The Dataiku Blog

Claire Carroll

Recent Posts

Four Ways to Dive into New Product Releases

New product releases are exciting, but can also come with some amount of confusion; how will the tool you know and love change? Will your workflow need tweaking? And most importantly, how will you...

Data Science Basics, Product, case study | June 14, 2019 | Claire Carroll

Facial Recognition Under Fire in the U.S. Congress

The age of unsupervised tech deployment may be coming to an end. While Amazon stakeholders recently voted not to impede the sale of facial recognition tech over privacy concerns,  the U.S. House...

Federal, Facial Recognition, Privacy & Civil Liberties | June 05, 2019 | Claire Carroll

Top 7 Free Resources for Data Scientists

Data Scientists are a passionate and curious bunch, who explore the ecosystem to learn new technologies and best practices but you've only got part of the picture if you don't have all the...

data science, machine learning, Education | May 30, 2019 | Claire Carroll

The Impact of GDPR After One Year

Today is GDPR's first birthday, so it's a great opportunity to look at how organizations have adapted in the last year. While most users felt the impact of GDPR in the form of cookie notifications...

compliance, gdpr, data privacy | May 25, 2019 | Claire Carroll

How to Activate your Academic Project with Data

We talked to a project team from Georgia Tech with members in the Analytics MS and the Computer Science MS. Shelly Kunkle at Michelin, Melanie Laffin at Capgemini, Katrina Green at Vrbo.com, and ...

big data, Academic, data project | May 23, 2019 | Claire Carroll

McDonald's Turns to AI for a Better Burger

While Burger King may still be poking fun at AI following their robot commercials last year, other burger titans embrace AI as the next step in their evolution. This year, Wendy’s announced that...

recommendation, Restaurants, data ethics | May 08, 2019 | Claire Carroll

Healthcare Analytics from the Pros

Medicine is always evolving, but healthcare as an industry struggles to incorporate data analytics into their workflows.  We sat down with a crew of expert researchers, data scientists, and...

healthcare, Data analysis, data governance | May 01, 2019 | Claire Carroll

Top 13 Data Science Resources for Analysts

Analysts are eager to dive into new challenges, but you've only got part of the picture if you don't have all the information necessary to understand new industries and technologies. That's why we...

data science, machine learning, Analysts | April 25, 2019 | Claire Carroll

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
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