The Dataiku Blog

Claire Carroll

Recent Posts

Choosing a Valuable Data POC

POCs often feel like a gamble. You're testing the boundaries of your business's technological capacity and your ability to change at the same time. If your POC is an anomaly or you're unprepared...

POC, Team, organization, operationalization | February 19, 2019 | Claire Carroll

How Tinder Ensures You Can't Help Falling in Love

Dating apps are changing the ways we meet new romantic partners. Whether you’ve succumbed begrudgingly or gleefully, millennials on average spend 10 hours a week swiping and chatting on online...

Valentine, recommendation, romance, Data Science Basics | February 14, 2019 | Claire Carroll

Tackling the Cold Start Problem for Recommendation Engines

I recently moved to New York City, a true abundance of riches. I wanted to find “my coffee shop,” but sampling different locales is exhausting and disheartening. I cannot fathom trying a new cafe...

machine learning, recommendation, user experience | February 06, 2019 | Claire Carroll

Super Bowl Beer Recommendation Engines

The Super Bowl has a lot of traditions: great ads, good comfort food, and if you’re unlucky, a free cab home. But there is an important question that is likely to impact your overall happiness and...

recommendation, sports analytics, beer | February 03, 2019 | Claire Carroll

Go from Data-Driven to Insights-Driven

The road from a pile of data to business insights and from insights to action is paved with good intentions, but often learning things from data takes excessive time and energy. More often than...

Data Strategy, automation, Team | January 28, 2019 | Claire Carroll

How to Hire for Technical, Data-Centric Roles

Unemployment is low, and the demand for skilled workers is high in many industries. That means top tech talent is more in-demand than ever, and 87% of hiring managers find it difficult to get the...

hiring, Data Engineering, Team | January 17, 2019 | Claire Carroll

How AI Will Change Brick-and-Mortar Retail in 2019

Data science, machine learning, and AI have clear applications for e-commerce, and given their relative ease of implementation, most online retailers are already deeply invested in strategies like

computer vision, retail, deep learning | December 26, 2018 | Claire Carroll

Top Insights from 50 Chief Data Officers

Whether you’re a Chief Data Officer (CDO) yourself, you report to one, your organization has one, or you/your organization is looking to hire one, there is still much to learn about the...

Data Revolution, Data Strategy, big data | December 14, 2018 | Claire Carroll

Students Combat MS with Data Science

Machine learning can effectively be leveraged to support NGOs, but it often requires sponsorship and organizational support to generate the resources needed for such data explorations. The...

healthcare, Education, Tools, dataiku | November 29, 2018 | Claire Carroll

Data Tools We're Thankful For

It’s that time of year, when we take stock of all that we’re grateful for in our lives. Since we know that concretely expressing gratitude can make you happier, we’ve compiled a list of the top...
Thanksgiving, Data Science Basics, Tools, Open Source | November 22, 2018 | Claire Carroll

Driving Success through Business Insight, One Customer at a Time

Customer success at Dataiku is about companies achieving positive business outcomes through  their engagement and interaction with our product, and the customer success team does this by...

Customer Success, dataiku, Education, Team | November 21, 2018 | Claire Carroll

All About Scikit-Learn, with Olivier Grisel

 

Scikit-learn is one of the most popular data science tools in the world, and we wanted to learn more about how it's made. We spoke with Olivier Grisel, a full-time open source developer and one...

Open Source, scikit-learn, Education, Team | November 13, 2018 | Claire Carroll

Egg-Not-Egg Deep Learning Model

We’re really excited about our upcoming EGG Paris and EGG NYC conferences next week. There will be data science experts running demos, talks and use cases from industry leaders, and lots of...

egg, dataiku, Data Science Basics, deep learning, image classification | November 08, 2018 | Claire Carroll

Don’t Use AI When BI Will Suffice!

Artificial Intelligence (AI) offers organizations immense power, from predictions to recommendations to smarter decision making - but organizational resistance to this shift is a huge problem....

business intelligence, artificial intelligence, business | November 05, 2018 | Claire Carroll

Open Source Deep Dive with Olivier Grisel

We all know that open source is critical to data science, but we wanted to learn more about the process of creating these tools and the motivation driving the impressive people building them. Most...

Open Source, scikit-learn, Education, Team | October 29, 2018 | Claire Carroll

How AI Can Help Cope with Data Scientists’ Boredom

Data scientist churn is a big problem, and it’s not getting resolved through cushy perks and office snacks. Often the role can be repetitive and frustrating, and since data scientists are so...

ai, Team, churn | October 24, 2018 | Claire Carroll

From Project Manager to Data Champion — Conquer Your Data Projects

Project Managers are experts at adaptation and evolution. They know how to keep their team on track and on budget, while encouraging creative problem-solving. They have contingency plans for their...

data project, project manager, operationalization, Team | October 18, 2018 | Claire Carroll

All About Open Source

While many open source offerings fall outside the domain of data science, everyone knows that there is an open source tool (or twenty) for every data project. That's why we commissioned 451...

Open Source, data science | October 09, 2018 | Claire Carroll

A Three Month Data Analysis in Excel Could Have Taken Me One Day

This is the story of my literature thesis, which ran data analysis on short stories, and that I worked on to graduate with a B.A. in English this past May. It took me 10 laborious months of...

Education, case study, Data Science Basics | October 01, 2018 | Claire Carroll

Data Projects WILL Fail - Learn to Fail Quickly & Efficiently

In case you haven’t heard, a whopping 85% of big data projects fail (we’ve already talked about why). But data science is an inherently risky endeavor, so the challenge today is not how to avoid...

operationalization, data project, return on investment | September 21, 2018 | Claire Carroll
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