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Silk fuels AI innovation, providing real-time cloud data access. Seamlessly integrating cloud storage into AI workflows, it helps organizations enhance performance and reliability with enterprise data.
Silk, backed by over 20 patents, enables real-time access to production data in the cloud, fueling AI innovation. This software-defined cloud storage integrates effortlessly into AI workflows, offering high-performance and data control. Without the need for data replication, Silk enhances flexibility and leverages production data for Generative AI. Headquarters are near Boston, MA.
What are the most important features of Silk?In industries like healthcare and finance, Silk implements AI by delivering secure, real-time data access. Healthcare benefits from faster data processing, while finance leverages high-performance data management for risk analysis and compliance. Silk's agile platform adapts to evolving industry demands, supporting innovation and growth.
Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.
To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.
Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.
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