Cloud/Big Data

14 01, 2017

Multi-region Delivery Netflix style

By |2017-01-14T09:12:02-05:00January 14th, 2017|

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 [...]

14 01, 2017

Machines Learning Human Biases: How Does It Happen? Can We Unteach Them?

By |2017-01-14T09:11:57-05:00January 14th, 2017|

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 [...]

14 01, 2017

Safety-enabled apps: using Boston crime data to make Pokemon Go a safer space

By |2017-01-14T09:11:49-05:00January 14th, 2017|

Governments are increasingly making their data available freely in machine-readable format, which is great. A drawback, however, is that government data is organized and produced in a way that’s most useful to government operations, and it's not offered in an app-developer or data scientist friendly way. I talk about a project to harvest crime data daily from cities across the US and make it available for web apps and analytics as part of a larger effort to deliver ready-to-use open data sets on the cloud. The importance of adding safety data to apps is underscored by recent news that thieves [...]

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