Interviews - Page 4 of 12

Language models are widely capable of answering health-related questions — a topic that the media have covered extensively. These are truly remarkable advancements. However, the process of implementing them into real life rarely draws the same attention; it is accompanied by tedious paperwork and annoying safety issues.

AI models for healthcare are proliferating, but most never leave the labs. Real-world deployment is far more complicated than any multiple-choice graduate exam – hospitals use different systems, data formats, and security protocols that resist standardization. Kaapana, an open-source platform developed at the German Cancer Research Center, addresses translation barriers by providing standardized infrastructure for medical AI research.

Inflation, exchange rates, sanctions, market panics—we dream of “calculating” all this in the era of big data. But in the case of any major economic crisis, the chain of human reactions (how officials, businesses, and consumers behave) is so unique and sometimes illogical that it breaks any model. In this interview, we’ll break down what AI can already do in economics and where it still “stumbles” over real life.