But don’t take our word for it. Learn why Chevron and Momenta invested.
McKinsey believes that AI and machine-learning systems have matured at a faster pace than data management over the last decade, effectively making data quality a roadblock for innovation. Making data quality a priority is imperative. The ability to detect and resolve data anomalies in real time and at scale is essential to optimal decision-making, strong asset and sensor health, and having validated data for AI, models, and analytics.
APERIO helps customers prioritize operational data monitoring and identify data anomaly root causes for instant data remediation. Powered by AI, APERIO DataWise analyzes millions of operational tags for previously undetectable data anomalies, ensuring the quality of data used in assets, operations, and advanced models meets rigorous data quality measures. Knowing the quality of your data in real time enables immediate resolution and instantly improves performance. 🖐️🎤
To learn more about APERIO’s leadership in data quality and how we can help resolve your data quality issues, download the eBook or request a demo.