Your AI is only as reliable as your data
The essential guide to data reliability in the AI era
Our helpful ebook will help you learn the six essential steps for data reliability, including data profiling, policy definition, anomaly detection and leveraging machine learning (ML) for observability.
Fragmented governance is your biggest obstacle
What is Data Confidence?
Getting prepared for data reliability
A solution to complex data challenges
The six steps to
data reliability
Collibra: Feel confident about your data and your AI
What is Data Confidence™?
Six steps to data reliability
Step 1: Profile the data
Step 2: Define data policies and business rules
Step 3: Detect anomalies
Step 4: Monitor for impact
Step 5: Notify key experts
Step 6: Optimize continuously
