Subject archive for "data-science," page 46

It's common knowledge these days that culture is critical to a company's success, and there's no shortage of advice about defining and nurturing the culture at one's startup. This post is an articulation of a key characteristic of the culture we want to engender at Domino: being direct with criticism while striving to make that criticism genuinely constructive.

Introduction

Starting today, anyone running R code on Domino can use Revolution R Open, to dramatically improve their performance without any code changes.

We recently caught up with Eduardo Arino de la Rubia - a principal developer for the Ingram Content Group, holding two roles in the company. In the first of these two roles, Eduardo works with Lightning Source, a print-on-demand provider. Manufacturing books on demand has all sorts of interesting data science applications, from attempting to predict downtime and using machine vision and image processing for quality control, all the way through natural language processing to understanding the content that passes through their facilities. Eduardo also works with Ingram’s Chief Venture Capital officer to fund interesting startups. He is a big proponent of using data science in the due diligence process for early to mid-stage venture investing.

We asked our users to tell us stories about how they're using Domino. This is what we heard from Laura Lorenz, a Data Scientist at StockUp.

A quick engineering-related post: we built a cache plugin for Play that uses capped collections in Mongo. It's available on Github if you'd like to use it.