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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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Gatsby Headaches: Working With Media (Part 2)

Smashing Magazine

Gatsby Headaches: Working With Media (Part 2) Gatsby Headaches: Working With Media (Part 2) Juan Diego Rodríguez 2023-10-16T13:00:00+00:00 2023-10-16T16:23:46+00:00 Gatsby is a true Jamstack framework. That includes media files, like images, video, and audio. Which plugins should be used for certain types of media?

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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. We refer the reader to our previous blog article for details. in a video file.

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AVA Discovery View: Surfacing Authentic Moments

The Netflix TechBlog

To improve it, we decided to invest in creating a Media Understanding Platform , which enables us to extract meaningful insights from media that we can then surface in our creative tools. Intersection Queries across Multiple Algorithms Several media understanding algorithms return clip or short-duration video segment suggestions.

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Scalable Annotation Service?—?Marken

The Netflix TechBlog

All data should be also available for offline analytics in Hive/Iceberg. Our team, Asset Management Platform, owns a different service that has a json based DSL to describe the schema of a media asset. Our architecture makes it possible to easily onboard and ingest data from Media algorithms. Annotations can be versioned.

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Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

Today, I am very happy to announce that QuickSight is now generally available in the N. Put simply, data is not always readily available and accessible to organizational end users. Data is automatically replicated across multiple Availability Zones for redundancy and also backed up to S3 for durability.

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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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