How does the move to OTT delivery impact the traditional platforms? Are there too many streaming services? This session looks at the new platforms, the consumer experience, the role of aggregation and the way that operators have been involved in de-aggregation and then re-aggregation of channel packages both in competition and in cooperation.
How many subscription services are too many for a household? There’s some thinking that 3 may be the typical maximum when people tend to switch to a ‘one in, one out’ policy on subscription packages. Colin Dixon says the average is currently 2 in the UK and Germany. The panel asks whether we should have as many and compares the situation with audio where ‘super aggregation’ rules. Services like Apple Music and Spotify rely on aggregating ‘all’ music and consumers don’t subscribe separately to listen to Sony artists one on service and EMI on another, so what is it that drives video to be different and will it stay that way?
The topic then switches to smart TVs discussing the feeling that five to eight years ago they had a go at app stores and ended up disappointing. Not only was it often clunky at the time, but support has now gone on the whole from the manufacturers. Is the current wave of smart TVs any different? From BT’s perspective, explains Colin Phillips, it’s very costly to keep many different versions of app up to date and tested so a uniform platform across multiple TVs would be a lot better.
The talk concludes looking at the future for Disney+, Netflix and other providers ahead of discussing predictions from industry analysts.
Honing the use of AI and Machine Learning continues apace. Streaming services are particularly ripe areas for AI, but the winners will be those that have managed to differentiate themselves and innovate in their use of it.
Artificial Intelligence (AI) and Machine Learning (ML) are related technologies which deal with replicating ‘human’ ways of recognising patterns and seeking patterns in large data sets to help deal with similar data in the future. It does this without using traditional methods like using a ‘database’. For the consumer, it doesn’t actually matter whether they’re benefitting from AI or ML, they’re simply looking for better recommendations, wanting better search and accurate subtitles (captions) on all their videos. If these happened because of humans behind the scenes, it would all be the same. But for the streaming provider, everything has a cost, and there just isn’t the ability to afford people to do these tasks plus, in some cases, humans simply couldn’t do the job. This is why AI is here to stay.
Date: Thursday 8th August, 16:00 BST / 11am EDT
In this webinar from IBC365, Media Distillery, Liberty Global and Grey Media come together to discuss the benefits of extracting images, metadata and other context from video, analysis of videos for contextual advertising, content-based search & recommendations and ways to maintain younger viewers.
AI will be here to stay touching the whole breadth of our lives, not just in broadcast. So it’s worth learning how it can be best used to produce television, for streaming and in your business.
Is it possible to monitor OTT services to the same standard as traditional broadcast services? How can they be visualised, what are the challenges and what makes monitoring streaming services different?
As with traditional broadcast, some broadcasters outsource the distribution of streaming services to third parties. Whilst this can work well in broadcast, there any channel would be missing out on a huge opportunity if they didn’t also monitor some analytics of the viewer using their streaming service. So, to some extent, a broadcaster always wants to look at the whole chain. Even when the distribution is not outsourced and the OTT system has been developed and is run by the broadcaster, at some point a third party will have to be involved and this is typically the CDN and/or Edge network. A broadcaster would do well to monitor the video provided at all points through the chain including right up to the edge.
The reason for monitoring is to keep viewers happy and, by doing so, reduce churn. When you have analytics from a player telling you something isn’t right, it’s only natural to want too find out what went wrong and to know that, you will need monitoring in your distribution chain. When you have that monitoring, you can be much more pro-active in resolving issues and improve your service overall.
Jeff Herzog from Verizon Digital Media Services explains ways to achieve this and the benefits it can bring. After a primer on HLS streaming, he explains ways to monitor the video itself and also how to monitor everything but the video as a light-touch monitoring solution.
Jeff explains that because HLS is based on playlists and files being available, you can learn a lot about your service just by monitoring these small text files, parsing them and checking that all the files it mentions are available with minimal wait times. By doing this and other tricks, you can successfully gauge how well your service is working without the difficulty of dealing with large volumes of video data. The talk finishes with some examples of what this monitoring can look like in action.
Amazon Web Services is back with another free conference, this time looking at video tech innovation, content distribution and more! From business to tech, there are free sessions for whatever angle you look at broadcasting from.