First, let's clarify the difference between live and real-time video delivery.
Live video is streamed to viewers as an event happens, as opposed to on-demand video, which is prerecorded and streamed to viewers whenever they choose.
HLS and DASH, the two leading streaming protocols in use on the web, can operate in a "live" mode, but they are not real-time protocols. Both require a certain amount of video data to be buffered in the player to guard against network rebuffering and other playback glitches. These buffers create latency. In the case of Apple's HLS, their own guidelines mandate at least three segments of six seconds each, effectively putting each viewer about 20 seconds behind "real" time.
Home to content brands like Thrillist and NowThis, Group Nine Media has established itself as one of the world’s most successful video publishers. Each month, the digital media holding company receives about five billion views across its portfolio of premium brands, which also includes The Dodo and Seeker. At JW Insights, Variety co-Editor-in-Chief Andrew Wallenstein joined Group Nine Media CEO Ben Lerer and Chief Insights Officer Ashish Patel for a discussion of the role data has played in the firm’s growth. Here are three things we learned.
You have a teenage daughter. For the first time, she’s dating. Guy #1 tells you he’s taking her to see a 3D screening of The Incredibles 2, grab cherry slushies and hot dogs at 7-Eleven, and get gas at Chevron. Guy #2 simply tells you it’s going to be dinner and a movie. In both cases, you gave the go-ahead for the guys to take her out. But which one do you trust more to date your daughter? According to expert panelists at JW Insights, under GDPR, the clear winner in this scenario would be Guy #1.
Rooted in the idea that machines can be as smart as humans, machine learning applies the concept of artificial intelligence to learn from data and autonomously improve performance based on that information. At JW Insights 2018, industry experts, including JW Player’s SVP of Technology, John Luther, shared their thoughts on what machine learning can—and can’t—do in our rapidly evolving digital age. Here are three takeaways.