[
https://issues.apache.org/jira/browse/GEARPUMP-30?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15255313#comment-15255313
]
Kam Kasravi commented on GEARPUMP-30:
-------------------------------------
1. related to deploying analytics at the edge with an in depth discussion of
the type of ML model and how edge deployment facilitates its ability to
predict.
2. related to reusing a ML pipeline in training and then in production
underscoring the potential of reusable DAGs, especially if we can show reuse
across differing data schema's.
> Track call for papers submissions, talks and upcoming CFP's somewhere
> ----------------------------------------------------------------------
>
> Key: GEARPUMP-30
> URL: https://issues.apache.org/jira/browse/GEARPUMP-30
> Project: Apache Gearpump
> Issue Type: Improvement
> Reporter: Kam Kasravi
> Assignee: Kam Kasravi
> Priority: Minor
>
> We can probably put this on the website including slides that were used for
> the talk (or a pointer to the talk)
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
