Snowflake Inc. (SNOW) Unveils 'Snowflake Intelligence': Revolutionizing Enterprise Data Management

Snowflake Inc. (SNOW), the AI Data Cloud company, has recently announced the launch of 'Snowflake Intelligence' at its annual developer conference, BUILD 2024. This innovative platform empowers enterprises to easily ask business questions across their enterprise data, unlock data-driven answers, and create data agents that take action on those insights. By integrating with popular enterprise tools like Salesforce, Slack, and Google Workspace, Snowflake Intelligence promises to enhance data accessibility and collaboration, fostering a more data-driven work environment.

Snowflake Intelligence builds upon Snowflake's easy, efficient, and trusted AI services, providing enterprise-grade data agents that efficiently get organizational work done while protecting customer IP. The platform enables users to talk to their data using natural language, making it easier for everyone to access and harness the full potential of their data. This seamless integration with third-party tools allows teams to accurately process and retrieve data from both unstructured and structured data sources, fostering a more collaborative and efficient data-driven work environment.

Snowflake Intelligence leverages Snowflake Cortex AI, a fully managed AI service that provides a suite of generative AI features, as the AI engine powering its capabilities. It was built using Cortex Search (now generally available) to run queries on unstructured data, and Cortex Analyst (in public preview) to run queries on structured data. New innovations to Cortex AI enable more users to harness Cortex AI's serverless large language model (LLM) inference, fine-tuning, retrieval augmented generation (RAG), and text-to-SQL, so data teams can process unstructured data while developers quickly build enterprise AI apps.

Snowflake Intelligence also comes natively integrated with Snowflake Horizon Catalog at the foundational level, making it compatible with industry-leading open formats like Apache Iceberg™ and Apache Polaris™ (Incubating). This combination delivers strong enterprise-grade compliance, security, privacy, discovery, and collaboration capabilities, extending across clouds and regions.



By integrating with popular enterprise tools and systems, Snowflake Intelligence simplifies data access and governance. It enables users to define the datasets they want to ask questions to, which can include PDFs or tables in a database, without having to write any code. As questions get asked, Snowflake Intelligence puts data agents into action to do analysis, summarization, or generation tasks. Data agents can also use APIs or write to Snowflake tables to record business decisions, making it easier to track results and measure impacts.

Snowflake Intelligence represents a significant step in Snowflake's AI journey, further enabling teams to easily and safely advance their businesses with data-driven insights they can act on to deliver measurable impact. As enterprises increasingly rely on data-driven decision-making, Snowflake Intelligence's AI-driven data insights and actionable business solutions promise to enhance business decision-making processes, improve operational efficiency, and increase data utilization across organizations.

In conclusion, Snowflake Intelligence's launch marks a significant milestone in the evolution of enterprise data management. By integrating with popular enterprise tools and systems, it simplifies data access and governance, enabling users to talk to their data using natural language. With AI-driven data insights and actionable business solutions, Snowflake Intelligence has the potential to revolutionize the way enterprises approach data-driven decision-making, ultimately driving long-term growth and sustainability.