Supercharge Business Performance with Machine Learning Management

With Seldon Deploy, your business can efficiently deploy, manage and monitor ML, resulting in minimised risk, and greater understanding of how your ML models impact decisions and business processes. Meaning you know your team has done its due diligence while boosting performance.

Learn how organisations are deploying, managing and monitoring models with Seldon Deploy

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Deploying models faster and at scale whilst minimising risk empowers Data Scientists to drive their organisation’s biggest goals

of organisations are using machine learning for critical business problems

faster business growth when powered with AI

higher average profit margins

Supercharge ML Management

Serve, manage and manipulate models and workflows securely through an intuitive user interface, hosted either on premise or in the cloud.

Front end deployment of models, explainers and canaries offer huge time savings throughout the development process and enhanced collaboration across the business.
Teams have complete control over model deployment and management workflows, allowing hurdles to be removed.
Platform-agnostic and language agnostic means you can build and deploy ML models your way.
Test new models against historical data before running in production.

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Monitor ML Models in Production

Continuous monitoring of data with model metrics detects when data drifts or changes unexpectedly.

Dashboards and metrics offer more confidence in the performance of models through enhanced visibility and understanding of MLOps.
Model management, monitoring and alerting tools give developers a faster feedback loop, so they can improve future iterations more quickly.
Deployment strategies such as canary and AB testing mean models are constantly optimised and you can be confident the best performing model is running.

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Minimise Risk

Seldon allows your stakeholders to understand why a model is performing the way it is. Having the right information at the right time allows you to answer to internal auditors and external regulators more quickly, and avoid non-compliance fines through successful model governance.

Understand model behavior and influences, and audit your model when it begins to become less effective.
Holistic monitoring allows insight across the organisation.
Ensure full accountability and traceability across all models.
Integrated compliance capabilities help you to keep models within risk requirements.

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