[ci5er]

Anything that is manual, tedious and error-prone. Or requires quick reaction time.

A "silly" example might be clinical diagnostic decision support. Instead of charts with history, lab results and meds to visually wade through and diagnose, there could be a simple UI. "Simple" means simply that instead of potentially 1000 fields that might be read or selectively updated, there would be 5 pre-selected by the computer. This could then go from medical unstructured "narrative" to automated ICD-10 coding. There would be lots of NLP, semantic analysis of large corpii, formal ontologies and RDF-encoded KB tangles to work though.

> Computer vision on stock charts to apply technical analysis trading system?

Why would you use computer vision? Just get a DVD full of the intra-day tick data for the instruments of interest going back 20-or-so years and find correlations.

And, I'm sure you know this, but a reader wandering through here may not: many of the kaggle competitions can be solved with ML techniques and many-or-most of the solution types would be valuable to the market or to large (hopefully funded) research problems. https://www.kaggle.com/