Jan Bosch
Humans are the first and only species that possess reasoning capabilities beyond the most basic ones that are exhibited by other mammals. We build amazing infrastructures, put people on the moon, can talk to anyone on the planet at any point in time using phones and create advanced medication and procedures to treat people who … Read more
When interviewing the people for our study on industrial AI adoption, it became clear that some or even many especially view LLMs and multi-model models as a mechanism to leapfrog inherent weaknesses in their company. One of the key areas is data. I keep getting surprised by how poorly many companies deal with their data. … Read more
Both the proponents and questioning antagonists around artificial intelligence are expounding on the outrageous capabilities of modern AI solutions such as LLMs, foundation models and agentic AI. And yet, when interviewing key business leaders and observing the companies I work with, I must say that the adoption of AI is slow going and far from … Read more
With new breakthrough models being announced all the time and hundreds of billions invested, the hype around artificial intelligence seems to keep going much longer than any other major technology I’ve experienced in my lifetime. The promise (and to some extent the threat) of AI is that it will provide new levels of automation and … Read more
Have you ever wondered why car companies don’t run A/B experiments with their customers’ vehicles to improve the fuel efficiency of the engines? It would be perfectly feasible to build engine control software that would, safely, allow for experimentation with a wide variety of parameters to evaluate what settings, in what context and for what … Read more
There’s a scenario that keeps repeating itself in our collaborations with a variety of companies. We come in and agree to work on a specific data-driven use case. The company claims to have vast amounts of data and nobody in the company worries about not having the data available. That is, until they start looking … Read more
One of the worst misconceptions in software engineering is the assumption that if we build software based on a requirement specification, test it according to the spec and deliver it to our customers, we’ve delivered value to these customers. This may be the case when a small team of consultants develops software for a single, … Read more
In this series, we have, time and again, stressed the importance of using data. We presented a variety of arguments to justify our focus on data, but they all center around the notion that, as humans, we’re highly able to create stories to explain why things are happening that, when more carefully inspected, turn out … Read more
Normally I try to be very careful with predictions. As Yogi Berra so eloquently said, prediction is hard; especially about the future. When looking at the folks predicting the stock market, the data shows that their accuracy is about as good as random, or even worse. For example, at the end of 2022, many predicted … Read more
One of the typical patterns I experience a lot when working with companies on digitalization is the claim that they have all the data in the world. They can just pick what they want from the candy store to get the data-driven insights they’re looking for. When inspecting the data in detail, it rapidly becomes … Read more
