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New Series: Creating Media with Machine Learning

By Vi Iyengar, Keila Fong, Hossein Taghavi, Andy Yao, Kelli Griggs, Boris Chen, Cristina Segalin, Apurva Kansara, Grace Tang, Billur Engin, Amir Ziai, James Ray, Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media — from TV shows to …

Machine Learning for Fraud Detection in Streaming Services

By Soheil Esmaeilzadeh, Negin Salajegheh, Amir Ziai, Jeff Boote Introduction Streaming services serve content to millions of users all over the world. These services allow users to stream or download content across a broad category of devices including mobile phones, laptops, and televisions. However, some restrictions are in place, such as the number of active devices, …

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Amazon SageMaker Studio Lab continues to democratize ML with more scale and functionality

To make machine learning (ML) more accessible, Amazon launched Amazon SageMaker Studio Lab at AWS re:Invent 2021. Today, tens of thousands of customers use it every day to learn and experiment with ML for free. We made it simple to get started with just an email address, without the need for installs, setups, credit cards, …

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Redacting PII data in Dialogflow CX with Google Cloud Data Loss Prevention (DLP)

Contact centers today handle all types of sensitive information including Personally Identifiable Information (PII), Protected Health Information (PHI), Payment Card Industry (PCI) data, and other confidential information (CI) as part of their day-to-day operations. This information can make its way into call recordings, call logs, agent notes, and application logs. It may also be used …