The Dataiku Blog

Disease Outbreak Assistance with Data: NATO ACT Innovation Challenge

For many organizations, the most difficult part of a data project is not the collection of the data, but rather the ability to extract actionable insights in a scalable way and in a specific time...

data science, machine learning, defense | June 05, 2018 | Remi Meunier

The Key to Getting Value from IoT? Organizational Change.

Thus far, most of the buzz surrounding the Internet of Things (IoT) movement has been one of niche (and often kooky) smart products. At least in the media, the industrial side - being used in...

data science, machine learning, iot | May 04, 2018 | Lynn Heidmann

ML & AI in the Pharmaceutical Industry: Where the Biggest Gains Lie

After a century of rapid progress in the development of new medications, the discovery of new drugs has slowed significantly, and the process of developing new pharmaceuticals has become more and...

data science, machine learning, pharmaceutical | April 25, 2018 | Lynn Heidmann

Small Company, Big Data Science

Much of the focus and attention on data science, machine learning (ML), and artificial intelligence (AI) falls on huge enterprises and the sweeping, innovative gains they’ve made in the space. But...

data science, machine learning, SMB | March 14, 2018 | Clay Kelly

Top 3 Reasons Supply Chain is a (Relatively) Easy AI Win

In January 2018, Business Insider found that 42 percent of organizations surveyed identified supply chain and operations as driving revenue from AI capabilities today. Early adopters are...

machine learning, ai, supply chain | February 27, 2018 | Lynn Heidmann

Rent, Rain, & Regulations: What Predicts Crime in Portland?

Crime is an issue that is present everywhere; it’s in every city and in every country in the world. Preventing, intervening in, and rectifying harm done by crime costs $10 billion annually in the...

data science, machine learning, predictive analytics | February 20, 2018 | Jorie Koster-Hale

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
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