My experience is that many large companies have problems that could be solved/improved with small fine-tuned AI services, but usually they are extremely cagey a

My experience is that many large companies have problems that could be solved/improved with small fine-tuned AI services, but usually they are extremely cagey about disclosing which parts of their workflow are slow/expensive and would, therefore, be the best targets for automation and/or improvements coming from AI research. The cliche example here would be to automate processing of some paper forms. And it's cliche precisely because for most companies it would help them become faster and more competitive. How do you plan to research potential problems to solve? Would it be possible to publish and discuss those to-be-solved problems, so that hobbyists can also try their luck at solving them? Initially, I thought that Kaggle competitions would be a great way to get the industry's problems into the hands of motivated problem-solvers. But I don't think I've ever seen a large car manufacturer (for example) as Kaggle competition host. So it looks like something is holding companies back.