Entrepreneur lesson #2: Build it and they’ll come is setting yourself up to fail

Entrepreneurs are, by definition, irrational optimists who have strong confidence in what they’re pursuing. Even if all of us can have bouts of doubt, entrepreneurs are managing these doubts and focus on executing on their convictions. The risk, however, is that you start to believe in your own convictions so hard that you fail to … Read more

10 intra/entrepreneur lessons I learned the hard way

Over thirty years ago, I started my first company. Since then, I’ve started more companies, acted as an angel investor in more than ten ventures and as a board member or advisor in several others, and interacted with numerous founders and entrepreneurs. In addition, I’ve collaborated with intrapreneurs inside large organizations trying to get innovations … Read more

Outdated belief #9: We can’t do DevOps because we need safety certification

Embedded systems, by their definition, contain mechanical and electronic components and, through that, interact with the real world. Many of these systems may cause harm to humans if they act in erroneous ways. This is, of course, the case for aeronautical and automotive applications as well as for medical equipment. But also most systems that … Read more

Outdated belief #7: Post-deployment is relevant only for (serious) quality issues

A few decades ago, the first reports were published on software errors resulting in financial losses exceeding 1 billion euros. Since then, many more accounts of software errors costing hundreds of millions or more have been in the news. The response in the larger community was twofold. First, test the heck out of every piece … Read more

Outdated belief #6: The data is owned by the customer and we can’t monetize it

Digitalization is concerned with the three key enabling digital technologies software, data and artificial intelligence. These build on each other as it typically is software that generates the data from systems in the field and it’s this data (preferably labeled) that forms the basis for machine learning and deep learning. The software-intensive systems industry, as … Read more