Benefits

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Quick Start on GCP: Get started swiftly with ready-to-use code and projects on Google Cloud Platform.

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Model Tracking: Utilize Managed Experiment Tracking and Model Registry services.

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Secure Model Publishing: Publish models securely on the Platform infrastructure.

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IAM Management: Manage roles and permissions at user and domain levels, or via service accounts.

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Environment Management: Handle multiple environments (dev, testing, staging, etc.) and monitor activities and changes.

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Blueprint Versioning: Efficiently manage blueprint versions.

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Automatic PR Updates: Stay updated with new versions (security patches).

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Security: Adhere to the least privilege principle for optimal security.

What are the benefits of the ML E2E Pipeline?

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Compliance and Transparency

Includes industry best practices as ready-to-use codes or templates, ensuring sustainable quality through seamless deployment on your infrastructure.

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Composable Business

Standardize workflows and develop models efficiently without compromising integration or risking lower ROI due to productization.

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Effortless Quality Assurance

Continual improvement and support by leveraging the blueprint repository of the Aliz Intelligence Platform to ensure technology is always current.

Technical Simplifications

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CI/CD

Customize the MLOps E2E blueprint template with out-of-the-box tests, formatting, linting, static type checking, and CI/CD pipelines.

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From Experimentation to Deployment

The MLOps E2E project blueprint covers all stages from experimentation to model deployment.

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API and Serving

Fully integrated with AIP’s experiment management, pipeline, and model-serving tools for a seamless experience.

MLOps E2E Pipeline
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