{"id":18125,"date":"2019-02-12T09:36:35","date_gmt":"2019-02-12T09:36:35","guid":{"rendered":"\/docs\/bots\/bot-builder\/bot-intelligence\/"},"modified":"2022-10-03T16:22:13","modified_gmt":"2022-10-03T15:22:13","slug":"bot-intelligence","status":"publish","type":"post","link":"https:\/\/developer.kore.ai\/v10\/docs\/bots\/bot-intelligence\/bot-intelligence\/","title":{"rendered":"Intelligence Overview"},"content":{"rendered":"<p><span style=\"font-weight: 400\">The best, most memorable Virtual Assistants have conversation flows that feel natural and human-like. Natural conversations, however, often tend to go beyond the pre-defined and linear intent resolution paths that seem inherent in most VAs. To further complicate this, users often fail to follow a task to its logical conclusion before initiating another, which means that the VA must be able to guide the conversation in the new direction the user wants to go to achieve the desired result. i.e., without losing the original context of the conversation.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The Kore.ai XO Platform empowers your assistants to handle such nuances of human conversations, including interruptions, clarifications, and more.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Below is an overview of the intelligence management features available within the Kore.ai XO Platform.<\/span><\/p>\n<div class=\"w-separator size_small with_line width_default thick_1 style_solid color_border align_center\"><div class=\"w-separator-h\"><\/div><\/div>\n<h1><span class=\"ez-toc-section\" id=\"Dialog_Management\"><span style=\"font-weight: 400\">Dialog Management<\/span><\/span><\/h1>\n<p><span style=\"font-weight: 400\">Dialog management features include the following:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><strong>Handling of interruptions and context switching<\/strong><span style=\"font-weight: 400\"> \u2013 The Platform provides you with granular control over hold and resumes functionality at the VA, task, and node levels. <\/span><a href=\"https:\/\/developer.kore.ai\/v10\/docs\/bots\/bot-intelligence\/interruption-handling-context-switching-intents\/\"><span style=\"font-weight: 400\">more\u2026<\/span><\/a><\/li>\n<li style=\"font-weight: 400\"><strong>Allowing users to modify entity values<\/strong><span style=\"font-weight: 400\"> \u2013 Very often users would want to amend the entity values, you can ensure that the VA responds to such situations and control the post-amendment dialog behavior. <\/span><a href=\"https:\/\/developer.kore.ai\/v10\/docs\/bots\/bot-intelligence\/amend-entity\/\"><span style=\"font-weight: 400\">more\u2026<\/span><\/a><\/li>\n<li style=\"font-weight: 400\"><strong>Enabling the detection of multiple intents<\/strong><span style=\"font-weight: 400\"> \u2013 The ability of the NLP engine can be enhanced to detect and execute multiple intents identified in a single user utterance. <\/span><a href=\"https:\/\/developer.kore.ai\/v10\/docs\/bots\/bot-intelligence\/multi-intent-detection\/\"><span style=\"font-weight: 400\">more\u2026<\/span><\/a><\/li>\n<li style=\"font-weight: 400\"><strong>Ignoring some words from user utterances<\/strong><span style=\"font-weight: 400\"> \u2013\u00a0 When words and phrases in user input that are not helpful in task interpretation are marked, then VAs can respond faster to user input and improve the probability of correct task recognition.\u00a0 <\/span><a href=\"https:\/\/developer.kore.ai\/v10\/docs\/bots\/bot-builder-tool\/alert\/manage-intents-entities\/\"><span style=\"font-weight: 400\">more\u2026<\/span><\/a><\/li>\n<\/ul>\n<div class=\"w-separator size_small with_line width_default thick_1 style_solid color_border align_center\"><div class=\"w-separator-h\"><\/div><\/div>\n<h1><span class=\"ez-toc-section\" id=\"Context_Management\"><span style=\"font-weight: 400\">Context Management<\/span><\/span><\/h1>\n<p><span style=\"font-weight: 400\">Virtual Assistants are inherently stateless, but conversations between people can differ greatly based on their relationship and how much they know about each other. Because of this, as a developer, you struggle to keep track of different variables while maintaining the context and natural flow of a conversation.