The Dataiku Blog

From the Sidewalk to the Saddle: Data and the Tour de France

As the third largest sporting event, it’s no wonder that the Tour de France (which kicks off July 7th) has engaged in the data revolution. The goal is to offer real-time insights to the estimated...

predictive analytics, sports analytics, iot | July 06, 2018 | Lisa Bardet

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

Boost Computation Power and Speed with Snowflake

Make them feel special-- this is key in marketing, business, and dating.  

It’s no different in the tech world. Companies want products with more functionality and customizability,  and a plugin...

machine learning, cloud computing, databases | July 02, 2018 | Megan Fang

The Secrets of Successful Data Science Education

As data-related roles continue to be some of the most in-demand across enterprises worldwide, education for budding data scientists, analysts, engineers, etc., becomes increasingly important.

Data Science Basics, Academic, Education | June 28, 2018 | Eva Neuner

Why Data Science Projects Fail

Data science teams are not that different from other teams within a company. So why do 85 percent of their projects fail?A quick Google search of the question “Why do data science project fail”...

business, Team, strategy | June 27, 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

Data Science in Trading: Why it Matters and How to Execute

Data science has created a new capacity for powerful analysis by traders that, so far, few have taken advantage of. While quants have been doing data science for awhile now, traders have been...

machine learning, banking, trading | June 22, 2018 | Alexandre Hubert

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

NLP In Under 5 Min

AI is the sexiest trend in tech, and NLP (Natural Language Processing) is one of its many branches. NLP is the ability of a machine to understand and “speak” (generate) the human language. 

data science, machine learning, NLP | June 18, 2018 | Megan Fang

WTF is Operationalization (O16n)?

Once a data science project has progressed through the stages of data cleaning and preparation, analysis and experimentation, modeling, testing, and evaluation, it reaches a critical point. One...

business, collaboration, operationalization | June 14, 2018 | Alan Byrne

Our 2018 FIFA World Cup Bet: Train It Like Beckham

The 2018 FIFA World Cup starts tomorrow, and we decided to use Dataiku to predict not only who will win overall but also how far France, England, and Germany will go (we tried to include Italy too...

data science, machine learning, predictive analytics | June 13, 2018 | Pierre Le Jeune

Sushi, Grand Greyhounds, & Data Stars: EGG UK 2018 Awaits

Since the Dataiku UK office opened, we’ve attended countless events of all kinds everywhere in London. We’ve had more than our fair share of looooong trips to the Excel Center, the O2, or to dark...

Corporate, Events, egg | June 12, 2018 | Romain Doutriaux

Dataiku comes with Visual AutoML (And You Didn’t Even Know About It!)

Inspired by the latest CDiscount tech post giving an overview of some MetaML solutions, we thought this would be the perfect time to also talk about MetaML. Because what could be more meta than to...

data science, machine learning, autoML | June 11, 2018 | Leo Dreyfus-Schmidt

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

Disease Outbreak Assistance with Data: NATO ACT Innovation Challenge

For many organizations, the most difficult part of a data project is not the collection of the data, but rather the ability to extract actionable insights in a scalable way and in a specific time...

data science, machine learning, defense | June 05, 2018 | Remi Meunier

Dataiku 4.3: Bringing Easy Model Operationalization to the Enterprise

Large enterprises today who are working to scale up their efforts in data science and machine learning to move closer toward the path of enterprise artificial intelligence (AI) generally hit one...

Product, Corporate, announcement, release | June 04, 2018 | Lynn Heidmann
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