Out-of-the-box Machine Learning capabilities | Community
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consultingnyt18
consultingnyt18
January 27, 2021
Solved

Out-of-the-box Machine Learning capabilities

  • January 27, 2021
  • 2 replies
  • 1027 views

Hi everybody,

 

I was wondering what kind of Machine Learning capabilities come pre-configured with Adobe Analytics. Are there some ML options that require additional configuration? I'm trying to get a grasp as to whether this is more of a reporting tool, or a true analytics tool with built-in ML.

 

Thank you,

W

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Best answer by yuhuisg

The most obvious and common usage of ML in AA is anomaly detection. https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/virtual-analyst/anomaly-detection/anomaly-detection.html

If you use Attribution modelling a lot, then there's algorithmic attribution, which also uses ML: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/attribution/algorithmic.html

And then there's the Segment Comparison panel: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/panels/segment-comparison/segment-comparison.html

So Adobe's approach to ML is that it doesn't expose the inner workings of machine learning nor let you configure what the machine should learn. Rather, they have built out fully functional tools that take advantage of ML internally.

If you want to design your own ML, you'll need to work it out on your own, e.g. through a cloud service like Azure, AWS, GCP, etc.

2 replies

yuhuisg
Community Advisor
yuhuisgCommunity AdvisorAccepted solution
Community Advisor
January 28, 2021

The most obvious and common usage of ML in AA is anomaly detection. https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/virtual-analyst/anomaly-detection/anomaly-detection.html

If you use Attribution modelling a lot, then there's algorithmic attribution, which also uses ML: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/attribution/algorithmic.html

And then there's the Segment Comparison panel: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/panels/segment-comparison/segment-comparison.html

So Adobe's approach to ML is that it doesn't expose the inner workings of machine learning nor let you configure what the machine should learn. Rather, they have built out fully functional tools that take advantage of ML internally.

If you want to design your own ML, you'll need to work it out on your own, e.g. through a cloud service like Azure, AWS, GCP, etc.

    jantzen_b
    Adobe Employee
    jantzen_bAdobe Employee
    Adobe Employee
    February 1, 2021
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