This narrative begins in 2006. One of the more forward-thinking European broadcasters began the search for a system to take their single national feed, that was funded through traditional ad break advertising, and produce just over 30 variants of this channel. Every channel (regional feed) would now include some regional advertising content, replacing the national advertising breaks at specific times of the day. Starfish Technologies was awarded the contract to design and supply this system. It was implemented using SDI based technology located at each of the regional distribution hubs, the majority of which were unmanned. This system worked well and generated a significant additional revenue stream, so the broadcaster requested an ‘upgrade’ to this system that would also enable local news bulletins and late changing schedules to be inserted into every regional feed. These requirements were best implemented by moving to a centralised architecture and building a complete regional channel system located at its main transmission centre. The first centralised Starfish Technologies system went live in 2009 and again proved reliable, commercially rewarding and with the significant benefit of providing viewers with locally relevant news content.
This report delves into one of the major long-term drivers of change in the media industry, identified by IABM in its Special Report published in September 2020: viewing technology only as an enabler. The research puts the spotlight on this specific structural driver of industry change, analyzing the ultimate business, technical and creative values that technology is enabling as well as one of the rising operating models behind them: the cloud model. Our main objective is decoding these topics to shed more light on the economics underpinning media factories.
This is a collection of presentations that the IABM Insight & Analysis team delivered at at BaM LIVE!™ June 2021.
The presentation cover the topics listed below.
- Americas Regional Trends
- Digital Transformation in Media: The Stats
- Decentralized Production Models: Effects on Media Tech Investment
- Media Convergence: Current & Futuristic Perspectives
Earlier this year, as demand for remote post-production grew, we focused on supporting a series of product updates to bring maximum performance to the platform. Extending to these, we’re excited to share our latest product update built for your specific needs.
Andrew Holland (Editorial Data Lead, Meta) discusses the current landscape of Matadata Enrichment.
The acceleration in media technology transitions such as the move to remote production models and the migration to cloud operating platforms is putting functions such as infrastructure and storage in the spotlight. IABM research shows for example that the accelerated move to remote production is prompting an increasing focus on connectivity resources. Moreover, the need for content to be accessible from multiple locations is driving investment in cloud storage, as we shall see later in this Briefing. While these digital transitions have been accelerated, other physical investments have been dramatically reduced.
This briefing analyzes high-level investment trends in content infrastructure and storage. The acceleration in media technology transitions such as the move to remote production models and the migration to cloud operating platforms is putting functions such as infrastructure and storage in the spotlight.
We are joined by Anders Svensson, CTO at Agama Technologies to discuss what’s new including the 7.0 release Video Observability and Analytics.
We also discuss the importance of valuable data to companies and what information can be gathered, what can be done with it and how companies should react.
Anders also talks through some recent customer use cases.
In this interview, Ryan Steelberg (President, Veritone) discusses the launch of MARVEL.ai, a complete end-to-end voice-as-a-service solution to create and monetize hyper-realistic synthetic voice content at commercial scale. Ryan explains how Veritone got into this area of synthetic voice and how synthetic media and synthetic voice changing the media landscape.
Streaming high-resolution video typically comes with an inevitable trade-off between available bandwidth and quality of experience for the end user. Delivering uncompromising video quality typically requires excessively high bitrates, which can result in slow starts, video buffering and high content delivery network (CDN) and storage costs. As the percentage of IP traffic attributed to video increases (estimated to already surpass 82%), these problems are only exacerbated, driving greater urgency for new innovations to address these challenges.
Traditional solutions that attempt to minimize bandwidth without compromising quality are centered around the development of more intelligent video encoders; either by replacing rate control, quantization and prediction strategies within them, or the entirety of a standard video coding pipeline. The latter, however, is a particularly risky proposition for video encoding services, since it requires the creation of bespoke transport mechanisms and decoders across multiple client device types. Likewise, improvements generated by a standards-based codec remain severely constrained by its inherent compliance needs.