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Update from source repository (workflow run: 24358235526) (PR #17098) (commit: 75c77fb980043e096b1a7d638be7fc6f0fd15ba8) (branch: 26.5.0.cl)
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cloud/modules/ROOT/pages/notes.adoc

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@@ -328,9 +328,10 @@ The share experience enhancement is now in Early Access. ThoughtSpot introduces
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#Spotter Memory# [.badge.badge-early-access-relnotes]#Early Access#::
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// Naomi. docs jira: SCAL-300551
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// PM: Anant. lay out process, add video.
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Spotter can now learn from your conversations and apply that knowledge in future sessions. If you correct a result or define a term — for example, telling Spotter that "active users" means users with at least three sessions — it remembers that rule and uses it automatically going forward. Contact your administrator to enable this feature.
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Spotter can now build its own memory to improve answer quality over time. Memory can be generated in two ways:
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#Learn from Liveboards# [.badge.badge-early-access-relnotes]#Early Access#:: Spotter can now learn from Liveboards tied to a data model. It reads the insights your team has already built, picks up the rules and Q&A patterns behind them, and uses that context to answer questions on the same Model more accurately. To enable this feature, contact your administrator.
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Learn from conversation::: If you have coaching access, anything you ask Spotter to remember is saved as a rule and applied to future sessions. For example, telling Spotter that "active users" means users with at least three sessions.
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Learn from Liveboard::: Generate memory from your trusted Liveboards, capturing the business rules and query patterns behind your visualisations.
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For more information, see xref:spotter-liveboard-learn.adoc[Liveboard Memory].
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