Learn how Iguazio provided Quadient with an out-of-the-box data science platform and next-level MLOps automation capabilities, saving their data scientists and developers precious time and resources
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.
Run multiple experiments in parallel, each using a different combination of algorithm functions and parameter sets (hyper-parameters) to automatically select the best result.
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.
Maintain the same set of features in the training and inferencing (real-time) stages with MLRun’s unified feature store.
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."
Director of DXP Innovation
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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”.
VP Corporate Security and Global IT Operations