At Dataiku, every new member of the team, either marketer or superstar data scientist, learns the Dataiku platform with the Titanic Kaggle Competition. It's such a milestone in the company that...
Alivia Smith
Recent Posts
Why Data Visualization and Dashboards Matter
Data teams spend a majority of their time cleaning and wrangling data in order to extract valuable business insights. The numbers should speak for themselves, so oftentimes data visualization and...
7 Fundamental Steps to Complete a Data Project
It's hard to know where to start once you’ve decided that yes, you want to dive into the fascinating world of data and AI. Just looking at all the technologies you have to understand and all the...
What Really Scares Us in AI
When I very enthusiastically joined Dataiku over 3 years ago, I was full of hope in technology, the startup world, and empowering people with data.
Our Favorite Spooky AI & Data Articles
It’s everyone’s favorite time of year - and you have your costume all planned (though if you don’t, here are a few ideas), and are looking forward to you’ve your night out or night in (Hocus Pocus...
Welcome to Dataiku University!
It's almost back to school and we got you covered with our new free online data science course.
What's With All the Privacy Policy Emails?
You have GDPR to thank for the recent assault on your inbox.
Must-Subscribe Data Science Newsletters for 2018
If you haven't quite stayed on top of data-related news and developments this year, well - now is the time to turn over a new leaf (and we have you covered). We all have our noses to the ground...
How to Be a(n Even Better!) Data Scientist in 2018
It’s that time of year again: time to make (and hopefully keep this time!) your new year’s resolutions. If one of yours is to be a better data scientist, you’re in luck. We asked talented data...
What I've Learned from Writing 100 Weekly Data Science Newsletters
Almost two years ago, we got together with the marketing team at Dataiku and decided that if we wanted to be more cutting edge in our content, we should launch a weekly newsletter of the coolest...
Introducing Our New Data Science Blog
Letting your kids grow up and leave home is a pain every parent must know. And that's kinda how we feel today, watching our data scientists go out into the wild and creating their own data science...
Your Checklist to Get Data Science Implemented in Production
Building a data science project and training a model is only the first step. Getting that model to run in the production environment is where companies often fail.
Introducing Dataiku 4.0.1 with the "Power" of Apache Slug
We are very pleased to announce that the latest version of Dataiku (4.0.1) now fully sports Apache Slug, giving users the capability to execute code in microbatches. Dataiku and Apache Slug...
Top Trends: Putting Data Science in Production Today
We wondered why some companies successfully implement machine learning models into their operational system, and others don't.
Top Trends from Big Data World 2017
I've just come back from an awesome/exhausting two days at Big Data World 2017. It was a whirlwind of interesting talks with interesting people, new product discoveries, awesomely weird goodies,...
Want to Make your Data Science Team Efficient? Focus on Production.
By "efficient" data science team, I mean "data science that brings maximum productivity."
Infographic: How Does Your Data Science Production Process Compare?
Deploying your data science models into production often requires complex processes and resources that can lead to the failure of your data project. How do companies handle this process?
Professor Dan Adelman (University of Chicago) on How He Uses Dataiku to Teach
Here’s how Dan Adelman, Professor of Operations Management, uses Dataiku for his classes at The University of Chicago Booth School of Business. Professor Adelman joined the Dataiku Academic Program
The Dataiku Academic Program: Resources for Academics and Researchers
It’s about time we sat down and told you a little bit about our Academic Program.
How to Really Grow your Data Science Team
If you’re looking to intensify your data science efforts, it’s pretty fundamental for you to sit down with your current team and really ask yourself how you’re all going to make this work.
