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	<id>https://all.docs.genesys.com/index.php?action=history&amp;feed=atom&amp;title=CE40%2FCanonical</id>
	<title>CE40/Canonical - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://all.docs.genesys.com/index.php?action=history&amp;feed=atom&amp;title=CE40%2FCanonical"/>
	<link rel="alternate" type="text/html" href="https://all.docs.genesys.com/index.php?title=CE40/Canonical&amp;action=history"/>
	<updated>2026-04-10T05:01:00Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.31.1</generator>
	<entry>
		<id>https://all.docs.genesys.com/index.php?title=CE40/Canonical&amp;diff=110394&amp;oldid=prev</id>
		<title>Ed.jamer@genesys.com: Text replacement - &quot;Genesys Cloud&quot; to &quot;Genesys Cloud CX&quot;</title>
		<link rel="alternate" type="text/html" href="https://all.docs.genesys.com/index.php?title=CE40/Canonical&amp;diff=110394&amp;oldid=prev"/>
		<updated>2021-11-09T21:28:41Z</updated>

		<summary type="html">&lt;p&gt;Text replacement - &amp;quot;Genesys Cloud&amp;quot; to &amp;quot;Genesys Cloud CX&amp;quot;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revision as of 21:28, November 9, 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l7&quot; &gt;Line 7:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 7:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;{{SMART Canonical&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;{{SMART Canonical&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|PlatformChallenge=With the adoption of AI-driven voice assistants like Alexa and Siri, consumers expect more conversational interactions — but traditional IVR prompts use logic constrained to a fixed set of responses. If their responsesaren’t recognized, customers will end up frustrated with the experience and longer hold times.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|PlatformChallenge=With the adoption of AI-driven voice assistants like Alexa and Siri, consumers expect more conversational interactions — but traditional IVR prompts use logic constrained to a fixed set of responses. If their responsesaren’t recognized, customers will end up frustrated with the experience and longer hold times.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|PlatformSolution=Give your customers the freedom to speak in their own words. With the Amazon Lex integration, you can easily build a voicebot with natural language understanding (NLU) right in your Genesys Cloud IVR. Your customers can speak naturally, and you can quickly understand their intent and better route the call.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|PlatformSolution=Give your customers the freedom to speak in their own words. With the Amazon Lex integration, you can easily build a voicebot with natural language understanding (NLU) right in your Genesys Cloud &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;CX &lt;/ins&gt;IVR. Your customers can speak naturally, and you can quickly understand their intent and better route the call.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|BuyerPersonas=Head of Contact Center(s), Head of Customer Experience, Head of Customer Service&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|BuyerPersonas=Head of Contact Center(s), Head of Customer Experience, Head of Customer Service&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|QualifyingQuestions=# Do you want to increase automation on voice channels and decrease interactions that need a live agent?​&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|QualifyingQuestions=# Do you want to increase automation on voice channels and decrease interactions that need a live agent?​&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Ed.jamer@genesys.com</name></author>
		
	</entry>
	<entry>
		<id>https://all.docs.genesys.com/index.php?title=CE40/Canonical&amp;diff=56630&amp;oldid=prev</id>
		<title>WikiSysop: Text replacement - &quot;PureCloud&quot; to &quot;Genesys Cloud&quot;</title>
		<link rel="alternate" type="text/html" href="https://all.docs.genesys.com/index.php?title=CE40/Canonical&amp;diff=56630&amp;oldid=prev"/>
		<updated>2020-07-15T12:05:12Z</updated>

		<summary type="html">&lt;p&gt;Text replacement - &amp;quot;PureCloud&amp;quot; to &amp;quot;Genesys Cloud&amp;quot;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revision as of 12:05, July 15, 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l7&quot; &gt;Line 7:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 7:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;{{SMART Canonical&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;{{SMART Canonical&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|PlatformChallenge=With the adoption of AI-driven voice assistants like Alexa and Siri, consumers expect more conversational interactions — but traditional IVR prompts use logic constrained to a fixed set of responses. If their responsesaren’t recognized, customers will end up frustrated with the experience and longer hold times.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|PlatformChallenge=With the adoption of AI-driven voice assistants like Alexa and Siri, consumers expect more conversational interactions — but traditional IVR prompts use logic constrained to a fixed set of responses. If their responsesaren’t recognized, customers will end up frustrated with the experience and longer hold times.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;−&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|PlatformSolution=Give your customers the freedom to speak in their own words. With the Amazon Lex integration, you can easily build a voicebot with natural language understanding (NLU) right in your &lt;del class=&quot;diffchange diffchange-inline&quot;&gt;PureCloud &lt;/del&gt;IVR. Your customers can speak naturally, and you can quickly understand their intent and better route the call.&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;+&lt;/td&gt;&lt;td style=&quot;color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|PlatformSolution=Give your customers the freedom to speak in their own words. With the Amazon Lex integration, you can easily build a voicebot with natural language understanding (NLU) right in your &lt;ins class=&quot;diffchange diffchange-inline&quot;&gt;Genesys Cloud &lt;/ins&gt;IVR. Your customers can speak naturally, and you can quickly understand their intent and better route the call.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|BuyerPersonas=Head of Contact Center(s), Head of Customer Experience, Head of Customer Service&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|BuyerPersonas=Head of Contact Center(s), Head of Customer Experience, Head of Customer Service&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|QualifyingQuestions=# Do you want to increase automation on voice channels and decrease interactions that need a live agent?​&lt;/div&gt;&lt;/td&gt;&lt;td class='diff-marker'&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|QualifyingQuestions=# Do you want to increase automation on voice channels and decrease interactions that need a live agent?​&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>WikiSysop</name></author>
		
