New to the term Conversational AI? Go through this comprehensive conversational AI guide and learn the basics of conversational AI.
When science and technology are rapidly advancing, many new technologies are gaining ground in today’s scenario. We need to understand that technology has been around for a long time, and most of the latest technologies are diversification of existing technologies.
Although artificial intelligence has existed for quite some time now, it has only recently become highly advanced and popular. With the advancement of artificial intelligence, the technology has evolved into different subsets. One such subset of artificial intelligence is conversational artificial intelligence or conversational AI.
If you need a complete Conversational AI guide, we are here to address some of the most frequently asked questions about conversational AI. Read on to find out to know what conversational AI is and how conversational AI works.
By definition, what is conversational AI? Conversational AI refers to a set of technologies that are usually integrated into a computer to help it register, process, comprehend, and respond to human language, spoken words, or text so that the responses imitate human interactions and are easily understood by the people interacting with it.
While humans create machines, machine language is very different from human languages. Each of these languages has a certain level of complexity, generally not understood by the other. Conversational AI is the set of technologies that act as a bridge between the two languages to create a more comprehensive and fruitful conversation between the machine and the user.
Trained and experienced professionals create machine languages. These languages are not understood by the commoner who does not interact in machine language every day. Similarly, human languages are diverse in dialect and accent, which can pose a challenge to a machine interacting with people every day.
Today, when everybody owns a computer, whether a smartphone, a laptop, a tablet, or a smart device, it is essential that the level of complexity behind a human-computer interaction decreases. The parity between computer and human languages should increase in tandem with the accessibility of computing devices. The application of conversational AI introduces simplicity in human-computer interaction.
Humans are looking for more convenience when using a computer. This convenience is achieved through conversational AI. Conversational AI gives a human-like impression to computer and user interaction. It mimics a human conversation to introduce ease while interacting with the computer. Conversational AI generates quick and intelligent responses similar to humans. The reactions created by the AI interface have to be natural-sounding, identical to a human response.
Conversational AI tools include intelligent chatbots and virtual assistants that people see as smart companions in daily life. Humans are learning to interact with conversational AI-powered computers with materials like a conversational AI guide.
We understood what conversational AI is and why it should be a part of a computer user interface. But, what goes into the inner workings of something as complex as conversational AI?
Conversational AI includes a set of correlated technologies that help in recognizing and processing human language. One end of conversational AI is the processing of human language. The other end is the interpretation of machine responses to natural language responses. To create these responses, Conversational AI engages Natural Language Processing and Natural Language Understanding. No conversational AI guide is complete without an elaboration of these two technologies.
Natural Language Processing is the ability of a set of computer programs to process and understand the words and dialects of human languages. The NLP unit of conversational AI converts the words spoken by the user or the text typed into machine language to compute it and generate a response. Natural Language Processors help chatbots and virtual assistants in deciphering the nuances of human language into machine language.
Natural Language Understanding is the ability of a conversational AI-empowered machine to decipher the broad meaning of what has been said by the user. Natural Language Understanding is important for a better understanding of the instructions given by the user. Usually, the conversation between a computer and its user is long and in continuance. Natural language Understanding helps the computer grasp the overall context of the conversation and maintain the conversation flow with the user. NLU helps in the generation of empathetic responses by a computer and enhances an algorithm’s final result.
Any conversation AI tutorial will enlighten you about the different approaches to conversational AI that machines take. There are, in general, two broad approaches to conversational AI-
Reactive engagement includes the reactions generated by a conversational AI-powered machine in response to a query put forward by the user. Users see conversational AI tools as companions that can help find simple and best solutions at their fingertips. Virtual assistants like Siri by Apple are examples of reactive engagement interfaces.
Proactive engagement is created by conversational AI tools that study habits and lifestyle patterns to push forward beneficial suggestions or information. These conversational AI tools proactively engage the users in conversation and can be a great aid to the modern lifestyle. Health trackers and lifestyle guides can be examples of proactive engagement conversational AI interfaces.
One of the technologies that have been in application for a long time is artificial intelligence. Research in artificial intelligence stems from the fact that humans are always fascinated about creating technology that mimics human intelligence in applications. As technology’s application increases in the different spheres of human life, it is only natural for technology to evolve into applications serving human-like experiences.
Although conversational AI is a new term for many technology enthusiasts, the need for conversational AI has always existed. If we look at conversational AI closely, it is the direct solution to the need for creating technologies that are easy to interact with and mimic a human conversation. Conversational AI is, in fact, one of the most popular applications of AI that has the potential to become widely used with its versatility. Contact us at eBotify and our experts will tell you about conversational AI and chatbots.
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