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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. 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Part of the Microsoft Bot Framework.</p>\r\n<p><span style=\"font-weight: bold;\">We love bots, and want to make them easy and fun to build!</span></p>\r\n<ul>\r\n<li>Battle-tested code, in use by 10,000's of bots right now</li>\r\n<li>Visual conversation builder</li>\r\n<li>Integrated NLP from LUIS.ai</li>\r\n<li>Powerful Open Source libraries</li>\r\n<li>Dozens of plugins</li>\r\n</ul>\r\n<p><span style=\"text-decoration: underline;\"><span style=\"font-weight: bold;\">Botkit Community Resources</span></span></p>\r\n<p><span style=\"font-weight: bold;\">Join the open Slack at <a href=\"http://community.botkit.ai\" target=\"_blank\" rel=\"noopener\">community.botkit.ai</a></span></p>\r\n<p>You can join nearly 10,000 developers building bots and messaging apps in our friendly, open Slack community. Sign up today and be sure to introduce yourself to the #botkit channel. Also, expect a DM from our friendly Welcome bot when you join!</p>\r\n<p><span style=\"font-weight: bold;\">Explore Botkit on GitHub and become a contributor</span></p>\r\n<p>You can contribute to the best bot making toolkit around! If you need it, you can get help from the thousands of developers building with Botkit. Please browse <a class=\"external-link-new-window\" title=\"Opens internal link in current window\" href=\"https://github.com/howdyai/botkit/issues\" target=\"_blank\" rel=\"noopener\">the GitHub Issues</a> to see known issues and submit any bugs you find, and we'll be sure to help sort them out!</p>\r\n<p><span style=\"font-weight: bold;\">Microsoft Bot Framework</span></p>\r\n<p>Botkit is just one part of a bigger set of developer tools and SDKs that encompass the Microsoft Bot Framework. The Bot Framework SDK provides the base upon which Botkit is built. It is available in multiple programming languages!</p>","shortDescription":"Botkit is an open-source development tool for building chatbots, apps and custom integrations for major messaging platforms.\r\n","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":13,"sellingCount":9,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Botkit","keywords":"","description":"<p>An open-source development tool for building chatbots, apps and custom integrations for major messaging platforms. Part of the Microsoft Bot Framework.</p>\r\n<p><span style=\"font-weight: bold;\">We love bots, and want to make them easy and fun to build!</span","og:title":"Botkit","og:description":"<p>An open-source development tool for building chatbots, apps and custom integrations for major messaging platforms. 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Some chatbots use sophisticated natural language processing systems, but many simpler ones scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database.\r\nThe term &quot;ChatterBot&quot; was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs. Today, most chatbots are accessed via virtual assistants such as Google Assistant and Amazon Alexa, via messaging apps such as Facebook Messenger or WeChat, or via individual organizations' apps and websites. 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. These cloud platforms provide Natural Language Processing, Artificial Intelligence and Mobile Backend as a Service for chatbot development.\r\nSome Companies like Microsoft Azure and AARC are currently providing their Bot Engines through which chatbot Platforms or Software can be developed.","materialsDescription":"New tools designed to simplify the interaction between humans and computers have hit the market: Chatbots or Virtual Assistants. 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."}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[],"valuesByTemplateId":{"103":{"1695":{"id":9877,"characteristicId":1695,"templateId":103,"value":"N/A"},"1697":{"id":9878,"characteristicId":1697,"templateId":103,"value":"N/A"},"1699":{"id":9879,"characteristicId":1699,"templateId":103,"value":"N/A"},"1701":{"id":9880,"characteristicId":1701,"templateId":103,"value":true},"1703":{"id":9881,"characteristicId":1703,"templateId":103,"value":"N/A"},"1705":{"id":9882,"characteristicId":1705,"templateId":103,"value":true},"1707":{"id":9883,"characteristicId":1707,"templateId":103,"value":true},"1709":{"id":9884,"characteristicId":1709,"templateId":103,"value":"N/A"},"1711":{"id":9885,"characteristicId":1711,"templateId":103,"value":true},"1713":{"id":9886,"characteristicId":1713,"templateId":103,"value":"N/A"},"1715":{"id":9887,"characteristicId":1715,"templateId":103,"value":"N/A"},"1717":{"id":9888,"characteristicId":1717,"templateId":103,"value":"N/A"},"1719":{"id":9889,"characteristicId":1719,"templateId":103,"value":true},"1721":{"id":9890,"characteristicId":1721,"templateId":103,"value":"N/A"},"1723":{"id":9891,"characteristicId":1723,"templateId":103,"value":true},"1725":{"id":9892,"characteristicId":1725,"templateId":103,"value":true},"1727":{"id":9893,"characteristicId":1727,"templateId":103,"value":"N/A"},"1729":{"id":9894,"characteristicId":1729,"templateId":103,"value":"N/A"},"1731":{"id":9895,"characteristicId":1731,"templateId":103,"value":true}}}},{"id":4077,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/Botsify_Logo.png","logo":true,"scheme":false,"title":"Botsify","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"alias":"botsify","companyTypes":[],"description":"<p><span style=\"font-weight: bold;\">Your customers demand faster support</span></p>\r\n<p>Customers don't like waiting, they need help. They need it right now. Keeping people waiting for more than two hours to get the initial help means there is a 90% chance you are going to lose this customer.