From 5d68f4bda4be9d216eebdd78791d1f9113e1e218 Mon Sep 17 00:00:00 2001
From: dedemorton <dede.morton@elastic.co>
Date: Tue, 19 Nov 2024 16:43:18 -0800
Subject: [PATCH] Update IDs

---
 docs/en/serverless/index.asciidoc                             | 2 +-
 docs/en/serverless/machine-learning/machine-learning.asciidoc | 2 +-
 docs/en/serverless/observability-overview.asciidoc            | 4 ++--
 .../quickstarts/monitor-hosts-with-elastic-agent.asciidoc     | 2 +-
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/en/serverless/index.asciidoc b/docs/en/serverless/index.asciidoc
index 0095573463..16e8d0e1bf 100644
--- a/docs/en/serverless/index.asciidoc
+++ b/docs/en/serverless/index.asciidoc
@@ -197,7 +197,7 @@ include::./ai-assistant/ai-assistant.asciidoc[leveloffset=+2]
 
 //Machine learning
 
-include::./machine-learning/aiops.asciidoc[leveloffset=+2]
+include::./machine-learning/machine-learning.asciidoc[leveloffset=+2]
 include::./machine-learning/aiops-detect-anomalies.asciidoc[leveloffset=+3]
 include::./machine-learning/aiops-tune-anomaly-detection-job.asciidoc[leveloffset=+4]
 include::./machine-learning/aiops-forecast-anomaly.asciidoc[leveloffset=+4]
diff --git a/docs/en/serverless/machine-learning/machine-learning.asciidoc b/docs/en/serverless/machine-learning/machine-learning.asciidoc
index fb7c4da6b2..cedd3bcf5b 100644
--- a/docs/en/serverless/machine-learning/machine-learning.asciidoc
+++ b/docs/en/serverless/machine-learning/machine-learning.asciidoc
@@ -10,7 +10,7 @@
 
 preview:[]
 
-The AIOps capabilities available in {obs-serverless} enable you to consume and process large observability data sets at scale, reducing the time and effort required to detect, understand, investigate, and resolve incidents.
+The machine learning capabilities available in {obs-serverless} enable you to consume and process large observability data sets at scale, reducing the time and effort required to detect, understand, investigate, and resolve incidents.
 Built on predictive analytics and {ml}, our AIOps capabilities require no prior experience with {ml}.
 DevOps engineers, SREs, and security analysts can get started right away using these AIOps features with little or no advanced configuration:
 
diff --git a/docs/en/serverless/observability-overview.asciidoc b/docs/en/serverless/observability-overview.asciidoc
index f27d9b70c3..eff2a742d4 100644
--- a/docs/en/serverless/observability-overview.asciidoc
+++ b/docs/en/serverless/observability-overview.asciidoc
@@ -136,7 +136,7 @@ image::images/cases.png[Screenshot showing list of cases]
 
 [discrete]
 [[observability-serverless-observability-overview-aiops]]
-== AIOps
+== Machine learning and AIOps
 
 Reduce the time and effort required to detect, understand, investigate, and resolve incidents at scale
 by leveraging predictive analytics and machine learning:
@@ -148,4 +148,4 @@ by leveraging predictive analytics and machine learning:
 [role="screenshot"]
 image::images/log-rate-analysis.png[Log rate analysis page showing log rate spike ]
 
-<<observability-aiops,Learn more about AIOps →>>
+<<observability-machine-learning,Learn more about machine learning and AIOps →>>
diff --git a/docs/en/serverless/quickstarts/monitor-hosts-with-elastic-agent.asciidoc b/docs/en/serverless/quickstarts/monitor-hosts-with-elastic-agent.asciidoc
index 25d709cd67..a737f14c86 100644
--- a/docs/en/serverless/quickstarts/monitor-hosts-with-elastic-agent.asciidoc
+++ b/docs/en/serverless/quickstarts/monitor-hosts-with-elastic-agent.asciidoc
@@ -119,7 +119,7 @@ You can also:
 ** <<observability-monitor-datasets,Monitor log data set quality>> to find degraded documents.
 ** <<observability-run-log-pattern-analysis,Run a pattern analysis>> to find patterns in unstructured log messages.
 ** <<observability-alerting,Create alerts>> that notify you when an Observability data type reaches or exceeds a given value.
-* Use <<observability-aiops,AIOps features>> to apply predictive analytics and machine learning to your data:
+* Use <<observability-machine-learning,machine learning and AIOps features>> to apply predictive analytics and machine learning to your data:
 +
 ** <<observability-aiops-detect-anomalies,Detect anomalies>> by comparing real-time and historical data from different sources to look for unusual, problematic patterns.
 ** <<observability-aiops-analyze-spikes,Analyze log spikes and drops>>.