Terminology

This part of the manual will give you some background in conversational AI and customer service automation by defining key concepts and explaining some terms.

There are a few key concepts to understand when it comes to conversational AI.

What is conversational AI?

The use of artificial intelligence technology to create chatbots and other types of virtual assistants that can communicate with humans in natural language is called conversational AI. It's a type of artificial intelligence that enables computers and devices to have natural conversations with people.

Natural Language Processing (NLP) is the ability of a computer to understand human language and respond in a way that is natural for humans. This includes understanding the intent of a user's question, as well as understanding the nuances of human conversation.

Context is also important, as a computer needs to understand the conversation taking place in order to respond in a way that is relevant. Additionally, computers need to be able to learn over time, so that they can better understand the nuances of human conversation.

Each of these objectives can be achieved easily with Activechat, so let's dive into some specific terms first.

Do I need a tech background to build conversational AI systems?

Quick answer: no. Our vision is to enable non-tech teams that do customer communication (service, marketing, sales, etc) with the most up-to-date technology to help them do their job better, and we are devoted to making this process as easy as possible.

Once you get familiar with the basics of Activechat as a platform, you'll be able to build advanced customer service automation scenarios in weeks or even days instead of months, skipping the development learning curve and saving substantial amounts of money on custom development.