{"id":13622,"date":"2024-10-07T08:31:46","date_gmt":"2024-10-07T12:31:46","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13622"},"modified":"2024-10-07T08:31:46","modified_gmt":"2024-10-07T12:31:46","slug":"generative-ai-use-case-using-llms-to-score-customer-conversations","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/generative-ai-use-case-using-llms-to-score-customer-conversations\/13622\/","title":{"rendered":"Generative AI Use Case: Using LLMs to Score Customer Conversations"},"content":{"rendered":"Originally published in the Monte Carlo blog, July 15 2024. Despite all the talk about AI replacing humans, Skynet blowing up the sun, and deep-fake celebrities parenting our children, it\u2019s difficult to point to a generative AI use case that\u2019s demonstrably more interesting than your average run-of-the-mill chatbot. But what if instead of replacing customer support teams with chatbots, we could leverage AI to improve the performance of real human CS teams? That\u2019s exactly the problem that AssuranceIQ attempted to solve with its first foray into enterprise generative AI. We recently spoke with Killian Farrell, Principal Data Scientist <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/generative-ai-use-case-using-llms-to-score-customer-conversations\/13622\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in the Monte Carlo blog, July 15 2024. Despite all the talk about AI replacing humans, Skynet blowing up the sun, and deep-fake celebrities parenting our children, it\u2019s difficult to point to a generative AI use case that\u2019s demonstrably more interesting than your average run-of-the-mill chatbot. But what if instead of replacing customer [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-13622","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13622","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/78"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13622"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13622\/revisions"}],"predecessor-version":[{"id":13626,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13622\/revisions\/13626"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13622"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13622"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13622"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}