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Snowflake Expands Capabilities for Enterprises to Deliver Trustworthy AI into Production
Enterprises can now further accelerate multimodal conversational app development with more data sources and native agent-based orchestration Data teams can build more cost-effective, performant natural language processing pipelines with increased mod
No-Headquarters/BOZEMAN, Mont. -- Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at its annual developer conference, BUILD 2024, new advancements that accelerate the path for organizations to deliver easy, efficient, and trusted AI into production with their enterprise data. With Snowflake’s latest innovations, developers can effortlessly build conversational apps for structured and unstructured data with high accuracy, efficiently run batch large language model (LLM) inference for natural language processing (NLP) pipelines, and train custom models with GPU-powered containers — all with built-in governance, access controls, observability, and safety guardrails to help ensure AI security and trust remain at the forefront. Read More
