Latest

## Domino Paves the Way for the Future of Enterprise Data Science with Latest Release

Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. We’re introducing...

## Announcing Trial and Domino 3.5: Control Center for Data Science Leaders

Even the most sophisticated data science organizations struggle to keep track of their data science projects. Data science leaders want to know, at...

## Reflections on the Data Science Platform Market

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data...

## The Past/Present/Future + Myths of Data Science

Sivan Aldor-Noiman, VP of Data Science at Wellio (now part of The Kraft Heinz Company), presented “The Past/Present/Future + Myths of Data Science”...

## Achieving Reproducibility with Conda and Domino Environments

Managing “environments” (i.e., the set of packages, configuration, etc.) is a critical capability of any Data Science Platform. Not only does...

## Our Customers Said it Best, as Domino Named a Visionary By Gartner

The team at Domino is proud to be named a visionary in Gartner’s Magic Quadrant for Data Science Platforms. It’s nice to get recognized by third...

## Enabling Data Science Agility with Docker

This post describes how Domino uses Docker to solve a number of interconnected problems for data scientists and researchers, related to environment...

## Data Science Platform: What is it? Why is it Important?

As more companies recognize the need for a [data science platform], more vendors are claiming they have one. Increasingly, we see companies...

## Uber and the Need for a Data Science Platform

For those wondering if data science platforms are really a thing, there’s a great article by Kevin Novak, the head of Uber’s Data Science Platform...