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
In last week’s blog post, I discussed the first step in adopting data-driven development (see figure below), i.e. modeling feature value in quantitative terms. Once we have described the value that we expect from a feature, the next step is to ensure that we can indeed measure and collect the necessary data in order to … Read moreData-Driven Development: Step 2 – Build Data Collection and Analysis Infrastructure
In my research and consulting engagements with companies, one of the recurring themes is the ambition of companies to become more data-driven in their way of working. After working on this topic with a variety of companies, my fellow researchers and I defined an adoption process that companies go through when adopting data-driven development practices. … Read moreData-Driven Development: Step 1 – Model Feature Value
This week I spent time in Denmark at a summit organized by the Manufacturing Academy of Denmark (MADE). During the summit I met several people that expressed pride at the richness of their product portfolio. Some companies have a dozen different products, others may have close a hundred products. All these products are complicated including … Read moreFrom Dozens to Thousands (or Millions) of Products
Photo by Kristopher Roller on Unsplash During a recent conversation with a journalist, the downsides of agile came up in the interview. The questions were centered around stress levels of team members, the frustration with not being able to do a proper design before building features, the perceived reduction in innovation and other factors. During … Read moreDoes Agile Kill Innovation?
(image credit: pixabay) This week was about travel and keynote presentations. Although the traveling can be a bit of a drag, I love meeting people and hear them sell their stories after they have listened to my talk. The interesting thing is to hear that many people talk about the product that they are contributing … Read moreNobody Cares About Your Product
A few weeks ago, I posted a blog post with the same title as this post. This week, we hosted the International Conference on Software Engineering in Gothenburg. It was a great event with 1800 participants. As part of the conference, the Wednesday was allocated to an Industry Forum and as part of that, I … Read moreWhy Digitalization Will Kill Your (Software) Company Too: Video
Another week; another ridiculous amount of hours on an airplane, so this post is coming from Bangalore. During last week, I noticed an interesting pattern that I had seen several times over the last year: many companies and their leaders are not clear on what business they’re actually in, especially as it comes to being … Read moreAre You a Product, Platform or Ecosystem Company?
With artificial intelligence, machine learning and deep learning on the top of Gartner’s hype cycle, it is easy to assume that computers will program themselves going forward and that we’ve reached the end of software engineering as a discipline. Although one might naively think that we can just feed a lot of data into a … Read moreWill Computers Program Themselves?