A client came to us because their bot couldn’t understand customer requests like: “I’ve been a client for five years and my daughter wanted that present so badly; but I haven’t received it yet!". It was impossible for their bot to understand such a combination of knowledge items. That’s how we started implementing query segmentation.
Last week, Bitext was included in the selective list of "Cool Vendors in AI Core Technologies” by Gartner, Inc. We have been recognized for our NLP Middleware technology for conversational bots and virtual assistants.
For a monolingual person, it comes as an uncomfortable reality that most people in the world (60%) speak more than one language in their day-to-day lives. It is very common that a person who speaks one language at home and then another one outside, be it at school or at work. But many more scenarios are possible.
We can't deny it: our API platform, the longest-standing product we have been offering, is our favorite. Up until now it was fairly good and defintely had the job done, but we knew we could achieve even greater results. So these past few months we have been working intensively on renovation at all levels, and now we are truly excited to present to you a new version!
What happens after you build a chatbot for a client? I mean, when the architecture is set up, the NLU module has been built, the conversation flows are designed, and everything is ready. All is left is going into production, where you will have thousands of users' interactions that will train your bot and make it super smart, right?