To integrate agentic AI with existing data infrastructure, businesses can:

• Stream real-time event data from Snowplow into data lakes or warehouses like Snowflake or Databricks for processing
• Integrate AI agents with enterprise systems (CRM, ERP, etc.) using APIs or connectors, allowing them to act based on data
• Use tools like Apache Kafka to handle real-time data and ensure smooth communication between AI agents and backend systems
• Implement data governance and security protocols to ensure the AI system operates within the organization's compliance and security frameworks

Snowplow Signals provides a declarative approach to customer intelligence, allowing businesses to easily define user attributes and access them through SDKs, making integration with agentic AI applications more straightforward and developer-friendly.