The Dataiku Blog

Exploring the Gender Pay Gap with Publicly Available Data

There are plenty of studies that discuss the gender pay gap (here’s just one example). But as a data practitioner, I find those studies a bit frustrating. Not because I reject these pay gaps, but...

data science, dataiku, data project | December 12, 2018 | Alexandre Hubert

Why Machine Learning Interpretability Matters

Even though machine learning (ML) has been around for decades, it seems that in the last year, much of the news (notably in mainstream media) surrounding it has turned to interpretability -...

data science, machine learning, interpretability | December 04, 2018 | Lynn Heidmann

Technoslavia 2.5: Open Source Topography

Open source has always been a part of the data science landscape (as we explored here in 2015 and here in 2017). And while every tool in Technoslavia has some free offerings, we’re taking this...

data science, Technology, Open Source | November 07, 2018 | Florian Douetteau

How Data Science (+ Friends) Helped Me Learn French

Learning a new language can seem like an insurmountable challenge - however, approaching the problem with data science and using a few smart techniques can ease the learning curve and provide a...

data science, data project, API | November 01, 2018 | Noha Badawy

The Final Data Science Roadshow is Just the Beginning

The Dataiku Data Science Roadshow wrapped up its 12-country tour last week, and while they say all good things must come to an end, we’re happy to say that we still have more on the docket to...

data science, Events, Meetup | October 26, 2018 | Julia Günther

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...

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

Fewer Headaches (Thanks to Data Science)

Usually when you read about headaches in the context of data science and machine learning, it’s not in a positive context - generally, it involves the painful (so to speak) process of data cleaning

health care, data science, data project | October 08, 2018 | Rebecka Flynn

Build a Predictive Maintenance Engine with GIS Data

If you’re like most people, you enjoy turning on the faucet whenever you want and having water come out. But you’re also aware that every once in a while (hopefully not too much more) no water...

data science, predictive maintenance, GIS | October 03, 2018 | Nicolas Gakrelidz

The Data Science Roadshow is ON!

The Dataiku Data Science Roadshow is on - 17 cities, 12 countries, and countless data scientists and pizzas. This September, we decided to take our successful meetup series (traditionally held in...

data science, Events, Meetup | September 03, 2018 | Romain Doutriaux

The Hidden Costs of Data Silos

Today, being data driven means doing machine learning (ML) and artificial intelligence (AI) at a more macro level. But it also means empowering all employees at all levels of the company to use...

data science, Data Engineering, IT | August 07, 2018 | Pauline Brown

Tips & Tricks for Starting Your First Data Project

Taking on a first data project is no easy task - it's not clear where to begin, and of course, there are lots of bumps along the way. Here are some tips and tricks that we learned while embarking...

data science, business, machine learning | August 01, 2018 | Megan Fang and Robert Jett

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

Why AI Isn’t A Black Box (And Its Business Value)

Artificial intelligence (AI) is a powerful and growing field, but some are still hesitant to employ it, seeing it as a black box. However, if you take a second to step outside the box (see what we...

data science, ai, black box | July 17, 2018 | Megan Fang

I Can’t Afford to Hire a Data Scientist. Now What?

By now, it’s no secret that Harvard University named Data Scientist the sexiest job of the 21st century. Yet unfortunately, not every company can afford to hire one of these little superheros -...

data science, Academic, ngo | July 11, 2018 | Eva Neuner

Top-Down vs. Bottom-Up Approaches to Data Science

Data projects are generally organized in one of two ways: top-down (that is, starting with the business question) or bottom-up (starting with the data and working up to insights). But is there a...

data science, strategy, operationalization | July 10, 2018 | Alex Reutter

Data Science at Scale: Six Major Trends

Last week, Dataiku hosted an EGG-citing day of presentations and panel discussions from industry leaders and experts. The insights they provided tell us a lot about the current state of data...

data science, scale, egg | July 05, 2018 | Robert Jett

O16n On The House: Housing Predictions Made Easy

A big problem in machine learning (ML) is data scarcity, but operationalizing ML is an even bigger problem for enterprises (and is often overshadowed by the excitement for big data). Dataiku 4.3...

data science, machine learning, operationalization | June 25, 2018 | Megan Fang
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