[DOCS] Updating references in AI Suites

Author: sgolebiewski-intel

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/pallet-defect-detection/get-started/deploy-with-edge-orchestrator.md

@@ -14,9 +14,7 @@ Edge Orchestrator, part of Intel’s Edge Software, simplifies edge application
 
 To deploy the **Pallet Defect Detection** Sample Application with the Edge Orchestrator, follow the steps described in this document.
 
-## Deploy with Edge Orchestrator
-
-### Prerequisites
+## Prerequisites
 
 1. Access to the web interface of the Edge Orchestrator with one or more [edge nodes onboarded](https://docs.openedgeplatform.intel.com/edge-manage-docs/dev/user_guide/set_up_edge_infra/edge_node_onboard/index.html) to the Edge Orchestrator.
 

metro-ai-suite/deterministic-threat-detection/README.md

@@ -34,6 +34,7 @@ To ensure synchronized operations across all devices, every machine in the syste
 An aggregation node collects the MQTT messages and calculates the end-to-end latency. To demonstrate the impact of Time-Sensitive Networking (TSN), background traffic is introduced into the network. By enabling TSN features, the system showcases how TSN guarantees consistent and deterministic latency for critical data streams, even under network congestion.
 
 ### Components
+
 - **DL Streamer Pipeline Server (VA Pipeline):** Processes video frames, extracts metadata, and integrates AI inference results.
 - **Live Camera Streaming:** A network camera streams video to the edge compute node.
 - **Camera Frame Capture + AI Inference:** Captures video frames, performs AI inference, and publishes results with PTP timestamps.
@@ -42,14 +43,14 @@ An aggregation node collects the MQTT messages and calculates the end-to-end lat
 - **MQTT Aggregator:** Subscribes to MQTT topics, collects data, and visualizes end-to-end latency.
 - **Traffic Injector:** A machine that generates best-effort background traffic using iperf to demonstrate the impact of congestion on latency-sensitive workloads.
 
-
 ## Learn More
+
 - [Get Started](./docs/user-guide/get-started.md): For detailed instructions on how to set up the environment and run the demonstration.
-- [How to Configure PTP](./docs/user-guide/how-to-configure-ptp.md): For step-by-step guidance on setting up Precision Time Protocol (PTP) for time synchronization across devices.
-- [MOXA TSN Switch Configuration](./docs/user-guide/how-to-configure-moxa-switch.md): For instructions on configuring the MOXA TSN switch for the first time.
-- [Enable TSN Traffic Shaping on MOXA Switch](./docs/user-guide/how-to-enable-tsn-traffic-shaping.md): For details on how to enable IEEE 802.1Qbv (Time-Aware Shaper) on the MOXA switch to prioritize critical traffic.
-- [Run RTSP Camera Capture and AI Inference](./docs/user-guide/how-to-run-rtsp-camera-and-ai-inference.md): For details on how to set up and run the RTSP camera capture and AI inference pipelines.
-- [Run Sensor Data Producer](./docs/user-guide/how-to-run-sensor-data-producer.md): For instructions on how to set up and run the sensor data producer that generates telemetry data.
-- [Run MQTT Aggregator and Visualization](./docs/user-guide/how-to-run-mqtt-aggregator-and-visualization.md): For details on how to set up and run the MQTT aggregator that collects data and visualizes latency measurements.
-- [Inject Background Traffic with iperf](./docs/user-guide/how-to-run-traffic-injector.md): For instructions on how to use iperf to generate best-effort background traffic to demonstrate the impact of congestion on latency-sensitive workloads.
+- [How to Configure PTP](./docs/user-guide/how-to-guides/configure-ptp.md): For step-by-step guidance on setting up Precision Time Protocol (PTP) for time synchronization across devices.
+- [MOXA TSN Switch Configuration](./docs/user-guide/how-to-guides/configure-moxa-switch.md): For instructions on configuring the MOXA TSN switch for the first time.
+- [Enable TSN Traffic Shaping on MOXA Switch](./docs/user-guide/how-to-guides/enable-tsn-traffic-shaping.md): For details on how to enable IEEE 802.1Qbv (Time-Aware Shaper) on the MOXA switch to prioritize critical traffic.
+- [Run RTSP Camera Capture and AI Inference](./docs/user-guide/how-to-guides/run-rtsp-camera-and-ai-inference.md): For details on how to set up and run the RTSP camera capture and AI inference pipelines.
+- [Run Sensor Data Producer](./docs/user-guide/how-to-guides/run-sensor-data-producer.md): For instructions on how to set up and run the sensor data producer that generates telemetry data.
+- [Run MQTT Aggregator and Visualization](./docs/user-guide/how-to-guides/run-mqtt-aggregator-and-visualization.md): For details on how to set up and run the MQTT aggregator that collects data and visualizes latency measurements.
+- [Inject Background Traffic with iperf](./docs/user-guide/how-to-guides/run-traffic-injector.md): For instructions on how to use iperf to generate best-effort background traffic to demonstrate the impact of congestion on latency-sensitive workloads.
 - [Release Notes](./docs/user-guide/release-notes.md): For information on new features, improvements, and bug fixes in each release of the project.