Cutting Across Adobe Experience Products with Machine Learning to Elevated User Experience

Making users more effective and content

Cleaning huge data sets with machine learning

A clear road map to production

Resources

  1. Adobe Consulting Services Adobe Consulting Services
  2. Adobe Experience Cloud — https://www.adobe.com/experience-cloud.html
  3. Adobe Analytics — https://www.adobe.com/dk/analytics/adobe-analytics.html
  4. Adobe Campaign — https://www.adobe.io/apis/experiencecloud/campaign.html
  5. Adobe Target — https://www.adobe.com/dk/marketing/target.html
  6. Adobe Experience Platform — https://www.adobe.com/experience-platform.html
  7. Net promoter score — https://blogs.adobe.com/digitaleurope/customer-experience/using-net-promoter-score-in-a-customer-experience-management-program/
  8. Customer Advisory Board (CAB) — https://theblog.adobe.com/3-ways-to-get-more-from-your-customer-validation-program/
  9. Machine learning — https://www.adobe.com/sensei.html

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Experience Technologist. Currently Director of Developer Content Engine for DataStax. Former Developer Advocate for Adobe Experience Platform. Twitter: @jaeness

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Jaemi Bremner

Jaemi Bremner

Experience Technologist. Currently Director of Developer Content Engine for DataStax. Former Developer Advocate for Adobe Experience Platform. Twitter: @jaeness

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