All Blog Posts
When it comes to machine learning (ML) and artificial intelligence (AI) opportunity, many people immediately think of sleek Silicon Valley companies inventing the latest gadgets that will,...
Across industries, technologies, and use cases worldwide, there is perhaps no other data science strategy more important to understand and to leverage than anomaly detection. While useful across...
Undoubtedly, 2017 has been yet another hype year for data science, particularly ML and AI. And while the associated technological and organizational evolutions are happening across the globe, they...
Automated Machine Learning (AML) is a concept that’s resonated with many data scientists. Essentially, it means taking as many of the tedious, repetitive tasks associated with data projects (such...
The Internet of Things (IoT) is infiltrating the world of defense and security at an astounding pace, so the amount of data available to intelligence and security agencies is, unsurprisingly,...
As we launch into the holiday season, publications - Forbes, Business Insider, The Washington Post, just to name a few- are rife with claims that Black Friday is dead. While this claim is...
Dataiku 4.1, our brand new release, is a leap forward in our mission to bring the power of data science and machine learning at scale to people and organizations everywhere. Already, some Dataiku...
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...
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,...
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...
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...
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...
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 ...
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...
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...
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...
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....
