Which of the 5Vs is concerned with data quality, missing data or false positive alerts?

Veracity refers to the quality and trustworthiness of data, addressing issues such as data accuracy, consistency, and the presence of noise or false positives. In the context of AIOps, ensuring high data veracity is essential for effective machine learning and analytics, as poor-quality data can lead to incorrect insights and suboptimal decision-making.

The AIOps Foundation course highlights the significance of data veracity in building reliable AI-driven IT operations.