How to establish a trusted data foundation for AI
A trusted data foundation is vital for AI success. This white paper presents 6 principles for AI-ready data, including:
- Ensure diversity to minimize AI bias
- Maintain timeliness with rapid-update pipelines
- Guarantee accuracy through data profiling, remediation, and lineage analysis
- Enhance security with data classification, protection, and access policies
- And 2 more
The paper also introduces the AI Trust Score - a tool you can leverage to measure your data's adherence to these principles. For further details on creating an AI-ready data foundation, read the full white paper now.