Conversational Artificial Intelligence (Conversational AI) is what the future is going to be all about. Humans essentially have conversational intelligence programmed within them. We are able to form connections with each other, understand and engage with one another. Artificial Intelligence is starting to catch up with us humans in this sphere too. Conversational Artificial Intelligence (Conversational AI) is starting to take off and gain momentum. Conversational AI refers to technology that helps computer programs to process, analyze, understand, and reply to queries and messages in text or voice format. It’s typically utilized in virtual conversational agents and chatbots. Conversational AI helps in creating personalized experiences on a large scale. Conversational AI is used in software like chatbots, virtual assistants, social agents, etc. and these are extremely useful for businesses. They’re more economical and efficient. They do more, for less and end up giving businesses higher results at lower costs. By 2022, chatbots are said to save businesses more than $8 billion per year in customer support costs alone.
Conversational Agents, Dialogue systems, social agents or chatbots are computer programs that converse with humans in natural-seeming ways using communication channels such as speech, text and/ or voice. While specialist agents focus on constraining topics like an organization’s internal data or information on particular topics like technical support, investment advice, personal styling tips, etc., Siri, Alexa and Cortana are examples of Conversational Agents which we interact with on a regular basis; generalist agents catering in a vast range of topics. These are the Artificial Intelligence-powered Conversational Agents which we are most familiar with. The next-generation conversation agents, virtual agents, or chatbots are more than static dialogues with dummy interactions but true AI tools that learn from their interactions, providing relevant information that you asked for and even information you didn’t even know you wanted in the first place.
Conversational Artificial Intelligence (Conversational AI) can communicate like humans by recognizing speech and text, understanding intent, deciphering multiple languages, and responding in a manner that simulates human conversation. The best Conversational AI offers an end result that is indistinguishable from what a human could deliver. This was sparked by the Turing Test in 1950, where Alan Turing challenged the computer programmers of the world to create a computer program that could hold a conversation with a user in a manner in which it would be indistinguishable from an actual human. Ever since Alan Turing issued that open challenge, computer programmers across the world have made it their mission to develop conversational AI that could beat the Turing Test. Think about the last time that you communicated with a business and you could have completed the same tasks, with the same or even with less effort, than you could have with a human. That’s Conversational AI at its best. Some of the most widely used conversational intelligence software are chatbots, virtual assistants and conversational agents. These are used in a wide range of industries. Other than customer support, which is a function that chatbots especially shine in, these Conversational AI software have been utilized in spheres like E-Commerce, Travel & Tourism, Hospitality, Healthcare, and many others.
The chatbots of the future will all be employing Conversational Artificial Intelligence (Conversational AI). Chatbots are moving away from the scripted, rule-based responses of the past. They’re going to converse in a more natural-sounding manner and will very soon start coming close to beating the Turing Test. Employing Conversational AI, these chatbots will be able to sound and feel human. They will even develop emotional intelligence and be able to judge the user’s emotional condition, from the context developed in the conversation. This will help these chatbots to respond to queries in a manner that is better suited for the user’s current emotional state. They can be comforting and empathetic when needed and will have a better idea about dealing with frustrated or angry users. Chatbots have grown in hype over the decades. Some proponents even argue that these bots may replace 99% of apps in the years to come. Even Mark Zuckerberg, in his keynote address, while launching Facebook Messenger chatbots, said that nobody wants to download a separate mobile app for every business that they interact with anymore.
A Conversational AI platform is a platform that allows you to use conversational AI to build conversational agents like chatbots. Such a platform can facilitate the building of conversational agents with ease. Conversational AI platforms like Engati allow you to build chatbots without having to code them from scratch. They help you to create chatbots that serve your purpose, even if you don’t have a clue about coding. Conversational AI platforms are beneficial because they save individuals and organizations the time, energy and money that it would cost them to build a conversational agent all the way up from scratch. The conversational AI platform’s main purpose is to help the brands to create quick, engaging and helpful customer interactions using a Chatbot. While they can be helpful to organizations of all sizes, they’re especially useful for organizations with limited resources. These organizations get the dual benefit of having a chatbot to handle their queries and having a platform that doesn’t require the deployment of a lot of resources to build and manage their chatbot(s).
In January 2020, Google released Meena, a revolutionary new conversational agent. Google came forth with its human-like chatbot, Meena, on a highly competitive note such that it can hold a conversation in a near-human manner. Google created the Sensibleness and Specificity Average (SSA), a metric used to measure the ability of a conversational agent to maintain responses in conversation that make sense and are specific. Humans rank around 86% in the SSA test, and in initial tests, Meena scores a high of 79%. To put this into context, Mitsuku, an AI agent that’s won the Leobner prize 4 times in a row before Google released Meena, only managed to score 56%. Meena has a neural network with 2.6 billion parameters and can handle multi-turn dialogue on 300+ GB of text data and social media chatter.
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