This is a community of Snowflake users, by Snowflake users, who come together to network, share knowledge and exchange best practices.
On 2 Feb, we'll be kicking off the new year together - an exciting session awaits, along with a giveaway of snow gear accessories! 🤩
We will be taking a glimpse into the beyond: Snowflake's Cortex and how to produce contextual LLM output based on organization’s internal knowledge using retrieval augmented generation (RAG) strategy. This is built upon Snowflake 's recently announced Cortex, a fully managed service available in private preview that brings the power of large language models (LLMs) into the Snowflake Data Cloud.
Misha Naumov, Head of Data Ops, Keppel will also be sharing Keppel's Analytics Journey on Snowflake, along with other great speakers! ❄️
If you would also like to share your experience and knowledge with the broader community, or join the Singapore Snowflake Community core team, please reach out to Fei (email@example.com) or Yang (firstname.lastname@example.org).
Good food to go with good content! Collect your Snowgear at registration.
Happy New Year!
Kicking off the year with the Singapore Snowflake Community.
Keppel's Analytics journey with Snowflake
Keppel is undergoing transformation to become a data-driven global asset manager and operator as reflected in their Vision 2030.
Hear from Misha Naumov, Head of Data Ops at Keppel, Group Digital Office and Data Analytics Head - Fund Management & Investment Platform on how Keppel is driving data culture and adoption within organization and how technologies are enabling this journey.
Snowflake Best Practices: A Practical Sharing by iZeno
Deddy Johari, Director (Technology), iZeno will be sharing tips and best practices for Snowflake implementation, as well as strategic insights into the GenAI and LLM space.
Snowflake LLM - Augmenting External Knowledge with RAG
In November 2023, Snowflake announced Cortex, a fully managed service available in private preview that brings the power of large language models (LLMs) into the Snowflake Data Cloud. Customers have expressed tremendous interest in Cortex serverless LLM functions and started experimenting with LLM Apps using Streamlit.
Daniel Ong from Snowflake will showcase how to customize and produce contextual LLM output based on organization’s internal knowledge using retrieval augmented generation (RAG) strategy (vector operations) and prompt engineering.