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https://issues.apache.org/jira/browse/BEAM-9421?focusedWorklogId=404815&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-404815
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ASF GitHub Bot logged work on BEAM-9421:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 17/Mar/20 15:54
            Start Date: 17/Mar/20 15:54
    Worklog Time Spent: 10m 
      Work Description: soyrice commented on pull request #11075: [BEAM-9421] 
Website section that describes getting predictions using AI Platform Prediciton
URL: https://github.com/apache/beam/pull/11075#discussion_r393783135
 
 

 ##########
 File path: website/src/documentation/patterns/overview.md
 ##########
 @@ -38,6 +38,9 @@ Pipeline patterns demonstrate common Beam use cases. 
Pipeline patterns are based
 **Custom window patterns** - Patterns for windowing functions
 * [Using data to dynamically set session window gaps]({{ site.baseurl 
}}/documentation/patterns/custom-windows/#using-data-to-dynamically-set-session-window-gaps)
 
+**AI Platform integration patterns** - Patterns for Google AI Platform 
transforms
 
 Review comment:
   Use the full service name here: "Patterns for using the Google Cloud AI 
Platform Prediction"
   
   Make sure the the service name is consistent throughout the pattern. I 
noticed that sometimes it's "Google Cloud AI Platform Prediction service", 
"Google Cloud AI Platform Prediction", etc.
   
   I'd recommend using the full service name ("Google Cloud AI Platform 
Prediction") the first time its mentioned. Then, refer to the service with the 
shorthand "AI Platform Prediction". This way, you can use some shorthand but 
there's no ambiguity about the name of service.
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 404815)
    Time Spent: 4h 50m  (was: 4h 40m)

> AI Platform pipeline patterns
> -----------------------------
>
>                 Key: BEAM-9421
>                 URL: https://issues.apache.org/jira/browse/BEAM-9421
>             Project: Beam
>          Issue Type: Sub-task
>          Components: website
>            Reporter: Kamil Wasilewski
>            Assignee: Kamil Wasilewski
>            Priority: Major
>              Labels: pipeline-patterns
>          Time Spent: 4h 50m
>  Remaining Estimate: 0h
>
> New pipeline patterns should be contributed to the Beam's website in order to 
> demonstrate how newly implemented Google Cloud AI PTransforms can be used in 
> pipelines.



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