AI Chatbots
- (Versailles, France - Alvin Wei-Cheng Wong)
- Overview
An AI chatbot using machine learning understands the context and intent of a question before formulating a response. These chatbots use natural language responses to generate their own answers to more complex questions. The more you use and train these bots, the more they learn and the better they work with users.
AI chatbots are chatbots trained to hold human-like conversations using a process called natural language processing (NLP). With NLP, AI chatbots are able to interpret human language as they are written, which allows them to operate more or less on their own.
In other words, AI chatbot software can understand languages beyond preprogrammed commands and provide responses based on available data. This allows site visitors to lead the conversation, expressing their intent in their own words.
What's more, AI chatbots are constantly learning from their conversations - so, over time, they can adjust their responses to different patterns and new situations. This means they can be applied for a wide range of purposes, such as analyzing how customers feel or predicting what website visitors are looking for on your website.
- How an AI Chatbot Works
At a basic level, an AI chatbot receives input data, which it interprets and turns into relevant output. So, if a website visitor asks a question, an AI chatbot will analyze their intent and other factors like tone and emotion, and then try to provide the best answer.
To do this, AI chatbots need access to large amounts of conversational data. That's why an AI chatbot must go through a training period in which programmers teach it how to understand the context of a person's words. It is this understanding that enables chatbots to answer complex queries in a natural, conversational manner.
- Applications of AI Chatbots
An AI chatbot is a software program that uses artificial intelligence (AI) to simulate human-like conversation with a user. AI chatbots use natural language processing (NLP) and machine learning (ML) to understand and respond to user queries, rather than relying on pre-programmed responses.
AI chatbots can be used for a variety of purposes, including:
- Customer service: AI chatbots can help customers with simple tasks, such as answering FAQs, providing product recommendations, and facilitating transactions.
- E-commerce: AI chatbots can provide personalized recommendations and help with ordering products and services.
- Healthcare: AI chatbots can be used for virtual medical consultations and appointment scheduling.
- Market research: AI chatbots can collect short survey responses.
AI chatbots can improve customer experiences, reduce costs, and scale customer support. They can also adapt to user inputs over time, and handle a wider range of issues with greater accuracy and efficiency.
A chatbot is a software that simulates a human-like interaction when engaging customers in a conversation, whereas conversational AI is a broader technology that enables computers to simulate conversations, including chatbots and virtual assistants. Essentially, the key difference is the complexity of operations.
