There is no single, universally accepted definition for Artificial Intelligence, as there is a wide range of ways in which AI can be used. However, in the simplest form, we can say that Artificial Intelligence is a field of computer science dedicated to simulating human intelligence in machines to perform cognitive activities.

Many technologies incorporate AI, including machine learning, deep learning, and neural networks. In fact, these terms are often used interchangeably, although they are not the same.

It’s interesting to take a quick understanding of these key technical terms to know how conversational tools can benefit from AI.

In the field of conversation, machines must understand natural language and that’s where Natural Language Processing comes in.

Even though the machine can interpret the user’s intent, first the message, when spoken by voice, must be transcript to the machine. This process, which is called Automatic Speech Recognition (ASR) accurately converts speech to text and serves as a human-communication bridge.

Inside this process, there are several key terms that need to be understood, where artificial intelligence is used.

Let’s look:

NLP is the component of Artificial Intelligence responsible for enabling computers to decipher the human language. It works by taking unstructured data into a form that is easily comprehensible by machines. Its subtopics include natural language understanding and natural language generation.

NLU uses syntactic and semantic analysis of text to determine the meaning of the sentence, rather than simply what the individual words say, allowing it to determine the intended meaning of a sentence. This is particularly important because the same word can have a different meaning when spoken in other contexts.

NLG is the process of converting data into text or speech producing human language. It is used in conversation to respond in a natural way to a user question.

Conversational AI can understand costumers’ intents, but does it understand their emotions as well? Sentiment Analysis it is vital to make Customer Experience more human than ever.

The base of Sentiment Analysis is Natural Language Processing analysis to decode emotional tone in conversations between people and virtual assistants. Through advanced algorithms, it is possible to qualify as positive, neutral, or negative user feelings.

Sentiment analysis applications are growing in the conversational field, mainly influencing virtual assistants to make better decisions according to user mood. As a result, by giving responses with emotional intelligence, Conversational AI can provide more human-like interaction and delightful to the entire user experience.

With AI virtual assistants have become even more powerful, providing a more intuitive, efficient, and accurate service. Once AI-powered them with the ability to learn and adapt to user’s preferences and habits. Using machine learning algorithms virtual assistants can analyze data from past interactions to determine users’ wants and predict future outcomes. This enables them to provide a more personalized experience and improve their performance over time.

Natural Language Processing is another factor that is transforming virtual assistants and will improve even more virtual assistants in the future. NLP allows virtual assistants to understand and respond to human speech and text, making it easier for users to communicate with their devices. Virtual Assistants can respond to a wide range of questions and perform even more complex tasks, in multiple areas such as customer service, customer engagement, and business automation.

Another important aspect that AI-powered virtual assistants are the ability to integrate with other technology, systems, apps, and services, such as calendars and email, to provide a more comprehensive and seamless experience. This advantage can help reduce the workload of individuals and businesses and lead to increased productivity and efficiency.

Artificial Intelligence overall is transforming virtual assistants in many ways, making them more intelligent, personal, and integrated. Virtual Assistants powered by AI have become an essential tool for many companies and businesses, and in the future, even more, companies will adopt this type of tool to help their businesses.