> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.umnai.com/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.umnai.com/_mcp/server.

# Sign in and explore the dashboard

Sign in to the platform, review the dashboard and configure a storage connector for an Amazon S3 bucket. The connector stores the external bucket reference used to retrieve source data during schema creation and ingestion.

## Before you begin

* Have your platform email address and password ready.

## Sign in

1. Open the platform sign-in page provided for your environment.

2. Enter your email address in **Email**.

3. Enter your password in **Password**.

4. Select **Sign in**. After authentication, the dashboard opens.

The sign-in page also provides **Forgot password?** and **Request access** links.

![Sign in with your email address and password](/_fern-files/_img/c4f5a78bac29a3bb47b58118079d51e824ae05fbff5d60e04b61df2cf796c795.webp)

## Read the dashboard

The dashboard presents summary cards and a **Select Active Model** area. The values shown depend on the data and models available in your environment.

| **Card**       | **Information shown**                       |
| -------------- | ------------------------------------------- |
| Total Datasets | A count with the label Connected sources    |
| Trained Models | A count with the label XNN models           |
| Deployments    | A count with the label Active endpoints     |
| Active Jobs    | A count with the label Training in progress |

The **Select Active Model** area lists model entries with status labels such as **RUNNING** and **FAILED**.

![Dashboard summary cards and model status entries](/_fern-files/_img/a4a374ba90d257e5cbf8cfcf2a002e4258d3086219aed002cdd0398be802f3fe.webp)

Use the left navigation to move between **Data Lab** for storage and data, **Model Lab** for model configuration and training, **Serving** for deployed models, and **Explanation Lab** for explanations. To configure storage, select **Storage Connectors** under **Data Lab**.

## Next steps

Continue to [Storage connectors](/ui-guides/setup/storage-connectors).