Connect Microsoft Excel and Google Vertex AI to unlock the power of automation

You can integrate Microsoft Excel with Google Vertex AI using our automation platform, which allows you to set up triggers and actions. For instance, a trigger could be a new row added in Excel, with an action set to feed that data into a pre-trained model in Vertex AI for analysis.

When you update or add a row in an Excel spreadsheet, these changes can act as triggers. Subsequently, an action such as initiating a prediction request to Google Vertex AI can automatically occur.

Yes, by setting up a trigger based on modifications or additions to your Excel data, predictions can be automated within Google Vertex AI. The processed results from the model prediction can also update back into your Excel sheet if defined.

Our platform provides specific features like connection setup through API keys and workflow designs that automate the movement of datasets. It empowers users to define how and when data should move from MS Excel to train models or generate predictions within Google Vertex AI.

Yes, our integration supports running multiple processes where various spreadsheets can serve as distinct triggers for different actions. This means you could run independent model analyses simultaneously based on different datasets contained within separate Excel files.

Generally, textual and numerical data types are supported when sending information from Excel to Google Vertex AI. However, ensure your dataset aligns with the input requirements for the specific models used in Vertex AI for seamless processing.

In cases where there are errors during the integration process—such as mismatches in expected input formats or connectivity issues—our setup allows for notifications and logs detailing the root cause, enabling easy troubleshooting and resolution.