- Snowflake (SNOW, Financial) introduces Cortex AISQL and SnowConvert AI for enhanced data analytics.
- Cortex AISQL offers up to 60% cost savings, leveraging generative AI directly into SQL queries.
- SnowConvert AI accelerates migrations from legacy platforms, reducing manual coding efforts.
Snowflake (SNOW), a leading AI Data Cloud company, announced significant advancements at its Snowflake Summit 2025, unveiling Cortex AISQL and SnowConvert AI. These innovations aim to transform the data analytics landscape by embedding generative AI directly into SQL queries and streamlining data migrations from legacy systems.
Cortex AISQL, now in public preview, integrates generative AI into customers' SQL queries, allowing organizations to analyze diverse data types and build AI-powered pipelines using familiar SQL syntax. This new capability promises up to 60% cost savings when filtering or joining data, significantly enhancing performance and scalability for strategic decision-making.
Furthermore, SnowConvert AI utilizes AI-powered automation to accelerate migrations from legacy data platforms to Snowflake. By automating the conversion process, SnowConvert AI reduces the need for extensive manual re-coding, thereby lowering migration risks and costs. This enables organizations to modernize their data infrastructure efficiently, further driving insights and innovation.
The introduction of these technologies marks a pivotal shift in how enterprises operate, providing a seamless integration of AI with existing SQL functionalities. By harnessing advanced models from Anthropic, Meta, Mistral, and OpenAI, Cortex AISQL enables teams to gain deeper insights without complex engineering workflows, effectively transforming every data analyst into an AI engineer.
Snowflake continues to push the boundaries of data analytics with a unified platform approach, allowing businesses to process data across various formats with remarkable efficiency. The enhancements in analytics performance, coupled with AI-driven insights, position Snowflake at the forefront of data-driven innovation.
