DairyTalk 441: PDFs and closed systems are slowing down AI progress in cattle breeding - by Helmut Demmelhuber

This podcast episode draws on expert articles discussing the
growing role of artificial intelligence in cattle breeding and
examines where the real limitations currently lie. While AI tools
are already capable of supporting mating strategies, inbreeding
analysis, and complex breeding decisions, progress is often
blocked by fragmented databases and poorly structured
information. The discussion highlights why data accessibility and
machine-readable formats are becoming more critical than raw
computing power itself. At the same time, the episode makes clear
that AI only creates value when breeding goals and expert logic
are precisely defined. As a result, the industry focus is
gradually shifting from pure herd management toward strategic
control of digital data systems.