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Merge pull request #6870 from segmentio/recommendation-audiences-nf
Recommendation Audiences nutrition facts
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‎src/_data/sidenav/main.yml

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title: Generative Audiences Nutrition Facts Label
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- path: '/engage/audiences/recommendation-audiences'
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title: Recommendation Audiences
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- path: '/engage/audiences/recommendation-audiences-nutrition-label'
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title: Recommendation Audiences Nutrition Facts Label
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- path: '/engage/audiences/organization'
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title: Organize Audiences
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- path: '/engage/audiences/send-audience-data'

‎src/_includes/content/recommendation-audiences-nutrition-facts.html

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<html>
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<p class="c11"><span class="c7"></span></p><a id="t.454197d3f7d8252a28377abc8231c14367b7f8e7"></a><a id="t.0"></a>
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<table class="c2"><tr class="c5">
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<td class="c28" colspan="1" rowspan="1">
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<p class="c14"><span class="c25">AI Nutrition Facts</span>
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<br />
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<br />
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<span class="c0">Customer AI Recommendations</span></p>
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</td>
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</tr><tr class="c4">
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<td class="c26" colspan="1" rowspan="1">
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<p class="c10"><span class="c8">Description</span>
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<br />
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<br />
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<span class="c1">CustomerAI Recommendations lets customers improve marketing campaigns by segmenting users based on preferences like product, category, or brand to automate the creation and maintenance of personalized recommendations for businesses in the retail, media, and entertainment industries. </span></p>
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</td>
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</tr>
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<tr class="c4">
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<td class="c6" colspan="1" rowspan="1"><p class="c10"><span class="c13">Privacy Ladder Level </span>
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<span class="c0 nf-right-align">2</span></p>
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</td>
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</tr>
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<tr class="c4">
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<td class="c6" colspan="1" rowspan="1"><p class="c10">
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<span class="c13">Feature is Optional</span>
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<span class="c0 nf-right-align" >Yes</span></p>
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</td>
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</tr><tr class="c4">
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<td class="c6" colspan="1" rowspan="1"><p class="c10"><span class="c13">Model Type </span>
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<span class="c12 c15 nf-right-align">Predictive </span></p>
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</td>
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</tr>
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<tr class="c4">
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<td class="c6" colspan="1" rowspan="1"><p class="c10"><span class="c13">Base Model </span>
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<span class="c12 c15 nf-right-align">AWS Personalize - Hierarchical recurrent neural network</span></p>
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</td>
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</tr>
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<tr class="c4">
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<td class="c6 c19" colspan="1" rowspan="1"><p class="c10"><span class="c13 c27">Trust Ingredients</span></p>
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</td>
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</tr>
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<tr class="c4">
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<td class="c6" colspan="1" rowspan="1">
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<p class="c10"><span class="c13">Base Model Trained with Customer Data</span>
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<span class="c0 nf-right-align">N/A</span></p>
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</td>
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</tr>
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<tr class="c4">
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<td class="c6" colspan="1" rowspan="1"><p class="c10"><span class="c13">Customer Data is Shared with Model Vendor</span>
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<span class="c0 nf-right-align">No</span> </p>
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</td>
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</tr>
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<tr class="c4">
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<td class="c6" colspan="1" rowspan="1"><p class="c10"><span class="c13">Training Data Anonymized &nbsp; </span>
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<span class="c0 nf-right-align"> No</span></p>
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</td>
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</tr>
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<tr class="c4">
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<td class="c6" colspan="1" rowspan="1"><p class="c10"><span class="c13">Data Deletion</span>
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<span class="c0 nf-right-align">Yes</span></p>
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</td>
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</tr>
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<tr class="c4">
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<td class="c6" colspan="1" rowspan="1"><p class="c14"><span class="c13">Human in the Loop </span>
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<span class="c0 nf-right-align">N/A</span></p>
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</td>
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</tr>
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<tr class="c4">
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<td class="c6" colspan="1" rowspan="1"><p class="c10"><span class="c13">Data Retention </span>
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<span class="c22 nf-right-align">30 days</span></p>
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</td>
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</tr>
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<tr class="c4">
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<td class="c6" colspan="1" rowspan="1"><span class="c8">Compliance &nbsp; &nbsp; </span><br />
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<span class="c13 nf-indent">Logging &amp; Auditing </span>
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<span class="c0 nf-right-align">Yes</span><br />
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<span class="c13 nf-indent">Guardrails</span>
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<span class="c0 nf-right-align">N/A</span>
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</td>
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</tr>
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<tr class="c4">
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<td class="c6" colspan="1" rowspan="1"><p class="c10"><span class="c13">Input/Output Consistency</span>
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<span class="c0 nf-right-align">N/A</span></p>
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</td>
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</tr>
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<tr class="c4">
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<td class="c9" colspan="1" rowspan="1"><p class="c10"><span class="c8">Other Resources</span></p>
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</td>
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</tr>
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</table>
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</html>

‎src/engage/audiences/recommendation-audiences-nutrition-label.md

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---
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title: Recommendation Audiences Nutrition Facts Label
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plan: engage-foundations
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---
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Twilio’s [AI Nutrition Facts](https://nutrition-facts.ai/){:target="_blank"} provide an overview of the AI feature you’re using, so you can better understand how the AI is working with your data. Twilio outlines AI qualities in Recommendation Audiences in the Nutrition Facts label below. For more information, including the AI Nutrition Facts label glossary, refer to the [AI Nutrition Facts](https://nutrition-facts.ai/){:target="_blank"} page.
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{% include content/recommendation-audiences-nutrition-facts.html %}

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