A semantic layer defines how datasets relate to each other and how key business metrics are calculated. It is a critical layer of context, and all AI agents need context to reason effectively.
Without a semantic layer, agents may produce technically valid queries that still return misleading results because the business logic behind the data is unclear.
From success stories and architecture deep dives to live events and AI trends — explore resources to help you design smarter data products and stay ahead of what’s next.
Browse our Latest Blog PostsWhether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.
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