Perifery – Bringing AI innovation to the Edge

Perifery – Bringing AI innovation to the Edge

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Tag: edge computing

Perifery – Bringing AI innovation to the Edge

The media industry is experiencing the transformative impact of AI and ML technologies. These innovations have revolutionised various aspects of content creation, distribution, marketing, and monetization.

AI on entertainment platforms has led to a host of benefits, including data-driven enhanced efficiency, better personalization, and more informed program and content decision-making capabilities. AI in media production and post production has enhanced light ray rendering capabilities and can even edit the production using prescribed user preferences. In sports, AI editing can go as far as making whole game highlight reels. In archive semantic AI can discover scenes with car chases or even romantic scenes. There is no longer a debate about whether AI will happen; it is here, and it is here to stay.

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E-Learning Company Uses Zenlayer Edge Data Center Services to Rapidly Grow Their Network

Talk-Cloud, an e-Learning platform used by universities and other online education providers, was experiencing expo-nential growth and needed rapid deployment of new network nodes to maintain customer satisfaction. The heart of their platform is two-way livestreaming, an application extremely sensitive to latency issues and network instability. By using Zenlayer Bare Metal Cloud and Edge Data Center Services for their network needs, Talk-Cloud was able to increase coverage by 40% while reducing latency by 5% and costs by 20%.

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Edge Computing for media. Making sense of cloud services

Edge Computing means that media and data are physically located closer to the users who connect to it and use it. Content can be worked on quickly, securely and without latency. Workflows using local machinery such as quality control, edits, transcoders, etc. are still local, but connect seamlessly into workflows and access operated via the cloud, for example multi-point sharing, collaboration, distribution, or delivery workflows. Edge thus means "working simultaneously on the edge of the cloud + in the cloud".

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