Part 10/15:
Given the diverse formats and sources of enterprise data—including unstructured and multi-format datasets—there’s an inherent risk of inaccuracies. Snowflake tackles this by emphasizing data quality—ensuring data is cleansed, consistent, and timely. Their platform’s semantic search and retrieval system serves as a “grounding” mechanism, retrieving relevant documents to anchor AI responses. Additionally, they advocate for fine-tuning base language models on industry-specific data, enhancing contextual accuracy without sacrificing safety.