10:15 - 11:15
Telecom is one of the domains that have the richest available data. CDR (call detail records), usage patterns, customer documents and call center messaging etc. are all part of the large volume of data which is sometimes hard to predict or to find a meaning in. In this session, we’ll describe two production ready real-world use cases in a telecommunication domain. One of them is verifying a port-out document based on image processing. Port-out documents can be misleading due to frauders or faulty scannings. In this task, we’ll provide a solution on how to preprocess these images and then build a convolutional neural network model. Another one is building a retrieval-based chatbot using text preprocessing, word embedding, convolutional neural network and sequence-to-sequence learning.