The AI-driven company: static ML

Interestingly, in the companies I work with, there’s still some hesitation to include machine learning models in products. This is especially the case when there’s some form of safety certification associated with the product; we don’t always know how to ensure that the ML models won’t jeopardize critical product characteristics. That said, we need to … Read more

The AI-driven company: the Kaizen AI generator

In this series, we’ve explored the journey toward the AI-driven company. First, we looked at the business process view and recently, we’ve focused on the R&D process. Here, we see an evolution from AI assistants to compensators, superchargers and finally system generators. Each stage represents a deeper integration of AI into how we design, build … Read more

The AI-driven company: AI compensators

Product development requires several different skill sets. When focusing on the software part of a product, we can recognize the problem domain, technology, infrastructure and people as four main areas of competence. For a team to be effective, it needs to understand the problem or application domain so that it can realize new functions or … Read more

The AI-driven company: super-agents

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

The AI-driven company: local AI-first

In the first two steps of our maturity model, we’ve discussed the individual use of AI and the AI-driven automation of individual process steps. It’s in the third step, which we’ve dubbed “local AI-first,” where things become more disruptive. Here, rather than applying AI as a bolt-on automation tool, we adopt a zero-based design approach, … Read more