AI/ML

90 Days Around the World: AI, Business Travel, and What Companies Still Get Wrong

The original plan was never to do a world tour. It just slowly escalated from „one conference and a few customer meetings“ into Dubai, Portugal, Germany, Singapore, Japan, Hawaii, Los Angeles, London, Switzerland, and back to Dubai with enough flight segments to emotionally qualify as cabin crew. Looking back, the most interesting part was not […]

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AI, Power Consumption, and the Strange Things We Suddenly Consider Worth the Electricity

There is a strange contradiction in modern society that becomes harder to ignore the deeper artificial intelligence moves into everyday life. And no worries, this won’t become a ethical lecture about lifestyle. We became incredibly disciplined about visible consumption. People replace old lightbulbs with LEDs because saving a few watts matters. The Food gets sourced

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Understanding Randomness in LLMs: Why ChatGPT Often Picks 73, 42, or 79

Over the last few days, a small AI experiment has been circulating across LinkedIn and Reddit: open a completely fresh ChatGPT session, ask for a random number between 1 and 100, and observe what happens. Surprisingly often, the answer is 73. Sometimes it is 42. In English sessions, 79 also appears more often than true

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Why AI Compliance Fails Without Data Lineage, Auditability, and Reproducible Decisions

There is a pattern you start to recognize after a few AI projects. The demos work and the models look promising. The internal presentations create momentum., but somewhere between pilot and production, everything slows down or disappears somehow. Most people explain that gap with vague statements about „organizational readiness“ or „change management“. But in reality,

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