Xxx chatbot

Currently, there is a short list of key software providers capable of designing and launching a chatbot.

The most relevant of the current scene are Google Dialog flow, Inbenta, Amazon Alexa, Microsoft and IBM Watson.

For example, in an airline, an intent could take the form of a query, such as “how to travel with pets? When asked by a user about this topic, the chatbot provides a relevant response that helps the user to resolve their doubt. The Botmaster has been able to generate an intent for the machine and has provided a lesson on what the answer is. What will happen if we reformulate the same question with different words? ” In this case, the default chatbot lacks the capability to understand that the two questions refer to the same intent.

In specific terms, this capability is called NLU (Natural Language Understanding).

Most US software has a certain degree of effectiveness in English, but when dealing with languages such as German, Italian or Portuguese, you will find that their performance declines.

Surely we will have more luck with European technology, in which there is a more developed sensitivity regarding the users idiomatic realities.

In fact, in many cases it represents more than half of the time of implementation of a chatbot project. NLU allows you to obtain automatically from computational linguistics an infinite number of utterances for the same intent, and therefore a considerable saving of money at the same time as improving the “time-to-market” of the chatbot.

Possibly the implementation time of a chatbot is extended in weeks (and in cost) only by the need to have to create those utterances. Lacking these capabilities does not necessarily mean that you can’t build a chatbot, but the lack of comprehensive capacity will result in a considerable increase of time and cost in your project.

The reality is that in any business vertical, a company needs an average of between 200 and 800 intents to cover a use case.

Taking an intermediate value, for example 500 intents, let’s assume that we are fortunate that we do not have to create utterances of the style “Travel to Paris, Travel to Barcelona, Travel to xxx”.

Their mission is simple: to be part of your day-to-day when it comes to solving problems, queries, or purchases, and help you access the relevant information instantly without an endless wait.

But the question is: how easy is it for a company to create one of these chatbots?

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