As companies scale, retaining and accessing institutional knowledge becomes increasingly challenging. Customer Success teams often navigate multiple platforms to piece together customer histories, making it difficult to maintain continuity and provide efficient service across account transitions.
In this session, Curtis de Castro will demonstrate how Sigma:
Built an AI-powered repository that consolidates all customer interactions into a single, searchable platform Enabled real-time filtering and analysis of customer interactions across chat, email, and tickets Implemented AI-driven features for sentiment analysis, meeting agenda generation, and churn risk detection Developed a scalable solution that maintains data security by leveraging Snowflake Cortex Designed an intuitive interface that makes advanced insights accessible without SQL expertise Previously, deep customer analysis took hours—sometimes days. Now, AI surfaces key insights in minutes, enabling teams to focus on action instead of searching for data. Join this session for a demo of how Sigma built an enterprise-grade AI-powered data app to modernize customer intelligence, while maintaining enterprise-grade security and governance.
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