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Chatbots can be classified into usage categories such as conversational commerce (e-commerce via chat), analytics, communication, customer support, design, developer tools, education, entertainment, finance, food, games, health, HR, marketing, news, personal, productivity, shopping, social, sports, travel and utilities.\r\nBeyond chatbots, Conversational AI refers to the use of messaging apps, speech-based assistants and chatbots to automate communication and create personalized customer experiences at scale.\r\nThe process of building, testing and deploying chatbots can be done on cloud-based chatbot development platforms offered by cloud Platform as a Service (PaaS) providers such as Oracle Cloud Platform SnatchBot and IBM Watson. 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In banking, chatbots and virtual assistants are some of the industry’s newest tools designed to simplify the interaction between humans and computers.\r\n<span style=\"font-weight: bold;\">What is a chatbot?</span>\r\nA chatbot is artificial intelligence (AI) software that can simulate a conversation (or a chat) with a user in natural language through messaging applications, websites, mobile apps or through the telephone.\r\n<span style=\"font-weight: bold;\">Why are chatbots important?</span>\r\nA chatbot is often described as one of the most advanced and promising expressions of interaction between humans and machines. However, from a technological point of view, a chatbot only represents the natural evolution of a Question-Answering system leveraging Natural Language Processing (NLP). Formulating responses to questions in natural language is one of the most typical examples of Natural Language Processing applied in various enterprises’ end-use applications.\r\n<span style=\"font-weight: bold;\">How does a chatbot work?</span>\r\nThere are two different tasks at the core of a chatbot:\r\n<ol><li>user request analysis</li><li>returning the response</li></ol>\r\nUser request analysis: this is the first task that a chatbot performs. It analyzes the user’s request to identify the user intent and to extract relevant entities.\r\nThe ability to identify the user’s intent and extract data and relevant entities contained in the user’s request is the first condition and the most relevant step at the core of a chatbot: If you are not able to correctly understand the user’s request, you won’t be able to provide the correct answer.\r\nReturning the response: once the user’s intent has been identified, the chatbot must provide the most appropriate response for the user’s request. The answer may be:\r\n<ul><li>a generic and predefined text;</li><li>a text retrieved from a knowledge base that contains different answers;</li><li>a contextualized piece of information based on data the user has provided;</li><li>data stored in enterprise systems;</li><li>the result of an action that the chatbot performed by interacting with one or more backend application;</li><li>a disambiguating question that helps the chatbot to correctly understand the user’s request.</li></ul>\r\n<span style=\"font-weight: bold;\">In what is the benefit of chatbots?</span>\r\nChatbot applications streamline interactions between people and services, enhancing the customer experience. At the same time, they offer companies new opportunities to improve the customer's engagement process and operational efficiency by reducing the typical cost of customer service.\r\nTo be successful, a chatbot solution should be able to effectively perform both of these tasks. Human support plays a key role here: Regardless of the kind of approach and the platform, human intervention is crucial in configuring, training and optimizing the chatbot system.\r\n<span style=\"font-weight: bold;\">Which chatbot application is right for you?</span>\r\nThere are different approaches and tools that you can use to develop a chatbot. Depending on the use case you want to address, some chatbot technologies are more appropriate than others. In order to achieve the desired results, the combination of different AI forms such as natural language processing, machine learning, and semantic understanding may be the best option.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Chatbot_Development.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"suppliedProducts":[{"id":4089,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Flow_XO.jpg","logo":true,"scheme":false,"title":"Flow XO for Chat","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"supplierPartnersCount":0,"alias":"flow-xo-for-chat","companyTitle":"FLG Software","companyTypes":["supplier","vendor"],"companyId":6240,"companyAlias":"flg-software","description":"Chatbots are a great way to greet new visitors to your website. They provide a friendly greeting then can serve as a guide to the site, helping customers find the information they need much more efficiently.\r\n<span style=\"font-weight: bold;\">Use Flow XO for Chat to connect to your platforms</span>\r\nFlow XO for Chat is truly cross-platform, allowing you to create bots that interface with Facebook Messenger, Slack, Twilio SMS, Telegram and even via your existing website. You can connect to one of these platforms or all of them - the choice is yours.\r\n<span style=\"font-weight: bold;\">Use Flow XO for Workflow to control your bot</span>\r\nOnce you have one or more platforms connected, you then create a back-end workflow with Flow XO for Workflow that controls what happens when a user interacts with your bot. 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It analyzes the user’s request to identify the user intent and to extract relevant entities.\r\nThe ability to identify the user’s intent and extract data and relevant entities contained in the user’s request is the first condition and the most relevant step at the core of a chatbot: If you are not able to correctly understand the user’s request, you won’t be able to provide the correct answer.\r\nReturning the response: once the user’s intent has been identified, the chatbot must provide the most appropriate response for the user’s request. The answer may be:\r\n<ul><li>a generic and predefined text;</li><li>a text retrieved from a knowledge base that contains different answers;</li><li>a contextualized piece of information based on data the user has provided;</li><li>data stored in enterprise systems;</li><li>the result of an action that the chatbot performed by interacting with one or more backend application;</li><li>a disambiguating question that helps the chatbot to correctly understand the user’s request.</li></ul>\r\n<span style=\"font-weight: bold;\">In what is the benefit of chatbots?</span>\r\nChatbot applications streamline interactions between people and services, enhancing the customer experience. At the same time, they offer companies new opportunities to improve the customer's engagement process and operational efficiency by reducing the typical cost of customer service.\r\nTo be successful, a chatbot solution should be able to effectively perform both of these tasks. 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