All Blog Posts
Even though machine learning (ML) has been around for decades, it seems that in the last year, much of the news (notably in mainstream media) surrounding it has turned to interpretability -...
Astronomy’s approach to data has drastically changed over the past two decades. From improved data collection methods to ML-based analytics, astronomers have more access to data than ever before.
In early November, Dataiku CEO Florian Douetteau was a guest on BrightTALK’s Ask the Expert series, discussing The Future of Artificial Intelligence, including where exactly we are now and what’s...
Machine learning can effectively be leveraged to support NGOs, but it often requires sponsorship and organizational support to generate the resources needed for such data explorations. The...
By now, the race to AI - and especially to using AI in the enterprise - is officially on. But if AutoML is not in your toolbox or if you’re not at least thinking about aligning the data...
Customer success at Dataiku is about companies achieving positive business outcomes through their engagement and interaction with our product, and the customer success team does this by...
Scikit-learn is one of the most popular data science tools in the world, and we wanted to learn more about how it's made. We spoke with Olivier Grisel, a full-time open source developer and one...
We’re really excited about our upcoming EGG Paris and EGG NYC conferences next week. There will be data science experts running demos, talks and use cases from industry leaders, and lots of...
Open source has always been a part of the data science landscape (as we explored here in 2015 and here in 2017). And while every tool in Technoslavia has some free offerings, we’re taking this...
Artificial Intelligence (AI) offers organizations immense power, from predictions to recommendations to smarter decision making - but organizational resistance to this shift is a huge problem....
As declared in Forbes just last month, businesses are starting to really wake up to the promise of what we call Enterprise AI. But what does that mean for the average non-coding analyst?
Learning a new language can seem like an insurmountable challenge - however, approaching the problem with data science and using a few smart techniques can ease the learning curve and provide a...
It’s everyone’s favorite time of year - and you have your costume all planned (though if you don’t, here are a few ideas), and are looking forward to you’ve your night out or night in (Hocus Pocus...
We all know that open source is critical to data science, but we wanted to learn more about the process of creating these tools and the motivation driving the impressive people building them. Most...
The Dataiku Data Science Roadshow wrapped up its 12-country tour last week, and while they say all good things must come to an end, we’re happy to say that we still have more on the docket to...
Data scientist churn is a big problem, and it’s not getting resolved through cushy perks and office snacks. Often the role can be repetitive and frustrating, and since data scientists are so...
