Blog - Dataiku

How Data Analytics Can Improve Healthcare Daily Practices [Part 2]

This is the second part of my interview with Doctor Martin Pusic. In part one of the talk, he explained how data analytics can improve clinicians’ daily practices. Today, he defines how a proper...

Interview, data science, healthcare | December 14, 2015 | Romain Doutriaux

Making Deploying a Predictive Application Into Production Easy [Video]

This is a video of our data scientist Matthieu Scordia demonstrating how to build, deploy, and run a predictive application in under 15 minutes. Challenge accepted!

machine learning, tutorial, video | December 08, 2015 | Thomas Thus

A Kaggle Data Science Competition Made Easy

At Dataiku, every new member of the team, either marketer or superstar data scientist, has to try DSS out with the Titanic Kaggle Competition. It's such a milestone in the company that our first...

data science, machine learning, tutorial | December 08, 2015 | Alivia Smith

Dataiku User Group #8 – Keeping Customers Happy with Machine Learning

We were so happy to welcome our users once again for our 8th Dataiku User Group in Paris on November 24th. We got to talk about all the different aspects of using Machine Learning to gain...

Events, Corporate, machine learning | December 03, 2015 | Alivia Smith

Automated Analytics Workflows and the US Health Care System

America is living in a health care paradox. The country has received more Nobel Prizes in medicine than the rest of the world combined since 1966, yet it was also ranked lowest by the...

business, health care, organization | December 02, 2015 | Romain Doutriaux

How Data Analytics Can Improve Healthcare Daily Practices [Part 1]

Hey everyone. I had to the great opportunity to talk with Doctor Martin Pusic, who’s responsible for the “Healthcare by the numbers: Populations, Systems, and Clinically Integrated Data”. He’s...

Interview, healthcare, business | November 24, 2015 | Romain Doutriaux

Data Science for Biotech #2: Sequencing DNA with RNA-Seq

This is a part 2 of a series of blog posts about using Dataiku Data Science Studio in biotech. In this article we'll show you how to sequence DNa with RNA-Seq.

data science, tutorial, machine learning | November 23, 2015 | Eric Kramer

Interview With Helena Edelson: Spark and Stream Processing

In the big data engineering world, Spark and stream processing are the words on everybody's lips these days. Here are a few words of wisdom by somebody why actually works with Spark everyday, the...

Interview, Technology, spark | November 22, 2015 | Alivia Smith

The Long Journey Across Technoslavia

My grandmother was born in a country called Yugoslavia. As you may know, Yugoslavia was one country with seven borders, six republics, five nationalities, four languages, three religions, and...

Technology, Opinion, Corporate | November 18, 2015 | Florian Douetteau

Dataiku Data Science Studio and MongoDB

There’s a new sheriff in town and his name is Mongo! MongoDB, that is. And this guy is doing things differently… no tables and no relational structure here. MongoDB is all about dynamic schemas,...

Technology | November 16, 2015 | Brian

Make your first Churn Prevention Model in DSS [Video]

On November 12th, Hugo Le Squeren (Business Engineer at Dataiku) presented our tenth Free Training, "Make your first Churn Prevention Model in DSS".

data science, machine learning, tutorial | November 15, 2015 | Thomas Thus

Recap on Dataiku User Group #7 – fun with plugins and DSS!

We had a great time at our 7th DUG (Dataiku User Group) in Paris on October 28th. The event was hosted in our offices in the center of Paris. We welcomed over 20 select DSS users to work with our...

Events, Users, Product | November 10, 2015 | Alivia Smith

For Your Eyes Only in D3.js

Hey everyone, I'm so excited about the release this week of Spectre (the new Bond movie) that I wanted to write a cool blog post about it!

data science, Data Visualization, machine learning | November 09, 2015 | Matthieu Scordia

Dataiku Teams Up With Epidemium’s Challenge4Cancer

Dataiku is proud to reinforce its involvement in health issues as it teams up with Epidemium’s Challenge4Cancer, a scientific initiative aiming at developing data-driven projects in cancer...

Corporate, Partnership, announcement | October 29, 2015 | Romain Doutriaux

Successful Implementation of Big Data Products: a Question of Sales

Jean-Marc Bellot, Business Partner with Customer Centric Selling and mentor for the Dataiku sales team, first published the following post on his personal blog in French. We've translated it and...

business, sales | October 28, 2015 | JeanMarcBellot

An Introduction to Natural Language Processing [Video]

A tutorial video on how Natural Language Processing by our data scientist Hanna Julienne.

data science, tutorial, video, machine learning | October 27, 2015 | Thomas Thus

World Geopolitics through Hillary Clinton's emails

Today's subject is natural language processing with a dataset of choice: Hillary Clinton's emails. These emails are a hot topic in the current Democrat primaries. In this blog post, we will use...

Technology, data science, machine learning | October 25, 2015 | Hanna Julienne

Sports Analytics: Rugby 2015 World Cup (Updated)

The Rugby World Cup is starting! As a big fan of the French rugby team I can’t help but wonder if France is finally going to win the World Cup. As a data scientist, I also wondered if it was...

data science, machine learning, sports analytics | October 22, 2015 | Maxime Voisin

Interview: How To Get Started in Data Science? [Part 2]

Robert Dempsey is that cool, data-driven developer/marketer/explorer that everyone (or almost-everyone) wants to be. In part two of the talk I had with him in September, he had lots of words of...

data science, python, machine learning | October 19, 2015 | Alivia Smith

Unleash the power of Spark in DSS [Video]

On October 15th, Thomas Cabrol (Chief Data Scientist at Dataiku) presented our eight Free Training, "Unleash the power of Spark in DSS".

data science, tutorial, spark | October 15, 2015 | Thomas Thus

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