The Dataiku Blog

How to Hire Great Data Scientists (They’re Not Mythical Creatures Anymore!)

Today is International Unicorn Day, and we’re joining Pivigo in their campaign to show the breadth, diversity, and power of data scientists and the data science network. Because they’re ...

organization, data science, hiring | April 09, 2018 | Romain Doutriaux

EGG Guest Speaker Andrea Gallego, Principal & CTO at BCG Gamma, on Driving Change with Analytics at Scale

When it comes to creating a data-driven enterprise, it isn't only about choosing the right technology. Take it from Andrea Gallego, Principal & CTO at BCG Gamma, who explains how to successfully...

organization, data science, scale | April 05, 2018 | Pauline Brown

Goldman Sachs Data-First Approach: Mayur Thakur, EGG Guest Speaker

Building a comprehensive surveillance platform requires scalability, business understanding, and smart algorithms that work on large amounts of text, graph (social networks), and time-series data....

organization, data science, scale | March 28, 2018 | Pauline Brown

Scaling Data Science at Pfizer: Chris Kakkanatt, EGG Guest Speaker

One of the biggest challenges large enterprises face today is how to scale data science efforts such that the business actually gets an exponential amount of value from the exponential quantity of...

organization, data science, scale | March 20, 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

The BI to AI Shift Has Happened: How to Catch Up (+ Why it Matters)

It’s something that’s been happening slowly over time, yet also (somehow) conversation around it seemed to change suddenly overnight: business intelligence (BI), which was once the sign of a...

data science, artificial intelligence, business intelligence | March 09, 2018 | Lynn Heidmann

Inspiration from Ladies in Data for International Women’s Day

To celebrate International Women’s Day, we brought together just a few of the fierce females here at Dataiku to talk about our role in the world of tech, and more specifically, what we bring to...

Interview, data science, Corporate | March 08, 2018 | Lynn Heidmann

Behind the Scenes: Interview with Data Scientist Matthieu Scordia

If you've ever wondered what a day in the life, or the mind, of a data scientist is like, you're in luck; Data Science Weekly did an interview with one of our data scientists, covering everything...

Interview, data science, dataiku | March 07, 2018 | Lynn Heidmann

Talk Data Governance with Us This Month

Well actually, if you ask us, every month is a great one for talking about data governance. But this month, we wanted to take a special deep dive and focus into one of the most important topics...

organization, data science, data governance | March 01, 2018 | Lisa Bardet

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

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

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

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
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