— In the News —
A new McKinsey survey finds that a lot of companies are launching efforts to monetize their data but not many are successful. This article breaks down the survey and shows how it takes the right combination of strategy, culture, and organization to succeed at data monetization.
51 business leaders were asked how AI will affect their specific industry in 2018. If you're interested in where things are going and where the opportunities are, these highlights that Gil Press put together are definitely worthwhile.
— Tools and Techniques —
As debate rumbles on about how poor statistics are to blame for poor reproducibility, Nature asked influential statisticians to recommend one change to improve science. The common theme? The problem is not our maths, but ourselves.
C++ is typically used to build software systems and applications and it doesn't lend itself very well to exploratory workflows. But what if you could write and run C++ code inside of a Jupyter Notebook? This post from the Jupyter Project explores how that might be useful and how the capability is a lot farther along than you might think.
Netflix relies on a variety of ranking algorithms to create personalized homepages for over 100 million members. This post on the Netflix Tech Blog describes a technique called "interleaving," which helps them accelerate algorithm innovation.
Emily Robinson, a data analyst at Etsy, needed to speed up an R script so she put out a call for help on Twitter. In this post, Emily walks through the tips she got back, which ultimately led to a massive performance boost.
— Datasets —
Mozilla just released a dataset of voices that anyone can use to train speech-enabled applications. The initial collection contains ~400,000 recordings from 20,000 people around the world. Along with the data, Mozilla is releasing a speech recognition model, which has an accuracy that's close to what humans can perceive when listening to the same recordings.
— Data Viz —
As a field, data visualization has changed dramatically over the past five years. It's not just a small group of practitioners anymore and the tools have become much more capable. In this announcement of the second edition of D3 in Action, Elijah Meeks explores how the field has evolved, current issues, and how D3.js fits into it all.
— In Case You Missed It —
Be sure to catch the most popular links from last week's issue...
— About —
Data Elixir is curated and maintained by @lonriesberg. If some awesome person forwarded this issue to you, subscribe for free at dataelixir.com and get it delivered every week.