How Brilliant Earth Modernized Its Analytics Stack with Snowflake and Posit

Brilliant Earth's data science teams once relied on manual Excel and legacy data warehouse workflows. These created data silos and query bottlenecks that made advanced analysis difficult. Brilliant Earth moved its data into Snowflake and added the Posit Team Native App, which gave its teams a scalable, governed, AI-powered environment for building predictive models, refining customer segmentation, and sharing trusted insights with decision-makers. In this webinar, Snowflake, Posit, and guest Matthias Mueller of Brilliant Earth explain how the omnichannel jeweler modernized its analytics stack. What you'll learn: - How Brilliant Earth centralized fragmented data in Snowflake as a single, governed source of truth, so data scientists could spend time on analysis instead of moving data between systems - How the team builds and iterates on predictive models and customer segments with Snowflake's data foundation and Posit's environment for R and Python, which speeds model development and supports more targeted, personalized customer engagement - How non-technical marketing, merchandising, and executive teams get trusted insights from dashboards, applications, and reports published through Posit - How the team built an AI summarization tool with LLMs, using the Anthropic and Snowflake Cortex APIs, to share key insights quickly - How Positron (development), Snowflake Cortex AI, and Posit Connect (publishing) fit into one workflow, so the team can govern data rigorously, deploy insights quickly, and use AI while human experts stay in control Speakers: Matthias Mueller, Brilliant Earth Sem Sergunin, Snowflake Natallia Drobau, Posit Resources: - Get the Posit Team Native App (Free 30 day trial): https://app.snowflake.com/marketplace/listing/GZTSZMCB9S/posit-pbc-posit-team-native-app?utm_source=partner&utm_medium=web&utm_term=Snowflake&utm_content=native-app - Learn more about Posit for Snowflake: https://posit.co/solutions/snowflake