{"id":8949,"date":"2023-01-20T17:22:55","date_gmt":"2023-01-20T17:22:55","guid":{"rendered":"https:\/\/www.fotografiadereciennacido.com\/?p=8949"},"modified":"2023-04-02T12:27:29","modified_gmt":"2023-04-02T12:27:29","slug":"chatbots-that-get-smarter-by-greg-baker","status":"publish","type":"post","link":"https:\/\/www.fotografiadereciennacido.com\/index.php\/2023\/01\/20\/chatbots-that-get-smarter-by-greg-baker\/","title":{"rendered":"Chatbots that get smarter by Greg Baker"},"content":{"rendered":"<p>Perpetual learning is important for chatbots because they need to be able to learn from data. They need to understand new and updated human language to keep up with a conversation and understand customer inquiries. NLP can be used to make chatbots that can understand human conversations. It can be used to understand the meaning of words, identify the topic of a conversation, and determine the appropriate response to a question. A chatbot is a computer program that can simulate a human conversation.<\/p>\n<ul>\n<li>Google has improved its Google Assistant by making it independent of a network connection.<\/li>\n<li>Language nuances and speech patterns can be observed and replicated to produce highly realistic and natural interactions.<\/li>\n<li>More like, they are replacing the A in Artificial Intelligence with an H, which stands for Human!<\/li>\n<li>It\u2019ll only be a matter of time before other brands use the same method.<\/li>\n<li>Once the speech is analyzed, the chatbot can then respond accordingly.<\/li>\n<li>VentureBeat&#8217;s mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact.<\/li>\n<\/ul>\n<p>For incorporating linguistic context, conversations are embedded into a vector, which becomes a challenging objective to achieve. While integrating contextual data, location, time, date or details about users and other such data must be integrated with the chatbot. It is necessary because it isn\u2019t possible to code for every possible variable that a human might ask the chatbot. The process would be genuinely tedious and cumbersome to create a rule-based chatbot with the same level of understanding and intuition as an advanced AI chatbot.<\/p>\n<h2>Chatbots Are Going To Be the Next Big Thing in Customer Service<\/h2>\n<p>VentureBeat&#8217;s mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. In fact, acquisitions have become a regular occurrence in the space. Learn the critical role of AI &#038;  ML in cybersecurity and industry specific case studies. From overseeing the design of enterprise applications to solving problems at the implementation level, he is the go-to person for all things software.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"303px\" alt=\"designed\"\/><\/p>\n<p><a href=\"https:\/\/metadialog.com\/blog\/why-chatbots-are-smarter-than-humans\/\">why chatbots are smarter<\/a> recognition is done through the use of algorithms that analyze human speech. There are many types of voice recognition software that are used to make chatbots. NLP is a field of computer science that deals with the understanding and manipulation of human language. The next simplest are ordering bots, that control the conversation by never letting the user deviate from the approved conversational path. If you are ordering a pizza, the bot can ask you questions about toppings and sizes until it has everything it needs.<\/p>\n<h2>MORE ON CHATBOTS<\/h2>\n<p>There is a rich mine of research articles and a lot of well-understood best practice about how to do machine learning problems with natural language text. Good solutions have been found in support vector machines, LTSM architectures for deep neural networks, word2vec embedding of sentences. Chatbots, unlike humans do not need to sleep, socialize, etc. According to a Research, 64% of internet users feel that 24\/7 hour service is the best feature of the chatbots.<\/p>\n<ul>\n<li>Mycin helped humans by asking questions and then providing health status.<\/li>\n<li>Watson Assistant, built by IBM, is one of the most advanced chatbots on the market.<\/li>\n<li>Furthermore, if it doesn\u2019t understand it will ask for clarification or transfer the customer to a human representative.<\/li>\n<li>They are also a great way to ensure that your company keeps up with the latest trends and technologies, so you don\u2019t get left behind in this new era of customer service.<\/li>\n<li>Chatbots, unlike humans do not need to sleep, socialize, etc.<\/li>\n<li>Aibusiness.com needs to review the security of your connection before proceeding.<\/li>\n<\/ul>\n<p>Gamely, you go ahead, typing or telling the chatbot what you want. Several wayward linguistic volleys later, you give up in despair. \u00abIn the beginning, it was a little bit slower,\u00bb Myranda Crist, the university&#8217;s assistant director of recruitment and admissions, tells Axios. \u00abBut we didn&#8217;t have as much information on the back end. We couldn&#8217;t possibly anticipate all the questions. As there were more questions, it&#8217;s gotten more conversational.\u00bb They can even interpret the intent of a customer&#8217;s inquiry and analyze what&#8217;s transpiring during a chat session, explains Bern Elliot, a technology analyst at Gartner.<\/p>\n<h2>SOLUTIONS<\/h2>\n<p>Find critical answers and insights from your business data using AI-powered enterprise search technology. For example, if a user asks about tomorrow&#8217;s weather, a traditional chatbot can respond plainly whether it will rain. An AI chatbot, however, might also inquire if the user wants to set an earlier alarm to adjust for the longer morning commute . Chatbots and RPA bots are nothing new, but with the right approach existing technology can help solve daily challenges and tedious tasks. At the SAP hackathon, NTT DATA Business Solutions developed its solution in a short timeframe, relying on remote workers in three different countries, combining innovation with worker flexibility. Everything you need to know about the 14 most powerful platform for building custom chatbot for your business.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"308px\" alt=\"capabilities\"\/><\/p>\n<p>But, measuring this becomes a challenge as there is reliance on human judgment. Where the chatbot is built on an open domain model, it becomes increasingly difficult to judge whether the chatbot is performing its task. There is no specific goal attached to the chatbot to do that. Moreover, researchers have found that some of the metrics used in this case cannot be compared to human judgment.<\/p>\n<h2>What is an AI Chatbot?<\/h2>\n<p>They started by loading commonly asked questions and answers into a spreadsheet that Juji turned into a friendly chatbot. At the forefront for digital customer experience, Engati helps you reimagine the customer journey through engagement-first  solutions, spanning automation and live chat. So in a way, chatbots are the natural next step for search, whether that is on a website, an app or an intranet. The user can specify much more exact information than they could in a single search text field and thus the results the user receives will be of much higher quality. In many cases, chatbots will \u2013 after collecting the necessary input parameters from the user \u2013 trigger a regular search engine in the background to retrieve the information requested. This is done by sending a request to the search engine API, retrieving the answer back and formatting it for the user.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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With a little creativity and imagination, you can build a chatbot that reflects the tone of your brand and makes customers feel like they\u2019re talking to real people. They can be programmed with a brand\u2019s unique personality and taught to conduct specific tasks based on their business needs. They can even learn from previous interactions with customers to increase their efficiency over time. Therefore, smarter chatbots are making use of NLP, where developers are training most with predefined question and answer scenarios.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Perpetual learning is important for chatbots because they need to be able to learn from data. They need to understand new and updated human language to keep up with a conversation and understand customer inquiries. NLP can be used to make chatbots that can understand human conversations. It can be used to understand the meaning [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Chatbots that get smarter by Greg Baker<\/title>\n<meta name=\"description\" content=\"Perpetual learning is important for chatbots because they need to be able to learn from data. 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