In this talk, we'll see how we went to develop an advanced phone call handling platform using speech-to-text, text-to-speech, NLP and sentimental analysis APIs to answer calls, analyse the query and come up with a good answer (if possible) while we determine the overall satisfaction level of the call. We'll illustrate this with chunks of code and a live phone call to explain the internals of the call handling platform.
Vincent Van Steenbergen is a senior (big) data engineer who's working on systems able to handle terabytes of data, usually involving Spark, Scala, Kafka, Hadoop and Cassandra. His main interest right now is applying these techniques to solve machine learning problems. Vincent was previously a technical architect at Property.Works, a real estate startup in London and before that an R&D engineer at IDAaaS.