The Dataiku Blog

Claire Carroll

Recent Posts

Interview with CDO Club Founder, David Mathison

Chief Data Officers (CDOs) are taking the data world by storm, but their role is relatively new, and subsequently, there's not much established wisdom on how to be effective in this role.

Interview, CDO, community | April 18, 2019 | Claire Carroll

How to Determine the Value of Your Data Initiatives

 Calculating the Return on Investment (ROI) on a business project is a necessary evil. On the one hand, you need ROI to determine the most impactful ways of spending your human and financial...

business, roi, data project | April 16, 2019 | Claire Carroll

Can AI Actually Be an Objective Judge?

The small nation of Estonia bet on the Internet when it was founded in 1991 and has since been a strong defender of digital technologies and internet connectivity as a universal right and tool for...

ai, ethics, Law | April 10, 2019 | Claire Carroll

Insights from Data Professionals: Challenges & Misconceptions

Data science is a team sport that needs to be collaborative to be successful, but data leaders and practitioners often disagree on where exactly responsibility for data quality and data science...

Team, egg, Enterprise Ai | March 20, 2019 | Claire Carroll

Introducing Dataiku 5.1: Here's The Inside Scoop

Dataiku is always evolving and improving to better help our users, and the release of Dataiku 5.1 is no different, helping users collaborate and leverage data to drive success. 

Product, Corporate, announcement | March 06, 2019 | Claire Carroll

Why You Should Care About the Data Revolution

More than 90 percent of the data that exists was produced in the last two years, and we’re generating 2.5 quintillion more bytes every day.  The Data Revolution is here, regardless of how prepared...

Data Revolution, Data Leaders, Enterprise Ai | March 05, 2019 | Claire Carroll

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...

organization, Team, POC, 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...

recommendation, Data Science Basics, Valentine, romance | 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...

recommendation, machine learning, 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...

Team, Data Strategy, automation | 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...

Data Engineering, Team, hiring | 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

deep learning, retail, computer vision | 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...

big data, Data Strategy, Data Revolution | 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, dataiku, Education, Tools | 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...
Data Science Basics, Open Source, Tools, Thanksgiving | 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...

Team, dataiku, Education, Customer Success | 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...

Team, Education, Open Source, scikit-learn | 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...

Data Science Basics, deep learning, dataiku, image classification, egg | 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, artificial intelligence, business intelligence | November 05, 2018 | Claire Carroll
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