Cloud/Big Data

Netflix rapidly deploys services across multiple AWS accounts and regions over 4,000 times a day. We’ve learned myriad lessons in regards to reliability and efficiency; what’s more, we’ve built sophisticated tooling which has facilitated our expanding global footprint. In this session, you’ll learn about how Netflix confidently delivers services on a global scale and how you can do the same with a number of best practices combined with freely available open source software. Four things attendees will learn: * Best practices for multi-region software delivery, including taking advantage of metrics for global deployment windows * Coordinating deployment pipelines * Fault [...]

Machine learning techniques are based on the assumption that the future will resemble the past, with some allowance for uncertainty and yet-unobserved events. That assumption has held up well in machine learning applications like advertising, weather, and self driving cars. But what about applications that predict a person’s future actions and use that prediction to make a big decision about that person's life? What if we train our machine learning systems on data containing human biases we do not want to reinforce in the future? This talk first draws on the use of machine learning classification techniques in criminal sentencing [...]