More changes

Author: npentrel

docs/data-ai/ai/create-dataset.md

@@ -38,12 +38,12 @@ Follow the guide to configure a [webcam](/operate/reference/components/camera/we
 
 ## Create a dataset
 
-To create a dataset, use the Viam CLI or Viam:
+To create a dataset, use the CLI or the web UI:
 
 {{< tabs >}}
 {{% tab name="Viam app" %}}
 
-1. Open the [**DATASETS** tab on the **DATA** page](https://app.viam.com/data/datasets) of Viam.
+1. Open the [**DATASETS** tab on the **DATA** page](https://app.viam.com/data/datasets).
 
 1. Click the **+ Create dataset** button.
 
@@ -76,7 +76,7 @@ To create a dataset, use the Viam CLI or Viam:
 {{< tabs >}}
 {{% tab name="One image" %}}
 
-You can add images to a dataset directly from a camera or vision component feed in the **CONTROL** or **CONFIGURATION** tabs of Viam.
+You can add images to a dataset directly from a camera or vision component feed in the machine's **CONTROL** or **CONFIGURATION** tabs.
 
 To add an image directly to a dataset from a visual feed, complete the following steps:
 
@@ -87,7 +87,7 @@ To add an image directly to a dataset from a visual feed, complete the following
 1. Click **Add** to add the image to the selected dataset.
 1. When you see a success notification that reads "Saved image to dataset", you have successfully added the image to the dataset.
 
-To view images added to your dataset, go to the **DATA** page's [**DATASETS** tab](https://app.viam.com/data/datasets) in Viam and select your dataset.
+To view images added to your dataset, go to the **DATA** page's [**DATASETS** tab](https://app.viam.com/data/datasets) and select your dataset.
 
 {{% /tab %}}
 {{% tab name="Many images" %}}
@@ -196,7 +196,7 @@ Repeat these steps for all images in the dataset.
 {{< tabs >}}
 {{% tab name="Viam app" %}}
 
-1. Open the [**DATA** page](https://app.viam.com/data/view) of Viam.
+1. Open the [**DATA** page](https://app.viam.com/data/view).
 
 1. Navigate to the **ALL DATA** tab.
 

docs/data-ai/ai/deploy.md

@@ -73,11 +73,11 @@ Save your config to use your specified version of the ML model.
 
 ## How the ML model service works
 
-The service works with models trained inside and outside Viam:
+The service works with models trained on Viam or elsewhere:
 
 - You can [train TFlite](/data-ai/ai/train-tflite/) or [other model frameworks](/data-ai/ai/train/) on data from your machines.
-- You can use [ML models](https://app.viam.com/registry?type=ML+Model) from the [Viam Registry](https://app.viam.com/registry).
-- You can upload externally trained models from a model file on the [**MODELS** tab](https://app.viam.com/models) in the **DATA** section of Viam.
+- You can use [ML models](https://app.viam.com/registry?type=ML+Model) from the [registry](https://app.viam.com/registry).
+- You can upload externally trained models from a model file on the [**MODELS** tab](https://app.viam.com/models).
 - You can use a [model](/data-ai/ai/deploy/#deploy-your-ml-model-on-an-ml-model-service) trained outside the Viam platform whose files are on your machine. See the documentation of the model of ML model service you're using (pick one that supports your model framework) for instructions on this.
 
 On its own the ML model service only runs the model.

docs/data-ai/ai/train.md

@@ -18,7 +18,7 @@ date: "2024-12-04"
 ---
 
 You can create custom Python training scripts that train machine learning models to your specifications using PyTorch, TensorFlow, TFLite, ONNX, or any other ML framework.
-Once you upload a training script to the [Viam Registry](https://app.viam.com/registry?type=Training+Script), you can use it to build ML models in the Viam Cloud based on your datasets.
+Once you upload a training script to the [registry](https://app.viam.com/registry?type=Training+Script), you can use it to build ML models in the Viam Cloud based on your datasets.
 
