Games and chat are always popular examples, but I think it's really valuable for data-science. You can also "fill in" missing data. If you were writing a websc

Games and chat are always popular examples, but I think it's really valuable for data-science. You can also "fill in" missing data. If you were writing a webscraper, you could make a service that looks for url objects without any content, and scrape them. Then make a service that looks for url objects with content but that is missing ML-filled in details, and have it fill those in. It's pretty good for disparate teams with different sets of technology. One group doing document classification, another trying NLP, another using RNNs, etc. There are a few times in my career where rethinkdb would have been a killer feature, especially with it's well-documented language bindings.