NLP-infused processes are the new reality in language services. Machine translation (MT) has been broadly adopted but it is only the tip of the iceberg. Even within MT-driven linguistic processes the ways we use NLP are evolving – i.e. quality estimation, predictive analysis, etc. Expand your understanding of how NLP (natural language processing) can be deployed along side MT, AI data creation and annotation services, targeted LQA content selection, sensitive content detection and other applications of perpetually evolving NLP technology. And how do these new levels of linguistic automation change the ethics, employment and competitive landscapes for language service professionals?