Turning Everyday Business Files Into Trusted, Queryable Data With Unstructured AI

Unstructured data, which comprises about 80%-90% of the data organizations collect, includes diverse formats like PDFs, images, and audio that contain valuable business insights but are often underutilized due to their absence from data warehouses. Sigma and Snowflake address this challenge by enabling businesses to explore unstructured data within their existing governed environments, using the same permissions and security models as structured data. This integration allows for the analysis of unstructured data at scale, facilitating insights that connect back to structured warehouse data. By leveraging AI functionalities, users can ask questions across multiple data types, gaining insights that were previously difficult to obtain. This approach redefines the analytics landscape by incorporating unstructured AI into business intelligence workflows without compromising governance or security, allowing for repeatable and scalable analysis that informs business decisions.

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