Snowflake's approach unifies structured and unstructured data analysis within its platform by treating documents as queryable ...
LONDON--(BUSINESS WIRE)--With access to huge troves of business-critical data, most businesses already have the data required to make effective data-driven decisions. But to unlock the true potential ...
Despite all the publicity around Big Data and Apache Hadoop, a new database deployment survey indicates traditional, structured relational database management systems (RDBMS) still reign among ...
To enhance reliability, Snowflake’s AI researchers introduced a new evaluation framework called Agent Goal, Plan, Action that ...
GenRocket, the market leader in Design-Driven Synthetic Data Generation, today announced the launch of its Unstructured Data Accelerator (UDA) — an innovation that extends GenRocket’s platform beyond ...
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Search.co Announces Release of Smart AI Query Agent to Transform Enterprise Search and Data Access
New natural-language query engine combines AI, vector search, and retrieval-augmented generation to deliver accurate, cited answers across ...
In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...
The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...
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