 You can also use training scripts that are in the registry already.
 If you wish to do this, skip to [Submit a training job](#submit-a-training-job).
@@ -772,7 +772,7 @@ You can view uploaded training scripts by navigating to the [registry's **Traini
 
 ## Submit a training job
 
-After uploading the training script, you can run it by submitting a training job through Viam or using the Viam CLI or [ML Training client API](/dev/reference/apis/ml-training-client/#submittrainingjob).
+After uploading the training script, you can run it by submitting a training job using the web UI, the CLI or the [ML Training client API](/dev/reference/apis/ml-training-client/#submittrainingjob).
 
 {{< table >}}
 {{% tablestep number=1 %}}

docs/data-ai/data/export.md

@@ -2,7 +2,7 @@
 linkTitle: "Export data"
 title: "Export data"
 weight: 40
-description: "Download data from Viam using the data client API or the Viam CLI."
+description: "Download data from Viam using the data client API or the CLI."
 type: "docs"
 tags: ["data management", "cloud", "sync"]
 icon: true
@@ -43,7 +43,7 @@ To export your data from the cloud using the Viam CLI:
 {{% tablestep number=1 %}}
 **Filter the data you want to download**
 
-Navigate to the [**DATA** page in Viam](https://app.viam.com/data/view).
+Navigate to the [**DATA**](https://app.viam.com/data/view).
 
 Use the filters on the left side of the page to filter only the data you wish to export.
 
