Do you work above or below the API? Recently, I was introduced to the concept by a newsletter of Mark Manson where he talked about people being left behind because they get stuck in a rut and fail to reinvent themselves. The idea is that when you work below the API, you’re basically working for … Read moreRule 4: Automate repetitive tasks
It seems that much of my work these days is concerned with bringing AI to the embedded-systems domain, understanding what the implications are and how companies should deal with it. In the discussions with technical experts and business leaders, however, I constantly run into several misconceptions. First, there are still several people out there who … Read moreBringing AI to the edge
This week, I attended the International Conference on Software Business (ICSOB 2020) and gave a presentation on autonomously improving systems. The core idea is that software-intensive systems can measure their performance, know what to optimize for and can autonomously experiment with their own behavior. The history of software-intensive systems can be divided into three main … Read moreTowards autonomously improving systems
During the last year, I’ve been in several discussions that, to a large extent, boiled down to “why is this product so stupid?”. The stupidity was defined by the lack of the system to anticipate user actions, the inability to learn to function better in a specific context or the total reliance on the user … Read moreWhy are there so many stupid products?
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?
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 moreThe AI of digitalization
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
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 moreWhy you’re not deploying AI
Digitalization is fundamentally enabled by three core technologies: software, data and artificial intelligence. The common denominator, which is inherent in a digitalized business, is that automation is at the heart of it. Digital technologies allow for automation to a much more significant extent than traditional technologies. We see this reflected in companies: whereas in traditional … Read moreDigital business: automated at heart
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?