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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

For the past 20 years, thousands of software engineers at Amazon have been working on ML. We know that innovative technologies always take off whenever barriers to entry fall for market participants. In particular small and medium-sized companies with innovative strength can benefit. Machine Leaning at Amazon.

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World’s Top Web Performance Leaders To Watch

Rigor

Rick is a software engineer on the Google Chrome team, “leading an effort to make the web just work for developers.” Sergey is a principal engineer at Meetup and a well-known performance educator who regularly runs monthly hands-on Meet4SPEED events in New York City. Rick Byers. Rick Byers. Sergey Chernyshev.

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The Persistent Imbalance Between Supply and Demand for Software Development Labor

The Agile Manager

Software development is generally counter-cyclical to the broader economy: it does well when the economy is down because software locks in productivity gains desired after layoffs & cutbacks. Software also makes its own opportunities, because it is inherently a business of invention and innovation.

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Tackling the Pipeline Problem in the Architecture Research Community

ACM Sigarch

Not all computer science degree programs offer computer architecture classes to undergrads, and ones that do, may offer it as one of many electives. ML and deep learning innovations are constantly in the news. Her current work focuses on hardware/software co-design for extremely large-scale deep learning training.

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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. but that would slow down our overall pace of innovation. Curious to learn more?