{"id":3311,"date":"2021-10-19T09:34:00","date_gmt":"2021-10-19T09:34:00","guid":{"rendered":"https:\/\/www.digitalogy.co\/blog\/?p=3311"},"modified":"2025-01-24T15:54:27","modified_gmt":"2025-01-24T10:24:27","slug":"conversational-ai-the-technology-of-the-modern-age","status":"publish","type":"post","link":"https:\/\/www.digitalogy.co\/blog\/conversational-ai-the-technology-of-the-modern-age\/","title":{"rendered":"Conversational AI: The Technology of the Modern Age"},"content":{"rendered":"\n

When was the last time you gave a command to your home assistant, \u201cAlexa, switch on the living room lights\u201d? In case you missed out, Alexa and Siri are an example of conversational AI. <\/strong>Have you ever wondered how virtual customer assistants work? How do they answer customers\u2019 queries with utmost precision and complete knowledge? Do they store customers\u2019 information somewhere?<\/p>\n\n\n\n

Through this article, we attempt to answer all your questions like what is conversational AI, which are conversational AI platforms, and conversational AI vs chatbots. Hopefully, by the end, you will be able to know how the latest technology works and some of the popular conversational AI examples.<\/p>\n\n\n\n

What is Conversational AI?<\/strong><\/h2>\n\n\n\n

It is a collection of technologies that are responsible for the regulation, automation, and facilitation<\/strong> of human-like interactions between computers and humans. Technologies including Conversational AI systems not only recognize speech and text but also decipher the intent of the message and respond in ways similar to human interactions. You might be thinking of a chatbot you communicated with recently, make no mistake conversational AI is different and enhanced in terms of technology than chatbots. Some recent examples of conversational AI are Amazon Alexa<\/a>, Google Assistant<\/a> and Apple\u2019s Siri<\/a>. These technologies are taking the world by storm!<\/p>\n\n\n\n

How does it work?<\/h2>\n\n\n\n

A conversational AI works across several levels. It begins with recognizing and deciphering the speech and translating it into a machine language<\/strong> for further process. Then, based on the query, an appropriate response is formed. Following this, the response is again translated into a language understood by humans. Thus, AI functions across a different set of speech technologies.<\/p>\n\n\n

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\"How<\/figure>\n<\/div>\n\n\n

(Source: https:\/\/www.boost.ai\/knowledge)<\/em><\/strong><\/p>\n\n\n\n

The key components are:-<\/p>\n\n\n\n

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  1. Automated Speech Recognition (ASR)<\/li>\n\n\n\n
  2. Natural Language Processing (NLP)<\/li>\n\n\n\n
  3. Advanced Dialog Management<\/li>\n\n\n\n
  4. Machine Learning<\/a> (AI)<\/li>\n<\/ol>\n\n\n\n

    The following section will elaborate on ASR, NLP, and ML among other components of Conversational AI.<\/p>\n\n\n\n

    Components that Constitute Conversational AI<\/h2>\n\n\n\n

    As mentioned earlier, this section is an overview of the key components of conversational AI that play a vital role in its functioning. These include Automated Speech Recognition (ASR), Natural Language Processing (NLP), Advanced Dialog Management (a subset of NLP), and Machine Learning (ML).<\/p>\n\n\n\n

    Automated Speech Recognition <\/h3>\n\n\n\n

    Once the information is spoken, the ASR comes to work and translates it into a machine-readable format<\/strong> for further processing. ASR is also called speech-to-text (STT)<\/strong>. ASR is one of the most popular and revolutionary systems in the field of computational linguistics.<\/p>\n\n\n\n

    Natural Language Processing <\/h3>\n\n\n\n

    Natural Language Processing is a technology that analyses language using ASR or Machine learning<\/strong> depending on whether the users\u2019 information is text or speech-based. Four parts constitute NLP- Input generation, Natural Language Understanding (NLU), Advanced Dialog Management, and Reinforcement Learning.<\/p>\n\n\n\n

    a. Input generation<\/strong><\/p>\n\n\n\n

    Input generation is the first step that includes the coming in of the information to be used for further translation and analysis.<\/p>\n\n\n\n

    b. Natural Language Understanding<\/strong><\/p>\n\n\n\n

    Natural Language Understanding is an important aspect that deciphers the meaning of the input and derives the appropriate intention.<\/p>\n\n\n\n

    c. Advanced Dialog Management<\/strong><\/p>\n\n\n\n

    Advanced Dialog Management is accorded with the task of forming responses based on the query and then translating them using Natural language generation.<\/p>\n\n\n\n

     d. Reinforcement Learning<\/strong><\/p>\n\n\n\n

    Reinforcement learning<\/a> refines and regulates responses ensuring the highest accuracy.<\/p>\n\n\n\n

    Machine Learning <\/h3>\n\n\n\n

    Machine learning is a part and parcel of artificial intelligence, that aims at deciphering the human language and recognizing patterns<\/strong> to their highest accuracy and strives for the perfect responses.<\/p>\n\n\n\n

    How to build a conversational AI?<\/h2>\n\n\n\n

    The building begins with thinking of prospective questions\/queries that customers may want to interact with about the product or service being provided. Following this, conversational AI tools can be used to enter the relevant information.<\/p>\n\n\n\n

    In this section, we are going to provide you with a step-by-step guide on how to build conversational AI.<\/p>\n\n\n\n

    Step 1-<\/strong> Creating a list of frequently asked questions (FAQs)<\/h3>\n\n\n\n

    Imagine yourself as an end-user of the product\/service and write down a series of questions that you may have regarding the product. This list of questions will help to determine the needs of your consumers. For this step, you can take assistance from your client\/customer success team as they would know what the frequently answered queries are. Let us take an example of an adult care centre. The questions that a user might have are-<\/p>\n\n\n\n

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    1. How do I begin with the registration process?<\/li>\n\n\n\n
    2. What recreational activities are included in the basic plan?<\/li>\n\n\n\n
    3. Is the cost of food included in the given budget?<\/li>\n\n\n\n
    4. Is medical assistance available for 24hr?<\/li>\n\n\n\n
    5. How many rooms are available in the condo?<\/li>\n<\/ol>\n\n\n\n

      You can add more questions to this list over time. The more questions you add, the better conversational AI will work.<\/p>\n\n\n\n

      Step 2-<\/strong> Insert your questions into a conversational AI tool as intent<\/h3>\n\n\n\n