Points saillants
- VMAF v1: Good Is Not Good Enough
- By Christos G. Bampis, Zhi Li, Kyle Swanson, Nil Fons Miret and Pavan MadhusudanaraoWill this encode look good to Netflix members? Does switching to a new codec improve quality at the same bitrate and by how much? What...
- Thinking Fast & Slow for a Personalized Notification System
- by Matthew Wood, Ishan Gupta, Kevin Mercurio, Devon Bryant, and Claire DormanIn his seminal book “Thinking, Fast and Slow,” Daniel Kahneman describes two systems that drive human cognition: System 1, which operates auto...
- A Human-Augmenting Agentic Workflow for Causal Inference
- By Winston Chou, Adrien Alexandre, Lars Olds, Yi Zhang, Garrett Hagemann, and Nathan KallusIntroductionImagine asking a data agent to analyze the causal relationship between two variables, such as the effect of watching...
- Data Projects: Managing Data Assets at Netflix Scale
- By Amer Hesson, Marcelo Mayworm, James Mulcahy, and Brittany TruongThe Problem: Managing Assets at Netflix ScaleNetflix’s Data Platform is vast. We have millions of tables in our data warehouse and tens of thousands of...
- The Evolution of Cassandra Data Movement at Netflix
- By Guil Pires, Jennifer Prince, Jose Camacho, Ken Kurzweil, Phanindra ChunduruBackgroundIn a previous post, we introduced Data Bridge, a unified management plane for batch Data Movement at Netflix. Historically, several...
Sources
- VMAF v1: Good Is Not Good Enough
- Thinking Fast & Slow for a Personalized Notification System
- A Human-Augmenting Agentic Workflow for Causal Inference
- Data Projects: Managing Data Assets at Netflix Scale
- The Evolution of Cassandra Data Movement at Netflix
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