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AVEVA and Snowflake announced a strategic partnership to connect industrial and enterprise data through direct integration between CONNECT and the Snowflake Data Cloud.
AVEVA and Snowflake, a Data Cloud company, have announced a strategic partnership designed to help industrial organizations unify, govern, and activate data across IT and OT environments.
The collaboration establishes a direct, zero-code integration between CONNECT, AVEVA’s industrial intelligence platform, and the Snowflake Data Cloud. The integration is intended to help customers more securely access, analyze, and use industrial and enterprise data without having to rely on more complex data pipelines or costly integration projects.
The partnership reflects a shift from traditional data movement and pipeline-heavy architectures toward a data-sharing approach that can help to simplify access, reduce technical debt, and support faster, more scalable Industrial AI adoption.
The integration is designed to help industrial organizations:
Connect OT and IT data across operational, engineering, and enterprise domains.
Move from fragmented systems to a governed, enterprise-wide data foundation.
Access trusted, high-quality datasets in the cloud.
Support predictive modeling, AI-driven insights, and analytics workflows, including through Snowflake Cortex capabilities.
Reduce unnecessary data duplication while maintaining governance, security, and scalability.
This approach can help organizations reduce time-to-value from, for example, what can often take months, down to just hours while supporting a more future-ready industrial data architecture. The new capabilities are intended to help support AI-driven operations, cross-enterprise collaboration, and the development of more autonomous industrial systems.
The partnership also creates a foundation for continued collaboration between AVEVA and Snowflake across industrial software, data analytics, and AI, helping industrial organizations make trusted data more accessible and actionable across the enterprise.
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