@@ -66,7 +66,7 @@ Run the copied command in a terminal:
 viam data export --org-ids=<org-id> --data-type=<binary|tabular> --mime-types=<mime types> --destination=.
 ```
 
-This command uses the Viam CLI to download the data onto your computer based on the search criteria you select in Viam.
+This command uses the Viam CLI to download the data onto your computer based on the search criteria you select in the web UI.
 
 By default, the command creates two new directories named `data` and `metadata` in the current directory and downloads the specified data into the `data` folder and metadata, like bounding box information and labels, in JSON format into the `metadata` folder.
 If you want to store the data in a different location, change the specified folder with the [`--destination` flag](/dev/tools/cli/#named-arguments).

docs/data-ai/data/query.md

@@ -27,7 +27,7 @@ You can then run queries against that data to search for outliers or edge cases,
 
 - **MQL**: Viam also supports the [MongoDB Query language](https://www.mongodb.com/docs/manual/tutorial/query-documents/) for querying captured data from MQL-compatible clients such as `mongosh` or MongoDB Compass.
 
-## Query data on Viam
+## Query data in the web UI
 
 ### Prerequisites
 

docs/data-ai/data/visualize.md

@@ -14,7 +14,7 @@ aliases:
 viamresources: ["sensor", "data_manager"]
 platformarea: ["data", "fleet"]
 date: "2024-12-04"
-description: "Use teleop or grafana to visualize sensor data from Viam."
+description: "Use teleop or grafana to visualize sensor data."
 ---
 
 Once you have used the data management service to [capture data](/data-ai/capture-data/capture-sync/), you can visualize your data on a dashboard with the Viam app's **TELEOP** page or a variety of third-party tools, including Grafana, Tableau, Google's Looker Studio, and more.
@@ -41,7 +41,7 @@ See [configure a machine](/operate/get-started/supported-hardware/) for more inf
 {{% tablestep number=1 %}}
 **Create a workspace on Viam**
 
-Log in to the [Viam app](https://app.viam.com/).
+Log in to [Viam](https://app.viam.com/).
 
 Navigate to the **FLEET** page's **TELEOP** tab.
 Create a workspace by clicking **+ Create workspace**.
@@ -266,7 +266,7 @@ See the [guide on querying data](/data-ai/data/query/) for more information.
 
 For more detailed instructions on using Grafana, including a full step-by-step configuration walkthrough, see [visualizing data with Grafana](/tutorials/services/visualize-data-grafana/).
 
-On top of visualizing sensor data with third-party tools, you can also [query it with the Python SDK](/dev/reference/apis/data-client/) or [query it on Viam](/data-ai/data/query/).
+On top of visualizing sensor data with third-party tools, you can also [query it with the Python SDK](/dev/reference/apis/data-client/) or [query it in the web UI](/data-ai/data/query/).
 
 To see full projects using visualization, check out these resources:
 

docs/dev/reference/apis/billing-client.md

@@ -33,7 +33,7 @@ You will also need an API key and API key ID to authenticate your session.
 Your API key needs to have [Org owner permissions](/manage/manage/rbac/#organization-settings-and-roles) to use the billing client API.
 To get an API key (and corresponding ID), you have two options:
 
-- [Create an API key on Viam](/operate/control/api-keys/#add-an-api-key)
+- [Create an API key in the web UI](/operate/control/api-keys/#add-an-api-key)
 - [Create an API key using the Viam CLI](/dev/tools/cli/#create-an-organization-api-key)
 
 The following example instantiates a `ViamClient`, authenticating with an API key, and then instantiates a `BillingClient`:

docs/dev/reference/apis/components/generic.md

@@ -16,7 +16,7 @@ The generic API allows you to give commands to your [generic components](/operat
 
 {{% alert title="Example usage" color="tip" %}}
 
-See [Deploy control logic](/manage/software/control-logic/) for an example of how to use the generic component API, including how to call `DoCommand()` from the Viam SDKs or from Viam.
+See [Deploy control logic](/manage/software/control-logic/) for an example of how to use the generic component API, including how to call `DoCommand()` from the SDKs or the web UI.
 
 {{% /alert %}}
 

docs/dev/reference/apis/data-client.md

@@ -49,7 +49,7 @@ To use the Viam data client API, you first need to instantiate a `ViamClient` an
 You will also need an API key and API key ID to authenticate your session.
 To get an API key (and corresponding ID), you have two options:
 
-- [Create an API key on Viam](/operate/control/api-keys/#add-an-api-key)
+- [Create an API key in the web UI](/operate/control/api-keys/#add-an-api-key)
 - [Create an API key using the Viam CLI](/dev/tools/cli/#create-an-organization-api-key)
 
 The following example instantiates a `ViamClient`, authenticating with an API key, and then instantiates a `DataClient`:

docs/dev/reference/apis/fleet.md

@@ -48,7 +48,7 @@ To use the Viam fleet management API, you first need to instantiate a `ViamClien
 You will also need an API key and API key ID to authenticate your session.
 To get an API key (and corresponding ID), you have two options:
 
-- [Create an API key on Viam](/operate/control/api-keys/#add-an-api-key)
+- [Create an API key in the web UI](/operate/control/api-keys/#add-an-api-key)
 - [Create an API key using the Viam CLI](/dev/tools/cli/#create-an-organization-api-key)
 
 The following example instantiates a `ViamClient`, authenticating with an API key, and then instantiates an `AppClient`:
@@ -135,10 +135,10 @@ You can use the module environment variables `VIAM_API_KEY` and `VIAM_API_KEY_ID
 
 To copy the ID of your machine {{< glossary_tooltip term_id="part" text="part" >}}, select the part status dropdown to the right of your machine's location and name on the top of its page and click the copy icon next to **Part ID**:
 
-{{<imgproc src="/build/program/data-client/grab-part-id.png" resize="1000x" class="shadow imgzoom" style="width: 500px" declaredimensions=true alt="Part ID displayed on Viam.">}}
+{{<imgproc src="/build/program/data-client/grab-part-id.png" resize="1000x" class="shadow imgzoom" style="width: 500px" declaredimensions=true alt="Part ID displayed in the web UI.">}}
 
 ## Find machine ID
 
 To copy the ID of your {{< glossary_tooltip term_id="machine" text="machine" >}}, click the **...** (Actions) button in the upper-right corner of your machine's page, then click **Copy machine ID**:
 
-{{<imgproc src="/fleet/app-usage/copy-machine-id.png" resize="1000x" class="shadow imgzoom" style="width: 500px" declaredimensions=true alt="Machine ID in the actions dropdown on Viam.">}}
+{{<imgproc src="/fleet/app-usage/copy-machine-id.png" resize="1000x" class="shadow imgzoom" style="width: 500px" declaredimensions=true alt="Machine ID in the actions dropdown in the web UI.">}}