{"id":527,"date":"2022-02-08T16:51:04","date_gmt":"2022-02-08T16:51:04","guid":{"rendered":"https:\/\/auisys.com\/nlu\/?p=527"},"modified":"2022-02-08T16:51:05","modified_gmt":"2022-02-08T16:51:05","slug":"when-machines-meet-conversations","status":"publish","type":"post","link":"https:\/\/auisys.com\/nlu\/when-machines-meet-conversations\/","title":{"rendered":"When Machines Meet Conversations!"},"content":{"rendered":"\n
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To say that human conversations are complex is an understatement.  Our communication prowess depends on where we learnt a language, our teachers, our educational level, and other factors.  More complexity arises when conversations involves persuasion, negotiation, and other threads involving a back and forth exchange – that must be tracked.<\/p>\n\n\n\n

Thankfully, common knowledge<\/a> possessed by humans is a critical prop to understanding a conversation.  For example, a customer quickly grasps a contact center agent\u2019s pitch to offer a telecom plan at a competitive price.  At this point the customer may negotiate and receive a counter offer.  Both parties are aware of negotiation as a process.  Here is a sample of a real conversational exchange.<\/p>\n\n\n\n

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If machines could similarly and accurately understand contextual detail it would amplify productivity at contact centers.  For example, a supervisor of customer service agents could instantly obtain a granular analyses of sub optimal product pitches \u2013 automatically for all conversations – and help her team members improve performance.<\/p>\n\n\n\n

Machines have struggled to understand<\/a> such conversations because current language engines typically depend on keyword-type searches for identification of language patterns.  However, the emergence of knowledge-based A.I.<\/a> and its application to Natural Language Understanding (NLU) has made it possible to accurately understand a complete, complex conversation.<\/p>\n\n\n\n

AUI Systems<\/a> is applying this knowledge-based NLU accurately to conversations to identify risk, improve customer experience, and increase revenue at contact centers.  We\u2019ll delve deeper in Part 2 of this article.<\/p>\n","protected":false},"excerpt":{"rendered":"

To say that human conversations are complex is an understatement.  Our communication prowess depends on where we learnt a language, our teachers, our educational level, and other factors.  More complexity arises when conversations involves persuasion, negotiation, and other threads involving a back and forth exchange – that must be tracked. Thankfully, common knowledge possessed by … Continue reading “When Machines Meet Conversations!”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":529,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false},"categories":[1],"tags":[],"authors":[{"term_id":16,"user_id":2,"is_guest":0,"slug":"harpal","display_name":"Harpal Parmar"}],"_links":{"self":[{"href":"https:\/\/auisys.com\/nlu\/wp-json\/wp\/v2\/posts\/527"}],"collection":[{"href":"https:\/\/auisys.com\/nlu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/auisys.com\/nlu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/auisys.com\/nlu\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/auisys.com\/nlu\/wp-json\/wp\/v2\/comments?post=527"}],"version-history":[{"count":4,"href":"https:\/\/auisys.com\/nlu\/wp-json\/wp\/v2\/posts\/527\/revisions"}],"predecessor-version":[{"id":534,"href":"https:\/\/auisys.com\/nlu\/wp-json\/wp\/v2\/posts\/527\/revisions\/534"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/auisys.com\/nlu\/wp-json\/wp\/v2\/media\/529"}],"wp:attachment":[{"href":"https:\/\/auisys.com\/nlu\/wp-json\/wp\/v2\/media?parent=527"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/auisys.com\/nlu\/wp-json\/wp\/v2\/categories?post=527"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/auisys.com\/nlu\/wp-json\/wp\/v2\/tags?post=527"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}