The Dataiku Blog

6 Ways Advanced Analytics Will Change Media & Entertainment

Media and entertainment companies are facing increasingly competitive and uncertain markets - consumers have more ways than ever to get their content, driving the need to operate in smarter, more...

business, machine learning, media | November 07, 2017 | Dan Harris

Future Data Analyst Role #3: The Data & Analytics Product Owner

We've already done two previous posts on the Analyst of the Future where we presented to you the Data Connector and the Data Modeler, two essential roles on tomorrow's analytics teams. Today,...

organization, machine learning, Data analysis | October 30, 2017 | Robert Kelley

Small Step for Piccadilly Circus, Giant Leap for AI and Advertising

Today, Piccadilly Circus in London is alight once again, now equipped with so-called “super billboards,” bringing the advances of machine learning (ML) and artificial intelligence (AI) in...

business, machine learning, media | October 26, 2017 | Lynn Heidmann

What It's Like to Get Started in Data Science

We attended the National Learn to Code Day in Toronto this year, and in addition to helping out with the event, we had a chance to talk with three participants and an instructor about what it’s...

data science, Events, machine learning | October 19, 2017 | Lisa Bardet

Future Data Analyst Role #2: The Data Modeler

In a previous post, we introduced the role of the Data Connector, a future analyst role that is focused on connecting to data, preparing that data, and making sure that insights are delivered as...

organization, machine learning, Data analysis | October 12, 2017 | Robert Kelley

Behind the Scenes at National Learn to Code Day

On Saturday, September 23rd, we took a trip to Toronto to join 1,500 data enthusiasts as they took their first journey into the world of data science. It was the fifth annual edition of the ...

Data Science Basics, Academic, Events, machine learning | October 02, 2017 | Lisa Bardet

Future Data Analyst Role #1: The Data Explorer

What does the future look like for data and business analysts? From our perspective, it's exceedingly bright, because if you're an analyst today, you're in a better position than anyone else to...

organization, machine learning, Data analysis | September 28, 2017 | Robert Kelley

Some Recommendations on Recommendation Engines

Today, recommendation engines are ubiquitous. While some are easy to spot, featured in a nice neat “Recommended for You” section, so many more lurk behind the scenes. In fact, it’s entirely likely...

data science, machine learning, recommendation systems | September 18, 2017 | Lynn Heidmann

Predict Your Most Profitable Customers with Dataiku

Imagine: you have a global e-commerce company selling and shipping products all around the world. You would love to be able to predict which customers will bring the most value to your business so...

Product, machine learning, predictive analytics | August 30, 2017 | Robert Kelley

Watch a Clustering Algorithm Work in the Wild

Previously, we’ve discussed regression and classification algorithms, and now that you're an expert in these types of supervised learning, it's time to delve into unsupervised learning....

Data Science Basics, machine learning, clustering | August 16, 2017 | Robert Kelley

Want a Robust Model? Try These Validation Strategies [Infographic]

When evaluating machine learning models, the validation step helps you find the best parameters for your model while also preventing it from becoming overfitted. Two of the most popular strategies...

Data Science Basics, machine learning, Data analysis | July 12, 2017 | Robert Kelley

To Predictive Maintenance and Beyond with Second-Order Analytics

With many types of predictive analytics strategies, just making a prediction often isn’t enough (or it isn’t the end goal); value really comes in the decisions that follow that prediction. But...

data science, machine learning, second-order analytics | July 06, 2017 | Lynn Heidmann

How to Figure Out if Your Model Sucks

We’ve spoken before about basic concepts in data science and machine learning algorithms, and so by this point, you might have already created a machine learning model. But now the question is:...

Data Science Basics, machine learning, Infographic | June 15, 2017 | Robert Kelley

Guest Post: Predicting Connections to ISIS Based on Tweet Content

One very important use case for predictive analytics and machine learning is security, both in the virtual and in the physical sense. Every day, organizations across the world are analyzing...

data science, machine learning, predictive analytics | March 30, 2017 | Lynn Heidmann

An Introduction to Key Data Science Concepts

Here at Dataiku, we frequently stress the importance of collaboration in building a successful data team. In short, successful data science and analytics are just as much about creativity as they...

Data Science Basics, machine learning, Infographic | March 09, 2017 | Robert Kelley

Predict (and Prevent) Customer Churn

It’s pretty simple: churn happens when your customers are customers no longer. For any business (even those gaining customers quickly), this can be a devastating problem; but fortunately...

data science, machine learning, churn | March 01, 2017 | Lynn Heidmann

Mapping Predicted and Real Rates of Crime in Greater London

Using ESRI and Dataiku Data Science Studio (DSS), here’s how to create an interactive map with Web AppBuilde for ArcGIS that will reveal the different levels of predicted and real crimes in...

data science, machine learning, Data analysis | February 13, 2017 | Nicolas Gakrelidz
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