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Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

Snowflake announced several new enhancements, from semantic models to masking data to ensure AI is accurate at scale.

The benefits of self-healing platforms go beyond operational efficiency. Reduced downtime, faster recovery and lower incident response costs all contribute to stronger business performance.