Tetra Data & AI Workspace helps you colocate your replatformed and engineered scientific data with analysis applications, and then correlate analysis results through Tetra Data Apps—all while maintaining a source of record in the Tetra Scientific Data and AI Cloud.

By using the Tetra Data & AI Workspace, you can do any of the following:

• Visualize and analyze scientific data to generate analysis results
• Verify the data as part of the automated scientific workflow
• Easily associate primary data with analysis output
• Annotate scientific data to support AI/ML model training
• Generate predictions and performance AI/ML model inference and continuous learning

Access the Data & AI Workspace Page

To access the Data & AI Workspace page, do the following:

1. Sign in to the Tetra Data Platform (TDP).
2. In the left navigation menu, choose Data & AI Workspace. The Data & AI Workspace page appears.

Data & AI Workspace Tabs

The Data & AI Workspace page has four tabs:

• Dashboard shows all running apps in your organization, including their Running or Starting status.
• Gallery shows what apps are available and provides a search bar as well as the option to filter apps by namespace.
• + Create App provides a step-by-step guide to build and publish your own self-service Data App. For more information about creating your own apps, see Self-Service Data Apps in the TetraConnect Hub.
• Providers shows your organization's external data sources that have been set up to connect to Data Apps.

Start a New Data & AI Workspace Session

To start a new Data & AI Workspace session for a Tetra Data App, do the following:

1. Open the Data & AI Workspace page.
2. Select the app that you want to use from the Dashboard tab. The configured Data App appears. Linked Data Apps appear in a separate tab in your browser, outside of the TDP. Embedded Data Apps appear within your workspace session within the TDP.

Working With Tetra Data Apps

There are two main types of Tetra Data Apps:

• Embedded Data Apps run in the cloud and are configured for SaaS application streaming back to the TDP. TetraScience provides many pre-built Embedded Data Apps. You can also create your own custom self-service Data Apps.
• Linked Data Apps run as external SaaS applications outside of the Tetra Data Platform (TDP).

Your organization's analysis software determines the Data App type that you use. To configure and manage Tetra Data Apps for an organization, see Tetra Data Apps.

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NOTE

The Tetra Data & AI Workspace and Tetra Data Apps don't use artificial intelligence (AI) or machine learning (ML) natively. Instead, both features support AI/ML model training in third-party applications that run outside of the TDP. For Embedded Data Apps based on Streamlit, TetraScience has the ability to create Python code and make it available to customers through the TDP. In the future, code may be created to help integrate customers' Tetra Data with AI/ML models on third-party applications. However, customers can't modify this code, and any code developed in this way must first go through our ISO 9001-certified Quality Management System and software development lifecycle.

Documentation Feedback

Do you have questions about our documentation or suggestions for how we can improve it? Start a discussion in TetraConnect Hub. For access, see Access the TetraConnect Hub.

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NOTE

Feedback isn't part of the official TetraScience product documentation. TetraScience doesn't warrant or make any guarantees about the feedback provided, including its accuracy, relevance, or reliability. All feedback is subject to the terms set forth in the TetraConnect Hub Community Guidelines.