As the jewel in the content crown, live sports has always been subject to disruption. In the streaming era, with premium rights being seized by streaming companies with deep pockets, public service broadcasters are striking deals with multiple rights holders, targeting niche sports, and addressing fans directly with personalized interactive offerings.
TAG Video Systems has expanded its Media Control System (MCS) version 1.7.0 release with Lens, a visual service health analysis interface that organizes monitored video feeds into hierarchical groups and displays alarm distribution. The new capability provides operators with a centralized view of monitored assets and active alerts across large-scale broadcast operations.
As the streaming giants continue to grow their market share, public broadcasters are facing tough times. The road to survival lies in finding scale without sacrificing identity, but broadcasters are fighting back, forming strategic partnerships, consolidating delivery platforms, and embracing collaborative content creation.
Secure modern production systems depend on robust IP networking practices, but security is not just about keeping intruders out.
Rai (Radiotelevisione Italiana), the national public broadcasting company of Italy, has awarded Imagine Communications a three-year frame contract to support its transition from SDI to IP. The agreement positions Imagine’s Selenio™ Network Processor (SNP) as a core building block in Rai’s evolutionary migration to SMPTE ST 2110 across its master control rooms (MCRs) and production control rooms (PCRs).
1001, a premier OTT service in Iraq, has chosen the Bitmovin Player to improve its video streaming performance and increase reliability and consistency across devices, which in turn will improve user experience. Alongside use of the Bitmovin Player, 1001 will also leverage Bitmovin’s Observability tool to gain deeper visibility and control over playback quality.
Broadcasting famously relies on rigid standards, but cloud computing has developed more around open source and de-facto protocols than it has around ratified standards.
In part 1 of our ‘Essential Guide: Machine Generated Content’, we focused on the technical challenges of real-time rendering and the different approaches for automating their creation. Part 2 outlines how Generative AI can play its part, the implications and risks of using it, and why it might not always be the best approach.