	</entry>
	<entry>
		<id>https://all.docs.genesys.com/index.php?title=CE40/Canonical&amp;diff=36623&amp;oldid=prev</id>
		<title>Bgrenon: 1 revision imported</title>
		<link rel="alternate" type="text/html" href="https://all.docs.genesys.com/index.php?title=CE40/Canonical&amp;diff=36623&amp;oldid=prev"/>
		<updated>2020-03-26T15:34:38Z</updated>

		<summary type="html">&lt;p&gt;1 revision imported&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;1&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;1&quot; style=&quot;background-color: #fff; color: #222; text-align: center;&quot;&gt;Revision as of 15:34, March 26, 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-notice&quot; lang=&quot;en&quot;&gt;&lt;div class=&quot;mw-diff-empty&quot;&gt;(No difference)&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;</summary>
		<author><name>Bgrenon</name></author>
		
	</entry>
	<entry>
		<id>https://all.docs.genesys.com/index.php?title=CE40/Canonical&amp;diff=36622&amp;oldid=prev</id>
		<title>smart_wiki&gt;PLeprieult at 14:32, October 21, 2019</title>
		<link rel="alternate" type="text/html" href="https://all.docs.genesys.com/index.php?title=CE40/Canonical&amp;diff=36622&amp;oldid=prev"/>
		<updated>2019-10-21T14:32:54Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{SMART Meta&lt;br /&gt;
|SolutionCategory=CE&lt;br /&gt;
|Solution=Self-Service and Automation&lt;br /&gt;
|Title=Genesys Bots with Amazon Lex&lt;br /&gt;
|Subtitle=Use Amazon Lex to provide natural language understanding in your IVR&lt;br /&gt;
}}&lt;br /&gt;
{{SMART Canonical&lt;br /&gt;
|PlatformChallenge=With the adoption of AI-driven voice assistants like Alexa and Siri, consumers expect more conversational interactions — but traditional IVR prompts use logic constrained to a fixed set of responses. If their responsesaren’t recognized, customers will end up frustrated with the experience and longer hold times.&lt;br /&gt;
|PlatformSolution=Give your customers the freedom to speak in their own words. With the Amazon Lex integration, you can easily build a voicebot with natural language understanding (NLU) right in your PureCloud IVR. Your customers can speak naturally, and you can quickly understand their intent and better route the call.&lt;br /&gt;
|BuyerPersonas=Head of Contact Center(s), Head of Customer Experience, Head of Customer Service&lt;br /&gt;
|QualifyingQuestions=# Do you want to increase automation on voice channels and decrease interactions that need a live agent?​&lt;br /&gt;
# Do you want to reduce agent handle time and improve first contact resolution?​&lt;br /&gt;
# Do you have an AI strategy?​&amp;lt;br /&amp;gt;​&amp;lt;br /&amp;gt;&lt;br /&gt;
|DataSheetImage=CE40 - genesys bots with amazon lex - header (2).png&lt;br /&gt;
}}&lt;br /&gt;
{{SMART Benefits&lt;br /&gt;
|CanonicalBenefitID=Improved Customer Experience&lt;br /&gt;
|CanonicalBenefit=Reduce frustratingly rigid keyword&lt;br /&gt;
prompts and serve customers&lt;br /&gt;
faster to improve NPS.&lt;br /&gt;
}}&lt;br /&gt;
{{SMART Benefits&lt;br /&gt;
|CanonicalBenefitID=Reduced Interaction Transfers&lt;br /&gt;
|CanonicalBenefit=With effective self-service, fewer&lt;br /&gt;
interactions require agent&lt;br /&gt;
assistance or transfers.&lt;br /&gt;
}}&lt;br /&gt;
{{SMART Benefits&lt;br /&gt;
|CanonicalBenefitID=Improved First Contact Resolution&lt;br /&gt;
|CanonicalBenefit=Provide a viable self-service option&lt;br /&gt;
to solve common requests with the&lt;br /&gt;
first interaction.&lt;br /&gt;
}}&lt;/div&gt;</summary>
		<author><name>smart_wiki&gt;PLeprieult</name></author>
		
	</entry>
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