The Dataiku Blog

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

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

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

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

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

The Story Of Recommendations At Kickstarter: Hear the Talk from EGG2017

Today, recommendation engines are a critical component to commerce and entertainment industries (and more). If you're looking to build your own, learn from the best - watch Jeremy Salfen, Director...

organization, data science, scale | April 17, 2018 | Pauline Brown

Marketing Attribution - There's a Better Way!

Bad news: if you’re relying on heuristic marketing attribution models to measure the effectiveness of your campaigns (which many people do), they probably are not very accurate. This is assuming...

marketing, data science, marketing attribution | April 12, 2018 | Lynn Heidmann

Content Analytics at Spotify: Hear the Talk from EGG2017

Content data and analytics in the context of music, media, and entertainment is driving a new wave of strategic thinking, shifting the focus from the product to the content delivered. Watch Daniel...

organization, data science, scale | April 11, 2018 | Lynn Heidmann

How to Hire Great Data Scientists (They’re Not Mythical Creatures Anymore!)

Today is International Unicorn Day, and we’re joining Pivigo in their campaign to show the breadth, diversity, and power of data scientists and the data science network. Because they’re ...

organization, data science, hiring | April 09, 2018 | Romain Doutriaux

EGG Guest Speaker Andrea Gallego, Principal & CTO at BCG Gamma, on Driving Change with Analytics at Scale

When it comes to creating a data-driven enterprise, it isn't only about choosing the right technology. Take it from Andrea Gallego, Principal & CTO at BCG Gamma, who explains how to successfully...

organization, data science, scale | April 05, 2018 | Pauline Brown

Goldman Sachs Data-First Approach: Mayur Thakur, EGG Guest Speaker

Building a comprehensive surveillance platform requires scalability, business understanding, and smart algorithms that work on large amounts of text, graph (social networks), and time-series data....

organization, data science, scale | March 28, 2018 | Pauline Brown

Scaling Data Science at Pfizer: Chris Kakkanatt, EGG Guest Speaker

One of the biggest challenges large enterprises face today is how to scale data science efforts such that the business actually gets an exponential amount of value from the exponential quantity of...

organization, data science, scale | March 20, 2018 | Lynn Heidmann
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