This session will answer the following questions:
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= Session Themes and Topics=
* Theme: Defining our products, users and use cases
* Topic: How do we integrate Machine Learning into our products?
=Session Leader=
* Aaron Halfaker
=Description=
This session looks at the use of machine learning and other types of automated assessments in the MediaWiki ecosystem. We will identify use cases (current and future), and discuss how to integrate the generated assessments in to MediaWiki.
= Keep in mind: =
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= Desired Outcomes: =
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= Session Structure =
* **Define session scope, clarify desired outcomes, present agenda**
* Discuss Focus Areas
** Discuss and Adjust. ''Note that we are not trying to come to a final agreement, we are just prioritizing and assigning responsibilities!''
** For each proposition [add etherpad link here]
*** Decides whether there is (mostly) agreement or disagreement and the proposition(s).
*** Decide whether there is more need for discussion on the topic, and how urgent or important that is.
*** Identify any open questions that need answering from others, and from who (product, ops, etc)
*** Decides who will drive the further discussion/decision process (ie: a four month deadline)
* Discuss additional strategy questions [add etherpad link here]. For each question:
** Decide whether it is considered important.
** Discuss who should answer it.
** Decide who will follow up on it.
* **Wrap up**
= Resources: =
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**Session Leaders** please:
[] Add more details to this task description.
[] Coordinate any pre-event discussions (here on Phab, IRC, email, hangout, etc).
[] Outline the plan for discussing this topic at the event.
[] Optionally, include what it will //not// try to solve.
[] Update this task with summaries of any pre-event discussions.
[] Include ways for people not attending to be involved in discussions before the event and afterwards.
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Post-event Summary:
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Action items:
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