The Netflix TechBlog

JANUARY 25, 2022

We use qualitative and quantitative consumer research, analytics, experimentation, predictive modeling, and other tools to develop a deep understanding of our members. our first investments in tooling to support A/B tests came way back in 2001. Early experimentation tooling at Netflix, from 2001.

Education 245

Education Innovation Testing Programming 245

All Things Distributed

NOVEMBER 30, 2016

There are many more application areas where we use ML extensively: search, autonomous drones, robotics in fulfillment centers, text processing and speech recognition (such as in Alexa) etc. And this process must be repeated for every object, face, voice, and language feature in an application.

AWS 153

AWS Lambda Artificial Intelligence Mobile 153

Highly Scalable

MARCH 10, 2015

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way.

Retail 152

Retail C++ Analytics Metrics 152

VoltDB

JUNE 21, 2024

AI is really the next generation of data analytics — a fancy new (although not really, more on that in a second) way to crunch data, ideally in true real-time fashion. The fact is: AI and ML data have incredible business impact potential, but only with the support of true real-time data processing.

Speed 52

Speed Engineering Media Java 52