News

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.
While unstructured data in the form of user documents has been around for decades, its volume, variety, and the number of applications that generate it — from self-driving cars to smart cameras ...
The genetic data documented in the EHR may be misclassified, in part because tumor and hereditary cancer genetic testing are sometimes performed for the same patient, 26 and because the distinction ...
Titled "How to Tackle Unstructured Data," the slide that anchored the part of her talk we'll discuss here offered both a conceptual framework and a practical to-do list for IT pros looking to turn ...
In-Depth Front-Line Expert Answers Unstructured Data Sprawl Questions By David Ramel 03/28/2025 Unstructured data sprawl happens when organizations accumulate massive amounts of files -- like ...
Snowflake is adding generative AI-powered SQL functions to help data analysts and their organizations analyze unstructured data with SQL. These new AISQL functions will be part of Snowflake’s ...
Crunchy Data’s vector database capabilities can make unstructured files more searchable, a feature that Snowflake believes will resonate with its customers.
LlamaIndex provides data connectors and utilities like LlamaParse, which transforms unstructured data into a structured format that can be used for particular AI applications.
To make the data it pulls from as comprehensive as possible, it draws from different data sources, including Snowflake, Box, Google Drive, Workday, and data types, using Snowflake Openflow to ...
Understand that structured data makes it easier for computers to read and index your content. Even though AI can work with unstructured data, using structured data gives you a clear advantage in ...