Television ratings service Nielsen recently released a report that showed streaming platforms pulled in a bigger share of viewers’ time then broadcast networks did. In fact, Netflix and YouTube alone now make up about 12 percent of the time Americans spend in front of their TVs.
Optimization gained from transitioning to the cloud isn’t just about saving money, it also embraces improving reliability, enhancing agility and responsiveness, and providing better visibility into overall operations.
The video streaming tide has been accelerated by the Covid-19 pandemic, but will continue to flow as relative normality returns, driving demand to monetize online content not just through subscriptions but also advertising.
Video, audio and metadata monitoring in the IP domain requires different parameter checking than is typically available from the mainstream monitoring tools found in IT. The contents of the data payload is less predictable and packet distribution more tightly defined leading to the need to use specialist media stream centric monitoring tools.
More than 52% of survey participants report at least three-second latency delays or more in their live streaming broadcasts.
Will AI and ML make TV engineers obsolete? Or will it give engineers more time to focus on crucial live production details and new revenue opportunities?
_460_306_70.jpg "Sky has a campus site in Isleworth, UK. By PROTEUS Engineered Facade Technology - originally posted to Flickr as BSkyB Wind Turbine.")
Sky, the European wing of the world’s largest pay TV group Comcast, has enhanced its voice-based content search and navigation amid signs consumers are at last speaking more to their TV systems.
In the previous article in this two-part series we looked at how cloud systems are empowering storytellers to convey their message and communicate with viewers. In this article we investigate further the advantages for production and creative teams.
