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    <title>topic Adobe Summit 2019 | L773 - Part Human, Part Machine Learning, All-Powerful Analyst in Adobe Analytics Discussions</title>
    <link>https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/adobe-summit-2019-l773-part-human-part-machine-learning-all/m-p/309991#M2307</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="Summit2018.jpg"&gt;&lt;img src="https://experienceleaguecommunities.adobe.com/t5/image/serverpage/image-id/15941i8F6C2C164CACBE30/image-size/large?v=v2&amp;amp;px=999" role="button" title="Summit2018.jpg" alt="Summit2018.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;H1&gt;Lab Details&lt;/H1&gt;&lt;P&gt;Join forces with your machine-learning features in Adobe Analytics to solve the biggest mysteries in your data. Adobe Sensei powered tools, like anomaly detection, contribution analysis, and intelligent alerts, can save the day and save you countless hours of work. With Adobe Analytics, you can uncover hidden opportunities in your data and become a true analytics superhero. In this lab:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Highlights:&lt;/H3&gt;&lt;UL&gt;&lt;LI&gt;Learn how to discover unexpected changes in your data, determine the likely culprit, and set up customized alerts on the data streams most important to you&lt;/LI&gt;&lt;LI&gt;Walk through real-world scenarios illustrating how to use machine learning and artificial intelligence in your analysis&lt;/LI&gt;&lt;LI&gt;Review common pitfalls to avoid to ensure that you get the best insights from your data&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Speaker(s)&lt;/H3&gt;&lt;P&gt;&lt;SPAN class="speaker-trigger" data-test="speaker-trigger"&gt;John Bates&lt;/SPAN&gt;, Director - Product Management, Adobe&lt;/P&gt;&lt;P&gt;&lt;SPAN class="speaker-trigger" data-test="speaker-trigger"&gt;Chris Challis&lt;/SPAN&gt;, Manager, Data Sciences, Adobe&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Session Length&lt;/H3&gt;&lt;P&gt;1h 30m&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H1&gt;Digital Lab Manual&lt;/H1&gt;&lt;P&gt;&lt;A href="https://expleague.azureedge.net/labs/L773/index.html" title="https://expleague.azureedge.net/labs/L773/index.html"&gt;Experience League Intelligent Guidance | Adobe&lt;/A&gt; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H1&gt;Q&amp;amp;A&lt;/H1&gt;&lt;P&gt;Please use this thread to ask the question related to this lab.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 05 Feb 2019 18:34:39 GMT</pubDate>
    <dc:creator>jantzen_b</dc:creator>
    <dc:date>2019-02-05T18:34:39Z</dc:date>
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      <title>Adobe Summit 2019 | L773 - Part Human, Part Machine Learning, All-Powerful Analyst</title>
      <link>https://experienceleaguecommunities.adobe.com/t5/adobe-analytics-discussions/adobe-summit-2019-l773-part-human-part-machine-learning-all/m-p/309991#M2307</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="Summit2018.jpg"&gt;&lt;img src="https://experienceleaguecommunities.adobe.com/t5/image/serverpage/image-id/15941i8F6C2C164CACBE30/image-size/large?v=v2&amp;amp;px=999" role="button" title="Summit2018.jpg" alt="Summit2018.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;H1&gt;Lab Details&lt;/H1&gt;&lt;P&gt;Join forces with your machine-learning features in Adobe Analytics to solve the biggest mysteries in your data. Adobe Sensei powered tools, like anomaly detection, contribution analysis, and intelligent alerts, can save the day and save you countless hours of work. With Adobe Analytics, you can uncover hidden opportunities in your data and become a true analytics superhero. In this lab:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Highlights:&lt;/H3&gt;&lt;UL&gt;&lt;LI&gt;Learn how to discover unexpected changes in your data, determine the likely culprit, and set up customized alerts on the data streams most important to you&lt;/LI&gt;&lt;LI&gt;Walk through real-world scenarios illustrating how to use machine learning and artificial intelligence in your analysis&lt;/LI&gt;&lt;LI&gt;Review common pitfalls to avoid to ensure that you get the best insights from your data&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Speaker(s)&lt;/H3&gt;&lt;P&gt;&lt;SPAN class="speaker-trigger" data-test="speaker-trigger"&gt;John Bates&lt;/SPAN&gt;, Director - Product Management, Adobe&lt;/P&gt;&lt;P&gt;&lt;SPAN class="speaker-trigger" data-test="speaker-trigger"&gt;Chris Challis&lt;/SPAN&gt;, Manager, Data Sciences, Adobe&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H3&gt;Session Length&lt;/H3&gt;&lt;P&gt;1h 30m&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H1&gt;Digital Lab Manual&lt;/H1&gt;&lt;P&gt;&lt;A href="https://expleague.azureedge.net/labs/L773/index.html" title="https://expleague.azureedge.net/labs/L773/index.html"&gt;Experience League Intelligent Guidance | Adobe&lt;/A&gt; &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;H1&gt;Q&amp;amp;A&lt;/H1&gt;&lt;P&gt;Please use this thread to ask the question related to this lab.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 05 Feb 2019 18:34:39 GMT</pubDate>
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      <dc:creator>jantzen_b</dc:creator>
      <dc:date>2019-02-05T18:34:39Z</dc:date>
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