The Dataiku Blog

Public Sector, Nonprofits Have Lots to Gain with ML & AI

When it comes to machine learning (ML) and artificial intelligence (AI) opportunity, many people immediately think of sleek Silicon Valley companies inventing the latest gadgets that will,...

data science, machine learning, case study | January 31, 2018 | Lynn Heidmann

Why Anomaly Detection Matters to (Almost) Everyone

Across industries, technologies, and use cases worldwide, there is perhaps no other data science strategy more important to understand and to leverage than anomaly detection. While useful across...

data science, machine learning, anomaly detection | January 18, 2018 | Lynn Heidmann

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

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

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

New Release from Dataiku: The Hub for Enterprise Analytics and Machine Learning. Improved.

Dataiku 4.1, our brand new release, is a leap forward in our mission to bring the power of data science and machine learning at scale to people and organizations everywhere. Already, some Dataiku...

Product, machine learning, release | November 14, 2017 | Robert Kelley

6 Ways Advanced Analytics Will Change Media & Entertainment

Media and entertainment companies are facing increasingly competitive and uncertain markets - consumers have more ways than ever to get their content, driving the need to operate in smarter, more...

business, machine learning, media | November 07, 2017 | Dan Harris

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

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

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

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

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

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

Predict Your Most Profitable Customers with Dataiku

Imagine: you have a global e-commerce company selling and shipping products all around the world. You would love to be able to predict which customers will bring the most value to your business so...

Product, machine learning, predictive analytics | August 30, 2017 | Robert Kelley

Watch a Clustering Algorithm Work in the Wild

Previously, we’ve discussed regression and classification algorithms, and now that you're an expert in these types of supervised learning, it's time to delve into unsupervised learning....

Data Science Basics, machine learning, clustering | August 16, 2017 | Robert Kelley
Page 1 of 4