research and production are the same. write code once, no recoding. leverage the same assets in research and production without changes minimize migration code changes.
Transition from your batch processing model to a streaming data approach with a serverless, event-driven architecture.
Get up and running quickly with managed services that work right out of the box, and keep the tools you already use across your entire tech stack.
Streamline data science production by orchestrating and automating everything from data collection and preparation to training and deployment.
Share all features across your organization to save valuable time, and maintain a consistent feature set between the training and serving layer.
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Scale up on-demand, leverage realtime features, and automate each step of the machine learning pipeline with high throughput and low latency.
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