Pipeline Orchestration

Name: Machine Learning Pipeline Orchestration
Brand: Iguazio
Rating: 5 (3 reviews)

Manage your workflow end-to-end using a user-friendly environment, featuring fully integrated workflow management, experiment tracking and AutoML tools

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Automated and Scalable
Pipeline Orchestration

Consume MLRun, the scalable open source pipeline orchestration framework as a managed service in the Iguazio Data Science Platform. Leverage automation, scale and high performance to boost data workflow management, experiment tracking and reproducability.

AutoML

Run multiple experiments in parallel, each using a different combination of algorithm functions and parameter sets (hyper-parameters) to automatically select the best result.

Experiment Tracking

Describe and track code, metadata, inputs and outputs of machine learning related tasks (executions) and re-use results with a generic and easy-to-use mechanism.

Online and Offline Feature Store

Maintain the same set of features in the training and inferencing (real-time) stages with MLRun’s unified feature store.

Workflows (Kubeflow)

Natively integrate with Kubeflow Pipelines to compose, deploy and manage end-to-end machine learning workflows with UI and a set of services.

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Jason Evans
Director of DXP Innovation

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Asanka Perera
Lead Data Scientist and Growth Hacker

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Yaron Weiss
VP Corporate Security and Global IT Operations