The Dataiku Blog

What Is Marketing AI and Why Does it Matter?

The evolution of artificial intelligence, machine learning and big data have been an increasingly integral part in the transformation of many industries, and marketing is no exception. Data-driven...

marketing, deep learning, artificial intelligence | June 03, 2019 | Nancy Koleva

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

Practical Deep Learning

If this month’s Google I/O conference is any indication, then incorporating machine learning (and deep learning) into existing products and processes to make them more efficient or useful is the...

data science, deep learning, Education | May 21, 2019 | Lynn Heidmann

How to Create a Data Team

Hype around AI means that more and more, businesses are dedicating huge sums of money to assembling large data teams and setting them loose, hoping they produce results on their own. Often, they...

organization, Data Strategy, Enterprise Ai | May 17, 2019 | Lynn Heidmann

How AI Will Change Marketing (and Marketers)

It's no secret that introducing data science, machine learning, automation, and (eventually) AI into the world of marketing will be a critical factor to success. Yet it also means a fair bit of...

marketing, segmentation, business | May 13, 2019 | Lynn Heidmann

How Will Machine Learning and AI Change My Organization?

Whether businesses have a specific aversion to change or they simply find change too difficult to manage, the bottom line is that it holds companies back. Yet in the age of machine learning and...

organization, artificial intelligence, change management | May 09, 2019 | Lynn Heidmann

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

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

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

Why Operationalization is Hard (But It Doesn’t Have to Be)

Flashback to 2004, start year of Project Purple, which would later give birth to a piece of engineering that has shaped the world as we know today: the iPhone. In 2006, after $150 million invested...

Production, data science, operationalization | April 30, 2019 | Sofiane Fessi

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

When Good Data Team Hiring & Open Source Aren’t Enough

Smart hiring (and retention) of data scientists combined with the power of open source can get companies started in their machine learning (ML) efforts. But the path to Enterprise AI means...

data governance, Open Source, Enterprise Ai | April 23, 2019 | Lynn Heidmann

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

Making Sense of Startup Ecosystem Data

When it comes to data on startups, Startup Genome is the gold standard - their yearly report on the startup ecosystem is well-respected (not to mention well-cited). But how are they able to find...

start-up, case study, data project | April 11, 2019 | Lynn Heidmann
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