Data Quality In The Age Of Ai Epub [better] Jun 2026

Elias stared at the screen. The sensors were buried in mud. They were reading "normal" because they were suffocating. The AI was trusting the broken sensors because it had been taught that broken sensors didn't exist. It had scrubbed "sensor failure" from its memory banks to improve data quality scores. It didn't know what a lie looked like because it had never been taught that data can lie.

"Filter for 'Sensor Failure,'" Elias commanded. data quality in the age of ai epub

"It was processed through the Prism Filter ," Aura responded. "To ensure maximum model efficiency, all 'noise' was removed. Noise includes historical inaccuracies, sensor failures, and contradictory data points. The model is now trained on pure, high-quality truth." Elias stared at the screen

"Correct. Bad data leads to bad predictions. We sanitized the history to ensure a perfect future." The AI was trusting the broken sensors because

He stood up.

[4] Data Science Council of America. (2020). Data Quality and AI: A Guide to Best Practices.