The Dataiku Blog

Why Machine Learning Interpretability Matters

Even though machine learning (ML) has been around for decades, it seems that in the last year, much of the news (notably in mainstream media) surrounding it has turned to interpretability -...

machine learning, interpretability, data science | December 04, 2018 | Lynn Heidmann

The State of Data in Astronomy

Astronomy’s approach to data has drastically changed over the past two decades. From improved data collection methods to ML-based analytics, astronomers have more access to data than ever before.

scale, Academic, machine learning | December 03, 2018 | Anna Alonso

The Future of AI is the Enterprise

In early November, Dataiku CEO Florian Douetteau was a guest on BrightTALK’s Ask the Expert series, discussing The Future of Artificial Intelligence, including where exactly we are now and what’s...

artificial intelligence, EnterpriseAI, organization | November 30, 2018 | Lynn Heidmann

Students Combat MS with Data Science

Machine learning can effectively be leveraged to support NGOs, but it often requires sponsorship and organizational support to generate the resources needed for such data explorations. The...

healthcare, Education, Tools, dataiku | November 29, 2018 | Claire Carroll

You Can’t Do AI Without Augmented Analytics and AutoML

By now, the race to AI - and especially to using AI in the enterprise - is officially on. But if AutoML is not in your toolbox or if you’re not at least thinking about aligning the data...

autoML, organization, scale | November 26, 2018 | Lynn Heidmann

Data Tools We're Thankful For

It’s that time of year, when we take stock of all that we’re grateful for in our lives. Since we know that concretely expressing gratitude can make you happier, we’ve compiled a list of the top...
Thanksgiving, Data Science Basics, Tools, Open Source | November 22, 2018 | Claire Carroll

Driving Success through Business Insight, One Customer at a Time

Customer success at Dataiku is about companies achieving positive business outcomes through  their engagement and interaction with our product, and the customer success team does this by...

Customer Success, dataiku, Education, Team | November 21, 2018 | Claire Carroll

All About Scikit-Learn, with Olivier Grisel


Scikit-learn is one of the most popular data science tools in the world, and we wanted to learn more about how it's made. We spoke with Olivier Grisel, a full-time open source developer and one...

Open Source, scikit-learn, Education, Team | November 13, 2018 | Claire Carroll

Egg-Not-Egg Deep Learning Model

We’re really excited about our upcoming EGG Paris and EGG NYC conferences next week. There will be data science experts running demos, talks and use cases from industry leaders, and lots of...

egg, dataiku, Data Science Basics, deep learning, image classification | November 08, 2018 | Claire Carroll

Technoslavia 2.5: Open Source Topography

Open source has always been a part of the data science landscape (as we explored here in 2015 and here in 2017). And while every tool in Technoslavia has some free offerings, we’re taking this...

Open Source, Technology, data science | November 07, 2018 | Florian Douetteau

Don’t Use AI When BI Will Suffice!

Artificial Intelligence (AI) offers organizations immense power, from predictions to recommendations to smarter decision making - but organizational resistance to this shift is a huge problem....

business intelligence, artificial intelligence, business | November 05, 2018 | Claire Carroll

7 Awesome Things You Can Do in Dataiku Without Coding

As declared in Forbes just last month, businesses are starting to really wake up to the promise of what we call Enterprise AI. But what does that mean for the average non-coding analyst?

Data Preparation, Visual Data Analysis, data project | November 02, 2018 | Vincent de Stoecklin

How Data Science (+ Friends) Helped Me Learn French

Learning a new language can seem like an insurmountable challenge - however, approaching the problem with data science and using a few smart techniques can ease the learning curve and provide a...

data science, data project, API | November 01, 2018 | Noha Badawy

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...

halloween, ai, banana data, News | October 30, 2018 | Alivia Smith

Open Source Deep Dive with Olivier Grisel

We all know that open source is critical to data science, but we wanted to learn more about the process of creating these tools and the motivation driving the impressive people building them. Most...

Open Source, scikit-learn, Education, Team | October 29, 2018 | Claire Carroll

The Final Data Science Roadshow is Just the Beginning

The Dataiku Data Science Roadshow wrapped up its 12-country tour last week, and while they say all good things must come to an end, we’re happy to say that we still have more on the docket to...

Meetup, data science, Events | October 26, 2018 | Julia Günther

How AI Can Help Cope with Data Scientists’ Boredom

Data scientist churn is a big problem, and it’s not getting resolved through cushy perks and office snacks. Often the role can be repetitive and frustrating, and since data scientists are so...

ai, Team, churn | October 24, 2018 | Claire Carroll

MVP for Data Projects

Often when companies get started with data projects (especially when the initiatives come from the C-suite or from the top down), they bite off more than they can chew and end up with...

operationalization, MVP, data project | October 22, 2018 | Lynn Heidmann

From Project Manager to Data Champion — Conquer Your Data Projects

Project Managers are experts at adaptation and evolution. They know how to keep their team on track and on budget, while encouraging creative problem-solving. They have contingency plans for their...

data project, project manager, operationalization, Team | October 18, 2018 | Claire Carroll

Self-Service Analytics or Operationalization: Which Should I Implement?

Many organizations with the hope of becoming more data-driven ask the question: self-service analytics, or data science operationalization - which will get me where I need to be? And the answer...

operationalization, self-service analytics, organization | October 16, 2018 | Lynn Heidmann
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