The Dataiku Blog

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

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

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
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