\u000b</p>\r\n<p><span style=\"font-weight: bold;\">Does customer retention stop your revenue goals?</span></p>\r\n<p>How many times have you thought that A little bit of less churn and you would have met your revenue goals? A Chatbot is a future technology to serve your customers on all platforms to increase customer retention and satisfaction.</p>\r\n<p><span style=\"font-weight: bold;\">Got a long queue of customers waiting?</span></p>\r\n<p>In order to help a customer effectively, your support agent can speak to at most 2 users at a time.<br />Good business days are supposed to be good. But they build up your customer waiting for queues and support tickets.</p>\r\n<p>The chatbot can be around 24/7 to all 1,000 customers at once. Never let your customer queue build up again.</p>\r\n<p><span style=\"font-weight: bold;\">Language is a barrier?</span></p>\r\n<p>You are afraid of growing internationally and answering users who speak other languages? Do you have to hire 10 different customer support agents for 10 different languages?</p>\r\n<p>You are spending thousands of dollars in customer support?</p>\r\n<p>Do you have a huge customer support team than your core team? Or you have outsourced it to an agency which doesn&rsquo;t even understand your business? You are suffering day by day, and your business expenses are increasing day by day.</p>\r\n<p><span style=\"font-weight: bold;\">Get the best price to generate business leads</span></p>\r\n<p>Are you looking for new ways to generate leads, turn website visitors into customers without annoying them?<br />Build a personal connection and upsell by retargeting them on social media. There are tons of other avenues to increase your business revenue if your chatbot is on facebook.</p>","shortDescription":"Botsify is a platform for people and businesses to make their own smart Chatbots without knowing how to code.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":3,"sellingCount":7,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Botsify","keywords":"","description":"<p><span style=\"font-weight: bold;\">Your customers demand faster support</span></p>\r\n<p>Customers don't like waiting, they need help. They need it right now. Keeping people waiting for more than two hours to get the initial help means there is a 90% chance you","og:title":"Botsify","og:description":"<p><span style=\"font-weight: bold;\">Your customers demand faster support</span></p>\r\n<p>Customers don't like waiting, they need help. They need it right now. Keeping people waiting for more than two hours to get the initial help means there is a 90% chance you","og:image":"https://old.roi4cio.com/fileadmin/user_upload/Botsify_Logo.png"},"eventUrl":"","translationId":4078,"dealDetails":null,"roi":null,"price":null,"bonusForReference":null,"templateData":[],"testingArea":"","categories":[{"id":842,"title":"Chatbot Development","alias":"chatbot-development","description":"A chatbot is a piece of software that conducts a conversation via auditory or textual methods. Such programs are often designed to convincingly simulate how a human would behave as a conversational partner, although as of 2019, they are far short of being able to pass the Turing test. Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition. Some chatbots use sophisticated natural language processing systems, but many simpler ones scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database.\r\nThe term &quot;ChatterBot&quot; was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs. Today, most chatbots are accessed via virtual assistants such as Google Assistant and Amazon Alexa, via messaging apps such as Facebook Messenger or WeChat, or via individual organizations' apps and websites. 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. These cloud platforms provide Natural Language Processing, Artificial Intelligence and Mobile Backend as a Service for chatbot development.\r\nSome Companies like Microsoft Azure and AARC are currently providing their Bot Engines through which chatbot Platforms or Software can be developed.","materialsDescription":"New tools designed to simplify the interaction between humans and computers have hit the market: Chatbots or Virtual Assistants. 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."}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[],"valuesByTemplateId":{"103":{"1695":{"id":9820,"characteristicId":1695,"templateId":103,"value":"10"},"1697":{"id":9821,"characteristicId":1697,"templateId":103,"value":true},"1699":{"id":9822,"characteristicId":1699,"templateId":103,"value":"N/A"},"1701":{"id":9823,"characteristicId":1701,"templateId":103,"value":true},"1703":{"id":9824,"characteristicId":1703,"templateId":103,"value":true},"1705":{"id":9825,"characteristicId":1705,"templateId":103,"value":true},"1707":{"id":9826,"characteristicId":1707,"templateId":103,"value":true},"1709":{"id":9827,"characteristicId":1709,"templateId":103,"value":"N/A"},"1711":{"id":9828,"characteristicId":1711,"templateId":103,"value":"N/A"},"1713":{"id":9829,"characteristicId":1713,"templateId":103,"value":"N/A"},"1715":{"id":9830,"characteristicId":1715,"templateId":103,"value":"N/A"},"1717":{"id":9831,"characteristicId":1717,"templateId":103,"value":"N/A"},"1719":{"id":9832,"characteristicId":1719,"templateId":103,"value":true},"1721":{"id":9833,"characteristicId":1721,"templateId":103,"value":"N/A"},"1723":{"id":9834,"characteristicId":1723,"templateId":103,"value":"N/A"},"1725":{"id":9835,"characteristicId":1725,"templateId":103,"value":"N/A"},"1727":{"id":9836,"characteristicId":1727,"templateId":103,"value":"N/A"},"1729":{"id":9837,"characteristicId":1729,"templateId":103,"value":"N/A"},"1731":{"id":9838,"characteristicId":1731,"templateId":103,"value":true}}}},{"id":6056,"logoURL":"https://old.roi4cio.com/fileadmin/user_upload/hubspot.png","logo":true,"scheme":false,"title":"Chatbot