Using AI, bots and chatbots can be defined as a computer program that simulates human conversation through natural language understanding.
They can be configured in many different ways, with wide use as a digital assistant, including online customer service, marketing and sales, all in compliance with the LGPD (General Digital Protection Law), legislation in force throughout the national territory.
Other applications of chatbots are related to automated programs for performing simple tasks, such as setting reminders and providing weather information.
Within more complex activities, bots, in particular, can be applied in the production line of a custom-made aluminum frame industry , following a completely aligned standardization.
With so many purposes and applications, bots and chatbots have in common the use of various AI technologies to interpret users' intentions from programming, to respond to what is said or written, and respond as people do.
How do bots work?
To simplify the answer, it is worth following the nigeria whatsapp data understanding that bots are used in the creation of automated electronic messengers, as this application involves a large part of society, from the use of an ATM in a bank to communication on websites.
Therefore, in terms of how chatbots work, it is possible to determine at least 2 main types that use self-learning and rule-based AI.
Rule-based chatbots
This type of chatbot relies on predetermined rules, which are defined by a human developer to respond to certain inputs.
Therefore, the response flexibility is low, as it can follow a list of pre-determined questions, or specific commands that it is programmed to understand.
Chatbots for self-prediction
On the other hand, self-learning chatbots rely on machine learning algorithms to understand customer interactions and improve response types over time.
The flexibility of self-learning chatbots is much greater, and they can handle more complex tasks than rule-based ones. However, they require data input to train before they become widely effective.
In both cases, they must undergo extensive testing first, either according to rules programmed and defined by the developer, or through data from interactions with the end user.