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Optimize and Seamlessly Deploy Your Models

Be the bridge between data engineering and data science by optimizing and implementing the models in the production environment.

Benefits For ML Engineers

Leverage a unified Operational AI platform that not only powers analytics and machine learning but also powers real-time applications. Optimize model performance by minimizing data movement and latency. Develop complete visibility into the model deployment process.

Key Splice Machine Benefits

Run Your Models at Optimum Level

A Machine Learning model needs to be constantly monitored in order to ensure that its performance is meeting the accuracy threshold. One of...

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Effectively Manage the Model Lifecycle From From Test to Production

Use familiar languages including R, Python, PySpark, and Scala to fine-tune the model to make it more robust and ensure that it runs...

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Seamlessly Deploy Your Trained Model Into Production

Majority of the effort in implementing machine learning projects is not related to writing the code for the model but rather in developing...

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