Why you should not align

This week, I met with some companies in the embedded systems space that are looking to start A/B experimentation in their products. These products have safety-critical functions and subsystems and of course, it’s difficult to even imagine A/B tests that aren’t, in some way, touching safety-critical functionality. The proponents of experimentation at these companies outlined … Read more

Beyond Agile

Some decades after the term “Agile” was introduced in software development, one would expect that – assuming it was a good idea (which it is) – the concept should have been fully embedded in industry and we’re busy with other things. Still, and this never fails to surprise me, everyone is talking about “beyond Agile.” … Read more

Planning for business agility

During the summer, I reflected on the main differences between software engineering in the 1990s, when I became a professor, and today. The best way to describe what I feel is the key difference is perhaps through an analogy. In the 90s and early 2000s, software engineering was akin to designing and building a jet … Read more

Why your company works as it does

During my vacation, one of the questions I spent time thinking about is why companies function as they do. And why companies that are digitally born operate and “feel” different from traditional ones. Why companies that were different from the beginning tend to fall back into traditional patterns and become like traditional ones. I realized … Read more

The AI of digitalization

This article is the last of four where I explore different dimensions of digital transformation. Earlier, I discussed business models, product upgrades and data exploitation. The fourth dimension is concerned with artificial intelligence. Similar to the other dimensions, our research showed that there’s a clear evolution path that companies go through as they transition from … Read more

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 more

Better all the time

In last week’s post, I mentioned our framework describing the transformation that companies go through when going digital. I also discussed one of its four dimensions – the business model dimension. In this post, the focus is on the product upgrade dimension. As shown in the figure, we’ve identified five steps or phases in the … Read more

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 more

Why you’re not deploying AI

Imagine the following scenario. A (sizable) team at a large company writes customer documents in response to customer requests. They request help from the automation team to reduce their repetitive tasks. The automation team brings in an AI company, which develops an ML model that generates the customer documents automatically and virtually eliminates the need … Read more