The ability to access unstructured data directly with SQL syntax is not a new capability for Snowflake but these generative AI-powered functions makes the task easier, said Constellation Research ...

Integrating AI output with SQL and providing observability of large language models are ways to put more data analysts in control, according to the data warehousing giant.

SAN FRANCISCO - Snowflake Inc. (NYSE: SNOW), the $70 billion market cap cloud-based data warehousing leader, has announced the introduction of new AI-driven capabilities at the Snowflake Summit 2025.

Snowflake’s Cortex focuses on turnkey text-to-SQL and search experiences. Visualization remains unresolved. Both Snowflake and Databricks punt the “last mile” to external BI tools, for now.

Snowflake has now raised the ante again, announcing semantic views; this adds to Snowflake SQL's language, letting you define semantic views in DDL code, instead of YAML files.

SnowConvert AI, Cortex AISQL. Snowflake is using Summit 2025 to unveil its SnowConvert AI agentic automation offering to accelerate migrations from legacy platforms to Snowflake and modernize data ...

Parasoft C/C++test 2025.1 includes capabilities that are designed to meet the strict requirements of applications in ...

At the same time, SnowConvert AI introduces an automated approach to migrating legacy data infrastructure to Snowflake. AI functions directly in SQL. Traditionally, SQL users have been limited to ...

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