How Data Extends AI

Data does not replace AI. It complements it by adding the data movement, analytical storage, streaming, and BI services that some AI solutions need around the AI layer.

Core Relationship

Practical Extension Points

• Airbyte helps bring data into the wider platform from external systems
• Kafka supports event-driven data movement and streaming use cases
• Kubeflow provides ML pipeline orchestration and notebook-based development
• Lakekeeper and Spark Operator provide catalog-backed Iceberg processing
• Tuples applies tenant data configuration and optional audit publication
• Superset exposes business-facing dashboards and BI views over analytical data

What This Enables

• AI systems that depend on synchronized enterprise data
• Analytics and reporting experiences around platform data
• Event-driven architectures that connect AI and data services
• A cleaner separation between AI application logic and enterprise data operations