AIOps
Understanding the importance of data quality in causal AI
Causal AI's ability to diagnose root causes of problems relies heavily on data quality, a factor centred on five pillars: accuracy, completeness, consistency, timeliness and relevancy.
By Rafi Katanasho
•
4 min read
•
Thu, 18th Apr 2024