Chatted with a CIO who thought his organization was “about a year away from being ready for AI.” Doesn’t have to be that way. Snowflake makes it easy for you to get to the cloud, create a single governance and security layer and activate your teams to activate your data. Snowflake Cortex AI, for ready-to-use LLMs and ML functions for citizen data science. Snowpark ML, for MLOps without the ops burden. Snowpark container services, for compute-intensive GenAI with fully-managed GPUs. What you don’t need to waste your energy on with Snowflake: infrastructure, platform, compute and storage maintenance. “It just works.” Check out this developer guide on how to create enterprise Call Center Analytics in Snowflake using OpenAI Whisper, Snowflake Cortex LLMs, Snowpark container services and Streamlit. Takes only 35 minutes.
"It just works" 👏 A recent project moved to Snowflake in 40% of the time expected and estimated by one of the cloud providers and their solution. When you're talking months/years, most can't afford a more than 2x on time to market.
Couldn’t agree more Matt!
Enterprise Account Executive, Snowflake
1wMore on what’s here and what’s coming to Snowflake Cortex AI: https://www.snowflake.com/blog/cortex-ai-advances-enterprise-ai-no-code-development/