AI startup turns on real-time deep learning system for enterprises

“An application of the technology could be something such as a recommender service. Rather than retrieving a static set of recommendations that have been compiled for a given user, the system can ingest in a window of time, perhaps every two hours, the individual items the user has recently “liked,” and process those to come up with new recommendations.”

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