

Run AI applications in production
Managed TensorFlow Extended (TFX)
platform

Ingest from any data source
- Read data from any cloud environment or on-premise
- Validate data for missing features
- Take into account data drift using anomaly detection

Process Data
- Perform scalable preprocessing of the data to handle any training dataset size
- Use TensorFlowTransform (TFT) to define the preprocessing operations
- Avoid training/serving skew

Train and deploy models anywhere
- Train models on any scale
- Validate models automatically before deploying them
- Deploy models in any cloud or on the edge
Making perpetual ML deployment
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