated orchestration of resources that live both on-premises and in public or private cloud environments.
The most profound impact in live production – and sport production is no different – is the adoption of a microservices and containerised architecture, directly aligning with the EBU’s Dynamic Media Facility (DMF) vision. The DMF framework rethinks broadcast infrastructure by treating media processing as a network of interchangeable, software-based ‘media functions’. The EBU’s move to define the DMF and the Media eXchange Layer (MXL) was a pivotal step for the industry, as MXL provides a high-performance, open-source data plane for real-time media sharing between containerised functions. Collectively, these initiatives as well as other emerging technologies, propel us towards true vendor-agnostic interoperability in the complex hybrid landscape.
The sports production industry has a strong appetite for fully embracing hyper-targeted monetisation of content. This is a natural result of cloud flexibility and will have the biggest impact on sports broadcasting. The ability to spin up custom workflows to suit specific events as small as a pickleball tournament to as big as the Olympics will lead to an explosion of tailored content streams, personalised advertising, and the proliferation of niche direct-to-consumer offerings.
Looking ahead, I predict that by the end of 2026, we will not only be able to point to real Dynamic Media Facilities but measure just how much money was saved, and more importantly, how much revenue was captured by being able to produce at quality any kinds of sporting events.
Lastly, how can I talk about the future without bringing up AI? The single most transformative development we foresee is the maturation of intelligent infrastructure orchestration aimed at cost efficiency. This goes beyond simple automation. I anticipate that advanced scheduling and resource management systems will evolve to utilise predictive and optimisation algorithms to manage the underlying computing resources.
The primary goal is not creative application but achieving a minimum viable infrastructure (MVI) for every production. For example, a system could be fed a production profile – such as a four-camera pickleball tournament requiring immediate replay and dynamic sports graphics – and automatically provision the exact minimum required backend horsepower (eg, specific cloud compute instances or on-prem server resources) and networking ‘plumbing’. This ensures that resources are allocated precisely when needed, for only as long as needed, before being decommissioned. This transition to highly optimised, usage-based resource allocation delivers a level of operational efficiency that directly impacts the bottom line and is a true differentiator for the CFO.
