The Dataiku Blog

AI Gotchas (& How to Avoid Them)

Now that every company out there is doing artificial intelligence (AI) - or at least claims to be - it’s becoming more and more clear that it’s way too easy to fall into a few simple traps that...

EnterpriseAI, interpretability, ethics | January 08, 2019 | Lynn Heidmann

New Year's Resolution: Help Data Scientists Help You

Earlier this month, Forbes cited the key to getting value from data science as teamwork. That means in the coming year, with an increased focus on collaboration, lines of business will likely have...

Data Strategy, POC, organization | December 31, 2018 | Lynn Heidmann

How AI Will Change Brick-and-Mortar Retail in 2019

Data science, machine learning, and AI have clear applications for e-commerce, and given their relative ease of implementation, most online retailers are already deeply invested in strategies like

computer vision, retail, deep learning | December 26, 2018 | Claire Carroll

4 Reasons Santa Needs Machine Learning & AI

You know how the song goes - he’s making a list, he’s checking it twice. But if you ask us, all Santa Claus should really be doing come December is doing some light maintenance on his machine...

predictive maintenance, recommendation systems, data science | December 24, 2018 | Lynn Heidmann

Dataiku Series C: New Year, New Chapter

Democratizing data science is something Dataiku - both as a company and a product - has been working toward since its founding in 2013. So it’s with great pleasure that we announce today the...

announcement, Corporate, Funding | December 19, 2018 | Lynn Heidmann

Top Insights from 50 Chief Data Officers

Whether you’re a Chief Data Officer (CDO) yourself, you report to one, your organization has one, or you/your organization is looking to hire one, there is still much to learn about the...

Data Revolution, Data Strategy, big data | December 14, 2018 | Claire Carroll

Exploring the Gender Pay Gap with Publicly Available Data

There are plenty of studies that discuss the gender pay gap (here’s just one example). But as a data practitioner, I find those studies a bit frustrating. Not because I reject these pay gaps, but...

data project, data science, dataiku | December 12, 2018 | Alexandre Hubert

Let Automation Carry You from BI to AI in 2019

By now it’s clear that businesses that execute on artificial intelligence (AI) successfully are the ones that will move from doing one-off analysis, and even one-off models, to being able to...

organization, automation, ai | December 11, 2018 | Lynn Heidmann

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
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