ML 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.

"Iguazio allowed us to unify and combine any data type to create real-time machine learning models with an out of the box data science toolkit. That to us was worth its weight in gold."

Jason Evans
Director of DXP Innovation

"Iguazio provides us with an integrated platform which makes the job of better detecting fraud and ride usage much easier and efficient in the doing.”

Asanka Perera
Lead Data Scientist and Growth Hacker

“With Iguazio’s Data Science Platform, we built a scalable and reliable system which adapts to new threats and enables us to prevent fraud with minimum false positives”.

Yaron Weiss
VP Corporate Security and Global IT Operations