Almost three years after Apple launched its well-known voice assistant Siri for the Arabic language, there is still room for further improvement. Siri can currently understand more than 20 languages and dialects; but, when it comes to Arabic, its abilities are not good enough to fully understand what users need. Several utterance errors together with poor understanding skills are quite frustrating for Arabic speakers. What’s going wrong here?
Lex, the bot building platform in which Amazon has invested a great deal of money, can be drastically improved. Lex’s understanding accuracy has the potential to go from 40% to over 90% thanks to the artificial training data automatically generated by Bitext. Building a well performing bot with Lex is now possible!
Customers are using channels such as Facebook Messenger as the place where to complain when their online order is delivered late. Therefore, companies have started to trust in chatbots for handling these issues. Can you see the potential of applying sentiment analysis to chatbot conversations?
Any improvement you want to make to your chatbot must be based on real facts to achieve more favorable results; there is no time to shoot in the dark. This is where metrics have an important role to play: telling you what needs to be modified to assure a better customer experience and increase your revenue rates. What gets measured, gets managed.