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Our First Netflix Data Engineering Summit

The Netflix TechBlog

Media Data for ML Studio Creative Production In the last 2 decades, Netflix has revolutionized the way video content is consumed, however, there is significant work to be done in revolutionizing how movies and tv shows are made. In this video, Sr.

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All of Netflix’s HDR video streaming is now dynamically optimized

The Netflix TechBlog

by Aditya Mavlankar , Zhi Li , Lukáš Krasula and Christos Bampis High dynamic range ( HDR ) video brings a wider range of luminance and a wider gamut of colors, paving the way for a stunning viewing experience. HDR was launched at Netflix in 2016 and the number of titles available in HDR has been growing ever since.

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Native Frame Rate Playback

The Netflix TechBlog

by Akshay Garg , Roger Quero Introduction Maximizing immersion for our members is an important goal for the Netflix product and engineering teams to keep our members entertained and fully engaged in our content. Problem Netflix’s content catalog is composed of video captured and encoded in one of various frame rates ranging from 23.97

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New Series: Creating Media with Machine Learning

The Netflix TechBlog

Each title is promoted with a custom set of artworks and video assets in support of helping each title find their audience of fans. Here are just a few examples: We maintain a growing suite of video understanding models that categorize characters, storylines, emotions, and cinematography.

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Designing Netflix

High Scalability

For instance, he created a platform for experimenting with different hypotheses on Amazon product pages using reinforcement learning techniques. Design a video streaming platform similar to Netflix where content creators can upload their video content and viewers are able to play video on different devices.

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Why business digital transformation is still a key C-level priority today

Dynatrace

According to IDC, AI technology will be inserted into the processes and products of at least 90% of new enterprise apps by 2025. And according to S&P Global’s 2023 Global Trends, 69% of surveyed organizations have at least one AI project in production , while 28% are achieving enterprise scale.

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A Complete Guide to Cypress Visual Regression Testing

DZone

Cypress is an emerging test automation framework that enables teams to ship high-quality products faster. Sometimes referred to as automated UI testing or visual regression testing, VRT checks software from a purely visual standpoint (taking a screenshot and comparing it against another approved screenshot).

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