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Behind the Streams: Live at Netflix. Part 1

The Netflix TechBlog

By Sergey Fedorov , Chris Pham , Flavio Ribeiro , Chris Newton , and Wei Wei Many great ideas at Netflix begin with a question, and three years ago, we asked one of our boldest yet: if we were to entertain the world through Live — a format almost as old as television itself — how would we do it?

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Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

At Netflix, we seek to entertain the world by ensuring our members find the shows and movies that will thrill them. To learn more, follow the Netflix Research Site , and if you are also interested in entertaining the world, have a look at our openroles !

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Foundation Model for Personalized Recommendation

The Netflix TechBlog

Unique Challenges for Recommendation FM In addition to the infrastructure challenges posed by training bigger models with substantial amounts of user interaction data that are common when trying to build foundation models, there are several unique hurdles specific to recommendations to make them viable.

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Fireside Chat with my Persona at Soopra 2.0 Launch

Adrian Cockcroft

New forms of interaction will take a long time to develop, and the improvements in infrastructure are dwarfed by the improvements in model efficiency. Persona answer: As I see it, the next major leap in AI will likely be driven by a combination of better models, new forms of human-AI interaction, and infrastructure innovation.

AWS
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Helping VFX studios pave a path to the cloud

The Netflix TechBlog

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” This ultimately results in more compelling entertainment for Netflix members.

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Remote Workstations for the Discerning Artists

The Netflix TechBlog

Artists like to work at places where they can create groundbreaking entertainment instead of worrying about getting access to the software or source files they need. To meet this need, the Studio Infrastructure team has created Netflix Workstations. To meet that demand, we need to attract the world’s best artistic talent.

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End-to-end observability provides deep insights into user behavior for British Columbia Lottery Corporation

Dynatrace

People now depend on digital experiences for access to goods, services, and entertainment. As such, the corporation’s mission is to deliver exceptional—and healthy—gambling entertainment experiences. Consequently, organizations need a way to capture and understand user behavior so they can make their services more reliable.