Bruggen Blog

A few weeks ago, I had this feeling I just couldn't shake.

A couple of weeks ago, I was sitting at the kitchen table, scrolling through the news on my phone before the day really got started.

Why enterprises need to reimagine what’s possible If you talk to enterprise leaders about artificial intelligence today, a familiar pattern emerges.

Why your AI project is actually failing–and how to fix the foundation You’ve probably seen the headline by now: “95% of generative AI pilots fail to deliver measurable ROI.”

In today's every changing and evolving business landscape, enterprises face a critical decision when it comes to implementing AI-native CX solutions: should they build custom solutions from scratch, or buy existing platforms?

New, innovative products like DevRev are fascinating.

Real-time applications of Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries, from finance to entertainment.

Working at Hopsworks has been a great experience for many reasons, but one of the main attractions for me personally has been and still is the proximity that it offers me to some of the most exciting IT developments in our lifetime: the rise of Artificial…

Here's something I want to share.

Today, November 6th 2024, it’s been a full year (!)

I have written before about some of the important paradoxical tendencies in the Machine Learning (ML) and Intelligence (AI) industries.

In the first and second part of this article series, we explored the paradox that organizations face when considering the adoption of AI systems.

In case you missed it: please find part 1 of this article series over here.

At Hopsworks, we have been developing awesome technologies that make it possible to develop powerful #AI systems efficiently and effectively, in a way that also safeguards the potentially privacy-sensitive data that we expose to it.

Why you need a feature store, why you should buy (not build) one, and why you should consider Hopsworks Start with 3 Why’s Quite a few years ago, I read a really intriguing book by Simon Sinek: Start with Why.

I wanted to write a short article to share with you some of my thoughts on why I joined Hopsworks and what my and our plans are for the next couple of months and years - aside from utter world domination, of course :) … Here goes. 2023 has been an interes…

This may become a little bit of a weird, “metah” article.

How data technologies and software development have evolved in parallel and synergistic ways When I think about both the data industry and the software development industry, and try to take stock of the evolution that we have gone through in them in the p…

9 days into May, and I feel like I have a bit of an "announcement" to share that has been a few months in the making.

Recently, my colleague Pascal Desmarets wrote a fantastic article about “Domain Driven Data Modeling”.

At Hackolade, I have been really enjoying my journey into the world of data modeling.

In a previous article, I have already alluded to the fact that I think that the confusion around the three words (model, schema, and metadata) is really important to clarify and get straight for our industry.

In a previous article that I published on this platform, I talked about the confusion that I observed in my first couple of weeks in the industry, between some very important and meaningful terms: model, schema and metadata.

For a few weeks now, I have been helping out my friends at Hackolade with some really interesting work around their core product, the Hackolade Studio and how to make it even more successful in the marketplace.