Does data-driven decision-making make you boring?

With all the focus on data and AI, it was simply a matter of time before the countermovement started. Reflecting on several discussions around this topic that I’ve had over the last year, the key theme seems to be that data and AI are predicting the future based on the past and as long as … Read moreDoes data-driven decision-making make you boring?

Exploiting your data well

Based on our research, we’ve developed a four-dimensional model for the digital transformation in the software-intensive embedded systems industry. In the last two posts, we explored the business model and product upgrade dimensions. This post is concerned with the data exploitation dimension. As shown in the figure, the first step in most companies is focused … Read moreExploiting your data well

Digital for real: business model

Over the last months (actually, more like years), we’ve studied the digital transformation of several companies in the Software Center. Professor Helena Holmström Olsson and I developed a model to illustrate how they actually transition from their legacy business rooted in atoms to a digital business based on bits (see the figure). It has four … Read moreDigital for real: business model

It’s not about data; it’s about actionable insights

This week, I had an interesting discussion about data with the CEO of one of the startups I work with. The challenge is that many companies are collecting vast amounts of data, storing it and then leaving it as an unused asset. It surprises me that so many companies are maintaining such amazingly large data … Read moreIt’s not about data; it’s about actionable insights

What’s with all the Ops?

DevOps, DataOps, MLOps – the number of different “Ops” combinations seems to have exploded over the last year or so. There are manifestos, meetups, lots of blog posts and research articles about these various approaches. In order to get clear on terminology, I think it’s good to define what we’re talking about. So, first, DevOps … Read moreWhat’s with all the Ops?

AI engineering part 2: data versioning and dependency management

In my last column, I presented our research agenda for AI engineering. This time, we’re going to focus on one of the topics on that agenda, ie data versioning and dependency management. Even though the big data era has been with us for over a decade now, many of the companies that we work with … Read moreAI engineering part 2: data versioning and dependency management

How to generate data for machine learning

In recent columns, I’ve been sharing my view on the quality of the data that many companies have in their data warehouses, lakes or swamps. In my experience, most of the data that companies have stored so carefully is useless and will never generate any value for the company. The data that actually is potentially … Read moreHow to generate data for machine learning