The Dataiku Blog

With some industry experts naming 2019 as the year of increased data regulation, it’s certainly true that at this point, there is no looking back - the use of data across roles and industry will...

For the financial services industry (as well as many others that deal with data security and other types of non-monetary fraud), anomaly detection is hands down the most important system in...

The effects of the European Union’s General Data Protection Regulation (GDPR) swept across the globe last year as the enforcement deadline came and went in May 2018. But GDPR is really just the...

Let’s face it - almost no business today can afford to hire the amount of data scientists it would take to go from producing one machine learning model to 1,000 (or for that matter, 1 million)...

Every business has a different path to Enterprise AI that’s necessarily affected by its industry, history, infrastructure, competitive environment, clientele, and more. That means that from region...

Whether you realized it or not, Data Privacy Day 2019 (yes, it exists!) has already come and gone. But this year, it was perhaps more significant than most not only because topics of bias,...

Closely following December’s Series C funding announcement, we’re pleased to share that Dataiku has been named a Challenger in the Gartner 2019 Magic Quadrant for Data Science and Machine Learning...

In 2018, the world saw the rise of automated machine learning, deep learning, and - best of all - real-life applications of these technologies, all of which have started to pave the path to...

According to a 2018 study by MemSQL, more than 60 percent of marketers say artificial intelligence (AI) is the most important aspect of their data strategy. But naming AI as a key strategy and...

Now that every company out there is doing artificial intelligence (AI) - or at least claims to be - it’s becoming more and more clear that it’s way too easy to fall into a few simple traps that...

Earlier this month, Forbes cited the key to getting value from data science as teamwork. That means in the coming year, with an increased focus on collaboration, lines of business will likely have...

You know how the song goes - he’s making a list, he’s checking it twice. But if you ask us, all Santa Claus should really be doing come December is doing some light maintenance on his machine...

Democratizing data science is something Dataiku - both as a company and a product - has been working toward since its founding in 2013. So it’s with great pleasure that we announce today the...

By now it’s clear that businesses that execute on artificial intelligence (AI) successfully are the ones that will move from doing one-off analysis, and even one-off models, to being able to...

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 -...

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...

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...

Often when companies get started with data projects (especially when the initiatives come from the C-suite or from the top down), they bite off more than they can chew and end up with...

Many organizations with the hope of becoming more data-driven ask the question: self-service analytics, or data science operationalization - which will get me where I need to be? And the answer...

On the heels of the release of Dataiku 5.0, we’re delighted to share yet another exciting development: Dataiku has been named a strong performer in The Forrester Wave™: Multimodal Predictive...