AI and multimodal data are reshaping analytics. Success requires architectural flexibility: matching tools to tasks in a ...

This type of data is typically numeric or categorical and adheres to a strict schema, making it predictable and easier to manage compared to unstructured or semi-structured data. Commonly used in ...

Imagine AI agents within a company that can independently access and search across all enterprise information to perform complex tasks.

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data.

the upshot is that companies will need to treat unstructured data with the same care as structured data – applying governance and quality checks – because it’s becoming a critical input.” ...

Snowflake’s focus on unstructured data is driven by the firm’s plans for agentic AI. That became clearer in February when the company launched agentic capabilities for users to query combinations of ...

Snowflake Intelligence, launching soon in public preview, allows non-technical users to query and act on structured and unstructured data through natural language prompts.

Tredence, today announced at Snowflake's annual user conference, Snowflake Summit 2025, that it has partnered with Snowflake, ...

The global big data market is expected to grow at a compound annual growth rate (CAGR) of 12.7% over the course of the ...