Section 2.5 authorizes Anyscale to collect Usage Data, defined as log data, metadata, and configuration and performance information about the platform, and use it to develop and improve Anyscale products, with restrictions on sharing Usage Data that contains Confidential Information except in aggregated and anonymized form.
This analysis describes what Anyscale's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision establishes that Usage Data, including log data and metadata generated from Customer's platform activity, is classified as Anyscale property rather than Customer Property, authorizing Anyscale to use it for product development subject to confidentiality restrictions on individually identifiable data.
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Compare across platforms →"Notwithstanding anything to the contrary in this Agreement, Anyscale may collect and use Usage Data to develop, improve, support, and operate its products and services. Anyscale will not share or sell any Usage Data that includes Customer's Confidential Information with a third party except (a) in accordance with Section 5 (Confidentiality) of this Agreement, or (b) if the Usage Data is aggregated and anonymized such that Customer and Customer's Authorized Users cannot be identified. Usage Data is not Customer Property.Excerpt from Anyscale's Terms of Service
(1) REGULATORY LANDSCAPE: This provision engages GDPR data minimization and purpose limitation principles if Usage Data includes personal data of Authorized Users, such as identifiers embedded in log data or metadata.
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This provision establishes that Usage Data, including log data and metadata generated from Customer's platform activity, is classified as Anyscale property rather than Customer Property, authorizing Anyscale to use it for product development subject to confidentiality restrictions on individually identifiable data.
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