Use Cases Natural Language Processing (NLP)

Natural Language Processing (NLP)

Natural language processing is an important direction in the field of computer science and artificial intelligence. It studies various theories and methods that enable effective communication between humans and computers in natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable.

Natural Language Processing is the driving force behind the following common applications: Language translation applications, Word Processors, 
Interactive Voice Response (IVR) applications and Personal assistant applications.

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Driving Two Million Vehicles with Real-Time Data
Driving Two Million Vehicles with Real-Time Data
For ARI, customer service is key. Seven global customer contact centers handle about 4 million calls annually, and this sea of daily information needs to be analyzed, which took up to two days manually, so negatively affecting service levels. With the amount of data ARI collects doubling every 14 months, their in-house ETL data warehouse limited their ability to fully help customers reduce fleet costs and gain operational efficiencies.
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