The Dataiku Blog

Data Scientist vs. Data Analyst - What’s the Difference?

Whether you’re a student deciding on a career path, a data analyst looking for a change, or a business owner looking to hire data talent, the question of data scientist vs. data analyst (or...

organization, data science, Data analysis | May 03, 2019 | Lynn Heidmann

PwC: On GDPR and the Future of Data Privacy Regulations

The effects of the European Union’s General Data Protection Regulation (GDPR) swept across the globe last year as the enforcement deadline came and went in May 2018. But GDPR is really just the...

organization, data privacy, data regulations | March 11, 2019 | Lynn Heidmann

Do More Machine Learning & AI (Without More Data Scientists)

Let’s face it - almost no business today can afford to hire the amount of data scientists it would take to go from producing one machine learning model to 1,000 (or for that matter, 1 million)...

organization, data science, scale | March 01, 2019 | Lynn Heidmann

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

New Year's Resolution: Help Data Scientists Help You

Earlier this month, Forbes cited the key to getting value from data science as teamwork. That means in the coming year, with an increased focus on collaboration, lines of business will likely have...

organization, POC, Data Strategy | December 31, 2018 | Lynn Heidmann

Let Automation Carry You from BI to AI in 2019

By now it’s clear that businesses that execute on artificial intelligence (AI) successfully are the ones that will move from doing one-off analysis, and even one-off models, to being able to...

organization, ai, automation | December 11, 2018 | Lynn Heidmann

The Future of AI is the Enterprise

In early November, Dataiku CEO Florian Douetteau was a guest on BrightTALK’s Ask the Expert series, discussing The Future of Artificial Intelligence, including where exactly we are now and what’s...

organization, artificial intelligence, EnterpriseAI | November 30, 2018 | Lynn Heidmann

You Can’t Do AI Without Augmented Analytics and AutoML

By now, the race to AI - and especially to using AI in the enterprise - is officially on. But if AutoML is not in your toolbox or if you’re not at least thinking about aligning the data...

organization, scale, autoML | November 26, 2018 | Lynn Heidmann

Self-Service Analytics or Operationalization: Which Should I Implement?

Many organizations with the hope of becoming more data-driven ask the question: self-service analytics, or data science operationalization - which will get me where I need to be? And the answer...

organization, operationalization, self-service analytics | October 16, 2018 | Lynn Heidmann

First Data Project? Go Tandem! (AVISIA at Play)

If you were going skydiving for the first time, you’d definitely want to go tandem and be attached to an experienced instructor to make sure things go right. And for data projects, while the risk...

organization, data science, partnerships | July 27, 2018 | Anaïs Kassapian

5 Lingering Questions in 2018 + 5 Budding Trends to Watch for 2019

We’re now officially halfway to 2019 (or 2018 is half over, if you’re a glass-half-empty type), and this year was supposed to be the one where all kinds of companies made revolutionary strides in...

organization, data science, ai | June 20, 2018 | Lynn Heidmann

Insights for Good: The Women and Children’s Health Research Institute

Efficient data science at scale is a topic that is not only of interest for big companies, but also (and particularly) for academics and non-profits due to their often limited time and financial...

Partnership, organization, ngo | June 07, 2018 | Eva Neuner

Marketing for Data Scientists (Or: Make Sure People Know What You Do)

It is a bit ironic that the employees who are changing the world of marketing the most, data scientists, tend to have the greatest challenge marketing themselves to the companies in which they...

marketing, organization, data science | June 06, 2018 | Robert Jett

Want to Be a Data-Powered Organization? Start With These 3 Steps.

Throughout 2018, we’ve chosen to feature a specific theme each month surrounding data science, machine learning, and artificial intelligence (AI). In June, we want to talk about becoming a...

organization, management, trends | June 01, 2018 | Lynn Heidmann

Top 3 Focus Areas for CDOs in 2018

There’s a data revolution coming alive at enterprises worldwide with everyone talking about - and racing toward - advances in machine learning, predictive analytics, and artificial intelligence....

organization, business, CDO | May 16, 2018 | Lynn Heidmann

Best Practices: Encourage Collaboration And Reusability In Data Science

The ability for people to work together on projects and to reuse each others' work can make or break a data team, making the difference between one that's scalable and productive vs. stagnant....

organization, data science, scale | May 15, 2018 | Pauline Brown

From the Trenches: Transforming Organizations Around Analytics

Driving organizational change at any level is not easy, which is why so few enterprises - even in the midst of the current IoT, AI, and machine learning revolution - have managed to pivot to...

organization, data science, scale | May 07, 2018 | Pauline Brown
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