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Building a Media Understanding Platform for ML Innovations

The Netflix TechBlog

By Guru Tahasildar , Amir Ziai , Jonathan Solórzano-Hamilton , Kelli Griggs , Vi Iyengar Introduction Netflix leverages machine learning to create the best media for our members. We must quickly surface the most stand-out highlights from the titles available on our service in the form of images and videos in the member experience.

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Production Media Management: Transforming Media Workflows by leveraging the Cloud

The Netflix TechBlog

In this post, we will share a behind-the-scenes look at how Netflix delivers technology and infrastructure to help production crews create and exchange media during production and post production stages. Lights, Camera, Media! Now that we understand what media workflows are, let’s take a look at some of the workflows we’ve enabled.

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HDR10+ Now Streaming on Netflix

The Netflix TechBlog

We enabled HDR10+ on Netflix using the AV1 video codec that was standardized by the Alliance for Open Media (AOM) in 2018. AV1 is one of the most efficient codecs available today. Title must be available in HDR10+format 3. This consistency allows our members to stay immersed in the content, and better preserves creativeintent.

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Transform data into insights with Dynatrace Dashboards and Notebooks

Dynatrace

Kickstart your creation journey using ready-made dashboards and notebooks Creating dashboards and notebooks from scratch can take time, particularly when figuring out available data and how to best use it. This feature lets you explore any available metric and add it to Notebooks or Dashboards.

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The new normal of digital experience delivery – lessons learned from monitoring mission-critical websites during COVID-19

Dynatrace

Over the last two month s, w e’ve monito red key sites and applications across industries that have been receiving surges in traffic , including government, health insurance, retail, banking, and media. Readers who share our privacy concerns, please note, all the data we monitor is publicly available. . Monitoring with ?the

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Reducing The Web’s Carbon Footprint: Optimizing Social Media Embeds

Smashing Magazine

Reducing The Web’s Carbon Footprint: Optimizing Social Media Embeds. Reducing The Web’s Carbon Footprint: Optimizing Social Media Embeds. The Impact Of Social Media Embeds. Redesigning the social media coverage is briefly mentioned as one way to save approximately 1.4MB. Michelle Barker. 2022-02-03T12:00:00+00:00.

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Data ingestion pipeline with Operation Management

The Netflix TechBlog

by Varun Sekhri , Meenakshi Jindal , Burak Bacioglu Introduction At Netflix, to promote and recommend the content to users in the best possible way there are many Media Algorithm teams which work hand in hand with content creators and editors. Teams generally want to run algorithms and create annotations using all those media files.

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