AI models are only as good as the data they're trained on. The challenge is ensuring data has the right quality, context, and compliance before it's used.
Based on Gartner's AI-Ready Data framework, these continuous processes ensure data is ready for AI and analytics.
Ensure data has the right context, quality, and lineage from the moment it's created.
Validate, verify, and ensure consistency across all data streams automatically.
Automate compliance, stewardship, and regulatory requirements at the source.
Waiting until data reaches your warehouse is too late. By then, you've already paid to move, store, and process unusable data.
Identify quality issues, missing context, and compliance violations before data moves.
Filter out noise and bad data before it hits Snowflake, Databricks, or Splunk.
Enforce data sovereignty, PII masking, and regulatory requirements at origination.
Make decisions on clean, contextualized data without waiting for centralized processing.
Ensure training data is diverse, fair, balanced, and properly labeled from the source.
Learn More →Make decisions on validated, contextualized data without centralized delays.
Learn More →Enforce GDPR, HIPAA, CCPA, and other regulations before data leaves its origin.
Learn More →Send only clean, governed data to Snowflake and Databricks - reduce costs.
Learn More →See how Expanso brings continuous Alignment, Qualification, and Governance to your data infrastructure.