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Bring your machine-learning applications to production

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Project Management and CI/CD Automation

Log all data, models and artifacts and track all code execution

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Ingest & Process

Read and transform data from batch and online data stores

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Train

Train models at scale with automated testing functions

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Deploy

Deploy real-time pipelines for data collection, model serving and monitoring

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Monitor

Automate model monitoring and drift detection

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Elastic serverless runtimes & Function Hub

Turn your Python code to composable functions, that can run at scale on Kubernetes, Dask, and Horovod in a single command. Leverage a function marketplace to accelerate your model development process

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Real-time and offline feature store & data connector

Deploy real-time pipelines for data collection, model serving and monitoring

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Built-in Integrations