Builder","vendorVerified":0,"rating":"1.00","implementationsCount":0,"suppliersCount":0,"alias":"chatbot-builder","companyTypes":[],"description":"<span style=\"font-weight: bold; \">Automate and scale the chat conversations on your website. Easily build and launch chatbots on your website — no coding required.</span>\r\n<p class=\"align-center\"><span style=\"font-style: italic;\">Now you can have unlimited, personalized conversations ... at scale.</span></p>\r\n<p class=\"align-left\">Today, your visitors, prospects, and customers expect to connect with you in real time via live chat. But for most companies, supporting one-to-one conversations on a larger scale can be a challenge.</p>\r\n<p class=\"align-left\">With HubSpot’s chatbot software, you can lighten the load for your team. Easily create bots that help you qualify leads, book meetings, provide answers to common customer support questions, and more — so your team has more time to focus on the conversations that matter most.</p>\r\n<p class=\"align-left\">Configure your bot to hand the conversation off to a live agent once qualified, create support tickets, add users to lists and workflows, and more.</p>\r\n<p class=\"align-left\"><span style=\"font-style: italic;\">Create and customize chatbots yourself — no coding skills required</span><span style=\"font-style: italic;\"></span></p>\r\nNo experience creating bots? No problem. HubSpot’s canned bot templates make it easy to get started.\r\n<p class=\"align-left\">Choose a template based on your bot’s goal, and hit the ground running. Then use the visual editor to customize the conversation and match your brand’s voice and tone. Tweak the copy, add questions and multiple choice responses, and make each bot your own.</p>\r\n<p class=\"align-left\">Or start from scratch with HubSpot’s easy-to-use chatbot software to build your bot from the ground up.</p>\r\n<p class=\"align-center\"><span style=\"font-weight: bold;\">The Free CRM That Goes Far Beyond Contact Management</span></p>\r\n<p class=\"align-left\"><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Contact &amp; Lead Management</span></span></p>\r\n<p class=\"align-left\">Add company and contact records, log sales activities automatically, and easily keep records up to date. See every interaction you've had with contacts, and use this data to build campaigns that close more deals.<br /><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Pipeline Management</span></span></p>\r\n<p class=\"align-left\">Add deals to your CRM with a single click, assign tasks to push deals forward, and track progress in your dashboards.<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\"></span></span></p>\r\n<p class=\"align-left\"><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Contact &amp; Company Insights</span></span></p>\r\n<p class=\"align-left\">Get insights your sales team will actually use by automatically pulling company details from our database of over 20 million businesses.<br /><span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Email Tracking</span></span><br />Know the second a lead opens an email, clicks a link, or downloads an attachment — then send a perfectly timed follow-up.<br /><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Email Templates &amp; Documents</span></span><br />Turn your most effective and repetitive sales emails into templates, and build a library of documents that you can access inside your inbox and share with your entire team.<br /><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Gmail &amp; Outlook Integration</span></span><br />Out-of-the-box integration with Gmail, G Suite, and Outlook or Office 365 for Windows. Access email templates, contact and company info, and more right inside your inbox.<br /><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Facebook &amp; Instagram Lead Ads</span></span><br />Create lead ads for Facebook or Instagram that automatically capture contact information and sync with your HubSpot account.<br /><span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Forms</span></span><br />Build mobile-optimized forms, pop-ups, banners, and slide-ins to convert visitors into leads, and add them to any web page.</p>\r\n<p class=\"align-left\"><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Contact Activity</span></span><br />See detailed interactions between a contact and your website in a single place, including page views, form submissions, sales activity, and more.<br /><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Meeting Scheduling</span></span><br />Create a scheduling link that you can share with prospects, giving them the power to book time on your sales team’s calendar.<br /><span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Live Chat &amp; Bots</span></span><br />Connect with website visitors in real time to convert new leads, close more deals, and provide better support to your customers. 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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. 