Pip Sidaway

Come for the memes, leave with a practical guide for interacting with data via natural language. In this talk we will walk you through our strategy for improving data accessibility, development, and governance of semantic models, leveraging your existing best practises to move fast. We will share process designs and code examples to help you boot strap your own journey into this new frontier.

Unlock Snowflake's power with Snowflake Cortex AI. We'll share real-world examples, including reducing work item backlogs through intelligent prioritization and automating client data updates from free text across multiple source systems — saving 150 FTE hours by completing tasks in under a week. Additionally, we use Streamlit as an interface for review and quality checks. Learn about our successes, challenges and practical tips for your Snowflake Cortex AI implementation.

Founded in 1952, nib has become one of Australia's fastest growing health funds, leveraging advanced data practices to drive its expansion. With dozens of dbt projects and thousands of dbt models interacting across the organization, the data team has built processes and frameworks to effectively govern these models.

The team at nib Health has internal projects that contain standardised packages for running a dbt project, such as pipeline management, data testing, and data modelling macros.