Secondly, AI needs good data to do its job correctly. Therefore, if the information it is based on is incomplete or biased, conclusions might be off, and, in some places, getting reliable data about cattle can be difficult. Also, AI often relies on old data, which means it may not notice some sudden changes or news trends in the cattle industry.
Thirdly, the cattle
industry is very complex because it is usually influenced by many factors, such
as how many cattle there are, weather conditions, government regulations, and
consumer preferences. AI can struggle to handle all these different things all at
once.
Fourth, the cattle industry varies significantly across regions and cultures, affecting market dynamics, regulations, and practices. AI might not fully grasp these nuances without specific training on data from those contexts, potentially overlooking critical regional insights.
Overall, humans should always double-check AI before they make their final decisions.
