The Dataiku Blog

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

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

Data Prep Building Blocks Without Code [Videos]

"Self-service analytics" has always been a questionable ideal -- of course you want to enable analysts and non-technical users to work with data on their own, but you still want their work to...

Product, Data Preparation, video | May 30, 2018 | Robert Kelley

Why Banks Have an Extra Challenge When it Comes to GDPR

 In a year of new regulations, banks are faced with the double-challenge of implementing two policies that seem to run opposite one another: GDPR and PDS2. Why is it happening, and how should...

business, banking, gdpr | May 29, 2018 | Robert Jett

What's With All the Privacy Policy Emails?

You have GDPR to thank for the recent assault on your inbox.

compliance, data governance, gdpr | May 25, 2018 | Alivia Smith

How To Build a Basic Website Based on Real-Time Predictions

I recently launched my latest little side project called Human or Company: a web page where anyone can enter a Twitter username and instantly determine whether that username belongs to a person or...

data science, predictive analytics, real-time | May 23, 2018 | Jeremy Greze

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

Telecos Have Tons of Data ... but Not Tons of Data Value

Data analysis is already a big part of the telecommunications industry, and yet still, experts estimate that most companies have not yet seriously leveraged the data at their disposal to increase...

data science, ai, telecommunications | May 09, 2018 | Lynn Heidmann

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

The Key to Getting Value from IoT? Organizational Change.

Thus far, most of the buzz surrounding the Internet of Things (IoT) movement has been one of niche (and often kooky) smart products. At least in the media, the industrial side - being used in...

data science, machine learning, iot | May 04, 2018 | Lynn Heidmann

3 Ways to Speed up Data Prep

Dataiku is known primarily as a machine learning and data science platform, but its user-friendly approach to data preparation makes it a great tool for users who need to analyze datasets that are

Product, Data Preparation, video | May 02, 2018 | Robert Kelley

Embarking The Data Crew For The Enterprise: Insights from Ubisoft at the EGG Conference

Building a data team that can efficiently and effectively deliver projects isn't easy, and it takes having not only the right technologies, but most importantly, the right people and processes. No...

organization, data science, scale | April 26, 2018 | Pauline Brown

ML & AI in the Pharmaceutical Industry: Where the Biggest Gains Lie

After a century of rapid progress in the development of new medications, the discovery of new drugs has slowed significantly, and the process of developing new pharmaceuticals has become more and...

data science, machine learning, pharmaceutical | April 25, 2018 | Lynn Heidmann
Page 2 of 19