AI
Muda in AI: 7 Types of Waste When Working with Artificial Intelligence
Some time ago, I wrote about the 7 types of waste in software development. Lean and its concept of Muda originated at Toyota for industrial manufacturing, yet mapping these categories onto software development still works surprisingly well. And now, as companies are learning to work with AI, from ChatGPT in everyone’s pocket to enterprise implementations […]
AI as a Heating Repairman: Why AI Adoption Success Doesn’t Depend on the Size of Your Implementation
The biggest value of AI in your company doesn’t come from complex implementations. It comes from the moment someone remembers to use it and has the courage to experiment. A few days ago, I had this confirmed at home. The story I’m about to tell you reminded me of something fundamental about how companies should […]
5 structural changes in agile teams in the AI era that give you a competitive edge
Agile teams are often created to respond more flexibly to market changes. Their advantages are undeniable if they are implemented correctly. But let’s be honest: in many large companies, setting up agility correctly is no easy task: People are reluctant to change, and no wonder—they have spent years gathering experience, and agile approaches change many […]