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Kore.ai allows you to capture and reuse contextual data for a large variety of scenarios, so you can create more complex use cases and redefine the enterprise customer experience.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">The Platform handles complex and diverse <\/span><strong>content switching<\/strong><span style=\"font-weight: 400\"> scenarios in an effective and efficient manner. You can enable or disable context switches and add conditional exceptions between tasks with the ability to pass contextual data between them. <\/span><a href=\"https:\/\/developer.kore.ai\/v10\/docs\/bots\/bot-intelligence\/context-management\/\"><span style=\"font-weight: 400\">More\u2026<\/span><\/a><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">When you create tasks, you can access <\/span><strong>session variables<\/strong><span style=\"font-weight: 400\"> provided by the Platform, or custom variables that you define, as well as the context that defines the scope of the variable. <\/span><a href=\"https:\/\/developer.kore.ai\/v10\/docs\/bots\/bot-builder-tool\/dialog-task\/using-session-and-context-variables-in-tasks\/\"><span style=\"font-weight: 400\">More\u2026<\/span><\/a><\/li>\n<\/ul>\n<div class=\"w-separator size_small with_line width_default thick_1 style_solid color_border align_center\"><div class=\"w-separator-h\"><\/div><\/div>\n<h1><span class=\"ez-toc-section\" id=\"Sentiment_Management\"><span style=\"font-weight: 400\">Sentiment Management<\/span><\/span><\/h1>\n<p><span style=\"font-weight: 400\">Trigger conditional flows and steer user-VA conversations with <\/span><a href=\"https:\/\/developer.kore.ai\/v10\/docs\/bots\/advanced-topics\/sentiment-management\/\"><span style=\"font-weight: 400\">sentiment analysis<\/span><\/a><span style=\"font-weight: 400\"> and <\/span><a href=\"https:\/\/developer.kore.ai\/v10\/docs\/bots\/advanced-topics\/working-with-tone-processing\/\"><span style=\"font-weight: 400\">tone processing<\/span><\/a><span style=\"font-weight: 400\">. Assistants built with Kore.ai analyze the emotional state of users and callers and model their response to provide excellent service.<\/span><\/p>\n<div class=\"w-separator size_small with_line width_default thick_1 style_solid color_border align_center\"><div class=\"w-separator-h\"><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>The best, most memorable Virtual Assistants have conversation flows that feel natural and human-like. Natural conversations, however, often tend to go beyond the pre-defined and linear intent resolution paths that seem inherent in most VAs. To further complicate this, users often fail to follow a task to its logical conclusion before initiating another, which means&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[47],"tags":[],"class_list":["post-18125","post","type-post","status-publish","format-standard","hentry","category-bot-intelligence"],"_links":{"self":[{"href":"https:\/\/developer.kore.ai\/v10\/wp-json\/wp\/v2\/posts\/18125","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/developer.kore.ai\/v10\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/developer.kore.ai\/v10\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/developer.kore.ai\/v10\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/developer.kore.ai\/v10\/wp-json\/wp\/v2\/comments?post=18125"}],"version-history":[{"count":10,"href":"https:\/\/developer.kore.ai\/v10\/wp-json\/wp\/v2\/posts\/18125\/revisions"}],"predecessor-version":[{"id":47436,"href":"https:\/\/developer.kore.ai\/v10\/wp-json\/wp\/v2\/posts\/18125\/revisions\/47436"}],"wp:attachment":[{"href":"https:\/\/developer.kore.ai\/v10\/wp-json\/wp\/v2\/media?parent=18125"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/developer.kore.ai\/v10\/wp-json\/wp\/v2\/categories?post=18125"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/developer.kore.ai\/v10\/wp-json\/wp\/v2\/tags?post=18125"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}