The Dataiku Blog

How to Make Predictive Maintenance Actionable for Your Team

For companies in fields like manufacturing and logistics, predictive maintenance is one of the most compelling use cases of machine learning. Just imagine: as every day passes (and as you...

Product, Data Preparation, predictive maintenance | November 01, 2017 | Robert Kelley

To Scale Your Data Efforts, Learn from the Best

Even though data science and machine learning - and even artificial intelligence and the internet of things - have been around for years now, survey after survey conducted (here’s just one recent...

Corporate, Events, announcement | October 31, 2017 | Pauline Brown

Future Data Analyst Role #3: The Data & Analytics Product Owner

We've already done two previous posts on the Analyst of the Future where we presented to you the Data Connector and the Data Modeler, two essential roles on tomorrow's analytics teams. Today,...

organization, machine learning, Data analysis | October 30, 2017 | Robert Kelley

Top 5 Halloween Costumes for Data Fiends

Love all things data science, machine learning, and AI? Love Halloween? No trick, we have a treat for you: the top five Halloween costumes for data fiends, revealed!

Corporate, Events, halloween | October 27, 2017 | Alivia Smith and Lynn Heidmann

Small Step for Piccadilly Circus, Giant Leap for AI and Advertising

Today, Piccadilly Circus in London is alight once again, now equipped with so-called “super billboards,” bringing the advances of machine learning (ML) and artificial intelligence (AI) in...

business, machine learning, media | October 26, 2017 | Lynn Heidmann

Preparing for GDPR Compliance at GoDataFest in Amsterdam

Talk about the EU General Data Protection Regulation (GDPR) is heating up as the enforcement deadline looms closer, and at GoDataFest October 16-20 in Amsterdam, the topic was covered at length in...

business, Events, data governance | October 23, 2017 | Romain Doutriaux

What It's Like to Get Started in Data Science

We attended the National Learn to Code Day in Toronto this year, and in addition to helping out with the event, we had a chance to talk with three participants and an instructor about what it’s...

data science, Events, machine learning | October 19, 2017 | Lisa Bardet

Using Dashboards to Get a Feel for Your Model Before You Build It

Some people love surprises and others hate them, but there’s nothing fun about running a predictive model and then getting head-scratching results. In our sample project gallery, we’ve set up a...

Data Visualization, Product, Data Preparation | October 18, 2017 | Robert Kelley

Technoslavia: Where Are We Now?

The first time we introduced the idea of Technoslavia - the heterogeneous and fragmented picture of the technological world of data infrastructure - was nearly two years ago (I know, we can’t...

Technology, collaboration, Data Engineering | October 17, 2017 | Florian Douetteau

Future Data Analyst Role #2: The Data Modeler

In a previous post, we introduced the role of the Data Connector, a future analyst role that is focused on connecting to data, preparing that data, and making sure that insights are delivered as...

organization, machine learning, Data analysis | October 12, 2017 | Robert Kelley

Bridging the Gender Gap in Data Science with Ladies Learning Code

When Ladies Learning Code first contacted us about using Dataiku for their National Learn to Code Day, of course we were thrilled to help 1,500 people - mostly women - take their first steps in...

Corporate, Events, partnerships | October 10, 2017 | Lisa Bardet

Building Data Communities in the Netherlands

Exciting news: as part of our continuous effort to bring the data community together, we have partnered with GrowthTribe in Amsterdam to offer the first ever artificial intelligence (AI) course...

Partnership, Corporate, announcement | October 06, 2017 | Antoine Moyroud

Behind the Scenes at National Learn to Code Day

On Saturday, September 23rd, we took a trip to Toronto to join 1,500 data enthusiasts as they took their first journey into the world of data science. It was the fifth annual edition of the ...

Data Science Basics, Academic, Events, machine learning | October 02, 2017 | Lisa Bardet

Future Data Analyst Role #1: The Data Explorer

What does the future look like for data and business analysts? From our perspective, it's exceedingly bright, because if you're an analyst today, you're in a better position than anyone else to...

organization, machine learning, Data analysis | September 28, 2017 | Robert Kelley

EGG2017: Innovate. Get Ahead. Disrupt. And Embrace Unconventionality.

Today, we’re officially unveiling EGG2017, Dataiku’s first large-scale data science and analytics conference. With EGG2017, our aim is to bring together pioneers and visionaries of the data...

Corporate, Events, announcement | September 22, 2017 | Pauline Brown

Equifax: Wishing for GDPR, Now, Everywhere

For anyone affected by the Equifax data breach (which is to say most adult Americans), it’s been a long 10-ish days of following the latest news, waiting on customer service hold, website errors, ...

organization, business, data governance | September 20, 2017 | Lynn Heidmann

Some Recommendations on Recommendation Engines

Today, recommendation engines are ubiquitous. While some are easy to spot, featured in a nice neat “Recommended for You” section, so many more lurk behind the scenes. In fact, it’s entirely likely...

data science, machine learning, recommendation systems | September 18, 2017 | Lynn Heidmann
Page 1 of 15