The Dataiku Blog

Data Prep, Tools, and Teams: What it Takes to Create Data Value

Today’s companies don’t have a data problem - they have a data value problem. We talked about this a lot in 2017 (here’s just one example), but alas, it’s still a major challenge that many...

organization, business, collaboration | January 05, 2018 | Lynn Heidmann

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...

recommendation, News, data science | December 27, 2017 | Alivia Smith

HO HO HOliday Music Data Analysis

If there’s one thing that unites all of us during the festive holiday season, it’s music. Holiday tunes resonate with everyone, and whether you’re a fan of the old classics or the new hits, who...

Data Visualization, data science, anomaly detection | December 22, 2017 | Silviu Tofan

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...

data science, advice, Q&A | December 21, 2017 | Alivia Smith

Top 6 Mistakes to Avoid When Running a Data Science POC

A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what...

data science, POC, proof of concept | December 19, 2017 | Julien Moreschetti

Machine Learning Momentum in Germany

Undoubtedly, 2017 has been yet another hype year for data science, particularly ML and AI. And while the associated technological and organizational evolutions are happening across the globe, they...

data science, machine learning, predictive maintenance | December 15, 2017 | Antoine Moyroud

Data Resolutions for a New Year

With the holiday jams blasting, eggnog a-flowin’, and twinkly lights abound, it’s hard not to get into the spirit of the season. All the excitement has us a bit nostalgic, looking back on the year...

organization, business, new year's | December 14, 2017 | Lynn Heidmann

Automated Machine Learning Where You're Still the Pilot

Automated Machine Learning (AML) is a concept that’s resonated with many data scientists. Essentially, it means taking as many of the tedious, repetitive tasks associated with data projects (such...

Product, data science, machine learning | December 12, 2017 | Robert Kelley

Defense and Security: Data Explosion (& Accompanying Challenges)

The Internet of Things (IoT) is infiltrating the world of defense and security at an astounding pace, so the amount of data available to intelligence and security agencies is, unsurprisingly,...

business, machine learning, defense | December 11, 2017 | Remi Meunier

What You Missed at EGG2017 (+ Looking Forward to EGG2018!)

In case you missed it, at the end of November, we hosted our very first conference in New York: EGG2017. Now that the sold out event’s dust has settled, we wanted to share a few takeaways from the...

organization, Corporate, Events | December 08, 2017 | Pauline Brown

Top 4 Data Science Trends to Watch in 2018

As 2017 comes to a close, it’s time to look forward at what’s ahead in the wide world of data science. While last year was the year that the idea of deep learning really began to make its way into...

data science, deep learning, trends | December 07, 2017 | Lynn Heidmann

Today is the Day to Earn the Title: Data Ninja

You're forgiven if you've somehow forgotten the fact that today, December 5, is International Ninja Day. Ninjas became prominent in Japan in the 15th century, and by the 18th century, even though...

training, Data analysis, fun | December 05, 2017 | Robert Kelley

Dataiku + AWS: A Match Made in (ML) Heaven

Today, we’re very proud to announce that Dataiku achieved the AWS Machine Learning Competency status. Why, you ask? Well, our mission is (and always has been) to enable all enterprises to become...

Partnership, Corporate, announcement | December 01, 2017 | Thomas Cabrol

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...

Corporate, announcement, artificial intelligence | November 24, 2017 | Alivia Smith

Combine Unsupervised and Supervised Machine Learning to Predict Churn

Predicting customer churn is a classic use case for machine learning: feed a bunch of user data into a model -- including whether or not the users have churned -- and predict which customers are...

Product, clustering, churn | November 23, 2017 | Robert Kelley

Black Friday Is Not Dead, but Retailers Might Want it to Be

As we launch into the holiday season, publications - Forbes, Business Insider, The Washington Post, just to name a few- are rife with claims that Black Friday is dead. While this claim is...

data science, machine learning, recommendation systems | November 21, 2017 | Lynn Heidmann

Demystifying the CDO Role: The New Kids on the Block

As the amount of data collected by enterprises worldwide continues to explode and the expectations for increasing insights and return on investment (ROI) from that data rise in parallel, the Chief...

organization, business, collaboration | November 15, 2017 | Jennifer Roubaud
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