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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). 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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. 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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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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. 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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. 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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. Here, you can listen for particular keywords and then respond to them accordingly - with answers, weblinks, images or a payment request.\r\n<span style=\"font-weight: bold;\">Cross-platform customer engagement</span>\r\nThe fantastic thing about Flow XO for Chat is that your customers can engage with you across every platform in a completely seamless way. For example, their first conversation may be via a web bot on your website, but as the dialogue continues they might want to use Facebook Messenger on their mobile device.","shortDescription":"Flow XO for Chat is our feature-rich chatbot platform that allows anyone to create code-free online chatbots (bots) quickly and easily.","type":null,"isRoiCalculatorAvaliable":false,"isConfiguratorAvaliable":false,"bonus":100,"usingCount":13,"sellingCount":3,"discontinued":0,"rebateForPoc":0,"rebate":0,"seo":{"title":"Flow XO for Chat","keywords":"","description":"Chatbots are a great way to greet new visitors to your website. 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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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Dictionaries are mined from the collective knowledge of the web and supply billions of entries, helping your model to correctly identify valuable information from user conversations.</p>\r\n<p><span style=\"font-weight: bold;\">Always learning and improving</span></p>\r\n<p>Active learning is used to continuously improve the quality of natural language models. Once the model starts processing input, LUIS begins active learning, allowing you to constantly update and improve the model.</p>\r\n<p><span style=\"font-weight: bold;\">Enterprise-ready, available worldwide</span></p>\r\n<p>The service is ready to be deployed in commercial applications and can scale with enterprise quality and performance. The service meets international compliance standards, supports 13 languages and available worldwide, making it highly accessible around the world.</p>","shortDescription":"A machine learning-based service to build natural language into apps, bots, and IoT devices. 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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). 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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. 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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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The platform also enables predictive and proactive support, leveraging product, customer lifecycle, and contextual triggers to anticipate needs and solve customer issues before they happen.\r\n<span style=\"font-weight: bold;\">Netomi</span> combines the best of the machine and human intelligence. The AI responds to the everyday support tickets, freeing up human agents to manage more complex tasks. 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Some chatbots use sophisticated natural language processing systems, but many simpler ones scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database.\r\nThe term &quot;ChatterBot&quot; was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs. Today, most chatbots are accessed via virtual assistants such as Google Assistant and Amazon Alexa, via messaging apps such as Facebook Messenger or WeChat, or via individual organizations' apps and websites. 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). 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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. 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Such programs are often designed to convincingly simulate how a human would behave as a conversational partner, although as of 2019, they are far short of being able to pass the Turing test. Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition. Some chatbots use sophisticated natural language processing systems, but many simpler ones scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database.\r\nThe term &quot;ChatterBot&quot; was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs. Today, most chatbots are accessed via virtual assistants such as Google Assistant and Amazon Alexa, via messaging apps such as Facebook Messenger or WeChat, or via individual organizations' apps and websites. 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. These cloud platforms provide Natural Language Processing, Artificial Intelligence and Mobile Backend as a Service for chatbot development.\r\nSome Companies like Microsoft Azure and AARC are currently providing their Bot Engines through which chatbot Platforms or Software can be developed.","materialsDescription":"New tools designed to simplify the interaction between humans and computers have hit the market: Chatbots or Virtual Assistants. 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. 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