Jan Bosch
During a number of discussions the last weeks, the notion of outcomes and disappointment with outcomes was brought up. The tendency in these conversations is an endless exploration of the reasons the unsatisfactory outcome happened (or, occasionally, why the unexpectedly positive outcome happened). Quickly people start to disagree and provide arguments for alternative points of … Read more
Over the last weeks, I have been on the road a lot for various engagements with customers as well as for our research activities. In virtually every meeting, the whole area of artificial intelligence and especially machine and deep learning come up as a discussion topic. This is great as I think the whole AI/ML/DL … Read more
In the latest two articles, I outlined the two phases of adopting machine & deep learning (ML/DL). In the figure below, we show the steps that companies typically evolve through while adopting AI, ML and DL solutions. As shown in the figure, the third step, the subject of this article, is where ML/DL components are … Read more
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 more
In the posts from the last weeks, I discussed the first two steps in adopting data-driven development (see figure below), i.e. modeling feature value and building the necessary infrastructure. Once we have described the value that we expect from a feature and have constructed the infrastructure required to capture the data coming back from the … Read more
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 more
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 more
As the last post before my Christmas vacation, I thought to reflect with you on 2018. Despite all the apocaholics, the political turmoil in several countries in the Western hemisphere and the stock market tanking like it’s going out of style, I want to remind everyone that we are living in the best time in … Read more
As the year is coming to an end, I’ve been reflecting on my experiences from all the companies that I have worked with during the last 12 months. One reflection that I had was that many companies tend to be stuck in the past and that my role often is to make the people I … Read more
Recently, when interviewing (for our research) someone at a company in the food space, I learned something that I hadn’t realized: these days, cheese is a by-product. For thousands of years, farmers milked cows and then, as a way to preserve the milk, they made cheese out of it. And that cheese, or at least … Read more
