Solving Data Quality in Real Time with AI Analytics and Anomaly Detection
Feb 1, 2019
Apply AI Analytics to improve data quality:
- Ensure Data Quality – Rapidly transform vast volumes of big data into trusted business information.
- Apply Machine Learning – Automatically detect outliers and auto-correlate among related anomalies.
- Trust Your Data – Preemptively identify trends before they become data quality issues and bring renewed trust in the quality of the data that directly impacts business priorities.