The Dataiku Blog

Dataiku Named a “Visionary” for 2nd Consecutive Year in Gartner Magic Quadrant for Data Science and Machine-Learning Platforms

Gartner has released its 2018 Magic Quadrant for Data Science and Machine-Learning Platforms, and we’re excited to have been named a “Visionary” for the second consecutive year! 

Corporate, announcement, dataiku | February 23, 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

Build Your Own Google Analytics

If you run a website, it’s so simple to use a service like Google Analytics that you probably never consider doing it yourself. But there are advantages to building your own tool to analyze your...

Data Visualization, Data Preparation, Data analysis | February 15, 2018 | Robert Kelley

Bringing Enterprise AI Into Focus

It’s been nearly six months since our last update on what’s been going here at Dataiku (time flies!). Since our Series B announcement, we’ve been busy not only serving the larger data community as...

Corporate, announcement, dataiku | February 14, 2018 | Lynn Heidmann

From Inception to End-Consumer, AI Poised to Change Automotive

When most people think artificial intelligence (AI) and automotive, they think of connected cars and the potential they have to change our world as consumers. But the opportunities for advanced...

data science, artificial intelligence, automotive | February 09, 2018 | Lynn Heidmann

Need a Data Translator? Try an Analyst.

 There’s a new Harvard Business Review article (You Don’t Have to Be a Data Scientist to Fill This Must-Have Analytics Rolethat’s getting hundreds to shares on social media, and it makes some...

organization, Data analysis, trends | February 08, 2018 | Robert Kelley

On Connecting Data to Purpose & Other CDO Challenges

Today's Chief Data Officers (CDOs) juggle many different challenges, some of them new and uncharted territory for enterprises that have just introduced the role for the first time or are taking...

organization, data science, Team | February 07, 2018 | Monica Suh

Let’s Talk Real Weather Prediction on Groundhog Day

Since circa 1887, our friend Punxsutawney Phil has been gracing us with his presence on February 2. Luckily for us, the Washington Post already a cool analysis in 2015 and Jeremy Neiman did...

Data Visualization, data science, deep learning | February 02, 2018 | Lynn Heidmann

A Beer Recommendation Engine Project for Your Super Bowl Sunday

The Super Bowl is upon us again, and that means excitement about, in order of importance: advertisements, beer, Justin Timberlake, snacks as a meal, and football. Since ads have already been leaked

data science, recommendation systems, deep learning | February 01, 2018 | Lynn Heidmann

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

Does Analytics Capability Dictate Company Performance?

Companies collect data and love to talk about data, but as it turns out, not that many large enterprises actually use it effectively: it’s a headline we’ve seen over and over again for the past...

organization, business, performance | January 29, 2018 | Pauline Brown

The Role of DataOps in Data Science

By writing this article, I wanted to gather statements and thoughts about DataOps to create a better understanding of the role and its future. In the era of infrastructure as code and cloud, do we...

data science, collaboration, DataOps | January 26, 2018 | Joel Belafa

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

Let’s Talk Data Science Near You!

Have you heard? We’ve been taking over the NYC meetup scene by inviting our favorite companies to talk about their data projects. And now we’re expanding to many more US cities in 2018!

data science, Events, Meetup | January 15, 2018 | Lisa Bardet

Everything You Wanted to Know About Dataiku Tech & Implementation (But Were Afraid to Ask)

Got questions about implementing Dataiku or the technology behind it? Clément Stenac, co-founder and CTO here at Dataiku, has answers.

Interview, Corporate, dataiku | January 09, 2018 | Lynn Heidmann

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
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