Navigating Data Chaos with Dataiku

by:
last updated:
dataiku conference 2023

Navigating Data Chaos with Dataiku

by:
last updated:

Visting with Dataiku in NY.

This week, I had the pleasure of traveling to NY to visit with Dataiku at their annual conference in Tribeca. I only mention the specific location as it made such a refreshing change from hotel conference suites, but more importantly, it was an excellent and well-attended conference. But why was I there at all, I hear you ask. Dataiku indeed swims pretty wide of Deep Analysis waters.  Well, that would have been true just a few years ago, but the swift elevation of AI to the top table changes things considerably. Indeed, so many things are changing that for more ‘seasoned’ analysts such as me, it’s hard to suppress the cry of Dotcom 2.0!

For those unfamiliar with Dataiku, they are worth checking out for a few reasons. For one, they are one of the few European (Paris-founded) tech firms to break into the big time over the past decade. With a current market value of around $4B and seemingly on track for an IPO, they compete and frequently appear alongside Databricks and DataRobot. But more interesting than that is their journey over the past decade, as though they were always heading along a good and steady path; the boom of interest in AI has landed them a once-in-a-lifetime opportunity. This brings us to what Dataiku does and why we were interested in learning more.

Never does a week go by at Deep Analysis without a vendor telling us in a briefing that their product/solution will resolve all an enterprise’s data challenges and sort out and make sense of the data chaos. If only such a product existed, the world would be much better. Similarly, not a week goes by without us explaining how incredibly complex, sprawling, ever-evolving, and unmanageable most enterprise data and application environments are. But though no product can magically resolve that situation, platforms such as Dataiku can make them much more navigable and manageable than they otherwise might be.

At first glance, Dataiku provides a unified portal for data scientists, and its roots in analytics and big data indeed show through. But a closer look reveals more of a jet plane instrument console. In other words, everything the data scientist, IT teams, and, to some extent, the broader business needs all in one (relatively) easy-to-use place. I use the term relatively as this, just as other similar products are for the skilled professional to leverage. And that is fine, as though there is a lot of excellent low/no code on display here, we should never get too carried away with the idea of citizen developers when it comes to digging into corporate data, building AI models, and deploying them in the field. 

Back to the once-in-a-lifetime opportunity, pivoting elegantly from the world of big data to AI is not as easy as it sounds, and credit where it’s due. Dataiku has made the pivot with exceptional grace. So, long story short, if you are a larger organization with a lot of data and ambition to build, govern, and leverage AI models, this is one of the first places you should look. Particularly if you plan a collaborative approach to your work, balancing the insights and needs of the business, IT, and AI enthusiasts.

Unfortunately, I could not spend much time in NY, and the next few weeks will be tricky balancing acts with a whole raft of conferences to attend. But for what it is worth, it is refreshing to see a technology vendor embracing the chaos and offering a practical and eminently usable platform to get started on the work ahead. Because when it all boils down, this is not the peak of the AI revolution; it’s barely even the start for most. The hype may be currently out of control, but the hard work for enterprises is yet to begin.

Leave a Comment

We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.

Work Intelligence Market Analysis 2024-2029