Alation Partners With Dataiku to Accelerate and Democratize Data-Driven Insights

Bi-lateral integration enables sharing and governance of models across the enterprise

Alation, the leader in enterprise data intelligence solutions, announced a partnership with Dataiku, the leading global Enterprise AI and machine learning platform, to accelerate time to value, increase collaboration and efficiency of data science teams, and ensure that sensitive data used to create AI and machine-learning models is properly classified and governed. The partnership expedites the time and accuracy of data science insights for organizations.

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“We are excited to partner with Alation, as this marks the first industry partnership that allows data scientists to catalog and govern models directly within a machine learning platform”

Data science teams depend on Alation for critical insight into the right data to use. As a single source of truth for data scientists, Alation enables them to find and understand trusted data with deep context for data modeling. With the integration, data scientists working in Dataiku can automatically ingest curated datasets from Alation directly into Dataiku, decreasing the time spent searching for data and subject matter experts, while also ensuring data quality. Now, Alation users can discover models, recipes, and projects built in Dataiku and ensure models adhere to emerging data privacy regulations, and are properly governed by stewards and data scientists.

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“We are constantly identifying ways to help our customers reduce the complexity they experience working with data. Data scientists spend the majority of their time searching for data and data science models, and we increase their productivity by rapidly connecting them with the data they need,” said Kiran Narsu, Vice President, Business Development, Alation. “Alation and Dataiku have very complementary missions and this bi-directional integration is already igniting collaboration among data analysts, data scientists, and stewards, further breaking down silos across enterprises.”

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