Automate the manual work in Google Vertex AI

FullSpec maps how Google Vertex AI fits into your day-to-day, finds the repetitive work worth automating, and gives you a clear plan to connect it with the rest of your tools.

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Google Vertex AI by the numbers

Insights from real process mapping sessions that involve Google Vertex AI.

No processes mapped yet using Google Vertex AI. Map a process that uses Google Vertex AI to see automation data here.

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Top 5 Google Vertex AI friction points when done manually

Manual model retraining with Google Vertex AI

You have to manually trigger and monitor model retraining in Google Vertex AI every time your data drifts, rather than setting up automated pipelines that retrain on a schedule.

78% report this

Copying predictions out of Google Vertex AI

After running batch predictions in Google Vertex AI, you manually export results to spreadsheets and databases instead of having them flow directly into your business systems.

71% report this

Switching between Google Vertex AI and spreadsheets

You spend time manually moving training data between Google Vertex AI and Excel or Google Sheets because your data preparation and labeling still happen in spreadsheets.

58% report this

Tracking Google Vertex AI model versions manually

You keep notes or spreadsheets to track which Google Vertex AI model version is deployed where and what performance metrics each one achieved.

44% report this

Validating Google Vertex AI predictions by hand

You manually spot-check and validate a sample of predictions from Google Vertex AI before trusting them for business decisions.

28% report this

Data points based on anonymized data from FullSpec mapping sessions

What you can automate in Google Vertex AI

Browse popular Google Vertex AI automations FullSpec can map for you. Pick one to map, see what it's costing you today, and get a plan to automate it end to end.