Product Tour
Here's a tour of our product UI!
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Here's a tour of our product UI!
Last updated
Was this helpful?
When you log in to View AI, you are on the Home page, where you can visualize all dashboards across all your projects and workspaces. Click the "+" to start a new analysis.
Direct Upload: You can upload files directly from your computer. This is done by clicking on the upload area where you can select files from your local system.
Data Connection: If your data is stored in a cloud data warehouse, you can connect by selecting this option. This will require you to enter credentials to securely access the data. You can see the supported connectors here:
Google BigQuery
Salesforce
SAP
Explainable AI dashboards are interactive interfaces that visualize the performance and inner workings of machine learning models. They offer insights into how the model makes decisions, how it's trained, and how it's performing on current data.
The main goal of these dashboards is to promote transparency and understanding of AI systems. They provide a platform for users and stakeholders to see the impact of the model's predictions and its usefulness in solving real-world problems. You can access the:
Copilot: This helps users to see the relationships between features, explore the data, and understand how the model makes predictions using natural language queries.
Interpretability techniques: These are methods for explaining how the model arrived at a prediction. View AI includes feature importance, decision paths, feature attributions and what-if/counterfactual analysis.
"Dashboards in this team" displays everything your team is working on. You can see all your team's dashboards here in one place.
Recent Boards: This is where you’ll see the dashboards you've worked on most recently, so you can pick up right where you left off without having to search for them.
Starred Boards: If you have go-to dashboards you frequently check, star them for quick access here, kind of like how you might pin frequently used datasets or scripts in your development environment.
Workspaces in ViewAI are dedicated environments where teams can organize and manage their data analysis projects.
Creating a New Workspace: Select the "+" in the far left side bar to create a new workspace.
Inviting Team Members: Click "invite members" at the top. Enter your teammates' emails to bring them into the workspace.
Projects in View AI serve as dedicated buckets for organizing and managing your machine learning workflows. By grouping related dashboards into a project, your team can collaborate efficiently allowing you to share easily.
If you already have your own model, View AI supports explaining blackbox models or even pipelines. Alternatively, if you are looking to build new models, View AI trains interpretable models tailored to your specific needs.
Performance metrics: These are numerical measures of how well the model is performing. They can include accuracy, precision, recall, F1 score, and .
↪ Questions? Chat with an AI or talk to a .
