Qlik Trust Score™ for AI-readiness

The latest Qlik Cloud update introduces new dimensions to the Qlik Trust Score™ to enhance how organizations evaluate the readiness and reliability of datasets for artificial intelligence applications. These additions provide deeper insight into data quality. It helps securing trustable AI outcomes and reduce the risk of bias.

Key features

• Diversity: Measures the richness of data to be used by AI by considering how much data is available compared to expectations and how data is distributed. A high diversity score helps ensure AI systems are built on broad, balanced, and representative information.

• Accuracy: Defines custom validation rules under the “Accuracy” category to measure data accuracy. The severity of failing rules influences the overall score, helping to quickly pinpoint the most critical issues.

• Timeliness: Sets freshness thresholds at the dataset level to ensure data is up-to-date over time. It is calculated using an increasing function based on data pipelines updates.

Qlik Trust Score™