Broadcasters and media companies are implementing technologies powered by Artificial Intelligence (AI) and Machine Learning (ML) across the value chain. We see countless use cases for AI based automation or support and new opportunities keep emerging. So far, the focus has been on the usefulness of AI systems in terms of accuracy and performance in relation to a specific task. This is now changing with a wider uptake of AI, new capabilities for ML and public debates on this technology.
New Regions = New Revenue for Sports
Some sports are undoubtedly global leaders, with an audience to match. Then there are others, which enjoy immense popularity in certain markets but are less well known elsewhere. Ice Hockey, for instance, is a national obsession in Canada but is still relatively niche in the UK. Rugby has an estimated global following of 475 million people, but its popularity tends to be concentrated in specific regions. When it comes to building up a dedicated audience in new markets, there are several challenges that need to be overcome.
The OTT market is changing to put local content providers in the driving seat
Previously, specialist, regional and niche content providers had very few options when it came to monetizing their content. Try and deliver it themselves, and the results would often mean spiraling costs and limited functionality for their audience. Buddy up with a big player who’ll do the heavy lifting, but realize there is a limit to the rewards they would reap.
Loosening the Ad Tech Bottleneck
The two basic premises of broadcasting haven’t changed for the last 100 years or so. One, give viewers compelling programming and they’ll watch. Two, effective monetisation is critical for supporting all that programming.
Sustainable Broadcast Transmission
Despite the continuing growth in audiences for streaming content, the established broadcasters remain popular. Indeed, market predictions are that, while streaming services will gain viewers and revenue, traditional linear television will remain stable; Statista even suggests a slight rise in daily viewing hours.
Social Experiences – Covid and Beyond
Most of us are social creatures and even when apart, we strive to be together. The bond that we create from shared activity, such as watching movies together, runs deeper than one might think. Research published in a scientific journal which involved chimpanzees watching a video in pairs, showed how they became more sociable with each other after the viewing session ended. This indicates that the bond we form from activities such as watching video content together has deep evolutionary roots.
Eyeing up new revenues with addressable advertising
Visualon – Introducing a new IABM member
Tell us about the company – when it was founded, by whom and with what objective?
VisualOn was founded in 2003 by Dr. Yang Cai and Dr. Bill Lin in Silicon Valley to bring low-cost, high-quality, multimedia experience to more consumer devices through supporting the new video compression standard H.264 in software. It has since become the leading streaming media player solution provider most trusted by the top service providers in the world.
Convergence Forcing a Focus on Data
FAST. AVOD. SVOD. MVPD. vMVPD. OTA. These services represent the options available to content owners or aggregators to deliver entertainment, sports and news content from centralized hubs to individual consumers. Their goal is simple – expose and monetize their content libraries to as many consumers as possible. However, that doesn’t mean the consumer is top of mind when it comes to facilitating their journey to their content of choice.
Optimising Edits with Metadata
Few industries are as fast paced and highly pressurised as the media industry. What was already a competitive field has become even more so, as the demand for content has increased in-line with the explosion of OTT services. To manage this high volume of throughput, content supply chains have become more complex, with multiple teams all contributing towards content preparation.