For all the human suffering and economic impact caused by corona, there’s one thing that has just surprised me over and over again these last weeks: companies and professionals just adjust and adjust quickly. Teams and departments that were stuck in old ways of working suddenly have found that it’s entirely possible to work in … Read moreDigitalization accelerated
With the vast majority of white-collar staff in companies currently working from home, the normal ways of managing people are disrupted quite fundamentally. Working closely with people in such a way that you can tell them what to do is much more difficult when you’re not physically in the same place. Similarly, many organizations rely … Read moreFocus on outcomes for cross-functional teams
One of the well-known struggles of every company I work with is to combine innovation with efficiency-oriented operations. This is the classic problem of ambidexterity: the company needs to deliver on today’s revenue and margins while securing its future. The problem is not that companies aren’t aware of the challenge but that they lack the … Read moreCombining innovation and operation
As part of the research in Software Center, I work with dozens of companies in the software-intensive embedded systems space on a variety of topics. One of these topics is the development of new products. Having worked with online companies, as well as startups, I’ve become indoctrinated with Steve Blank’s ideas and the “lean startup” … Read moreAre you building a minimal viable elephant?
This week, for the umpteenth time, I met a team in the process of putting a new product in the market, telling me that they were so customer centric. What they meant was that during development, they’d talked to a number of potential customers and some of the employees had used prototypes. For those that … Read moreSo, you’re customer centric?
The effects of digitalization and other technological shifts cause companies to realize they need to change. This often leads to significant discussions in the organization as there typically are several alternatives being considered by different people. These might include topics such as business models, product implications, partnerships with suppliers and technology providers. Agreeing on the … Read moreWhen you don’t know, run experiments
With data- and AI-driven development taking over the world, it may easily seem that the cloud is the place where everything happens. This is where the data is stored and analyzed, where the machine- and deep-learning models run and where all the value resides. The perspective of people living in this world is that all … Read moreLiving on the edge
Although everyone talks about digitalization (software, data and AI) and the risk of disruption that this brings to companies, very few talk about how companies get disrupted in practice. Most treat it as an amorphous force that topples companies over like a force of nature that is unavoidable and where we are the victims. Of … Read moreHow Digitalization Disrupts Companies
This week I got the opportunity to speak at the initiative seminar organized by the Chalmers AI Research center (CHAIR). The key message in my presentation was that working with artificial intelligence (AI) and specifically machine & deep learning (ML/DL) constitutes a major software engineering challenge that is severely underestimated by companies that start to … Read moreMachine & Deep Learning: Experimentation Stage
As I have been writing about adopting data-driven decision making in the broad sense and data-driven development more narrowly over the last weeks, several people have reached out to me, discussed with me and more generally explored the subject with me. During these engagements, I realized that many products and services exist for the sole … Read moreIt’s All About Your Digital Twin