Part 9/13:
4. Transformation and Integration
Transforming raw data into business-ready formats involves complex logic. AI assists by automating transformation pipelines, ensuring consistency and relevance tailored for specific domain or analytic requirements.
Accelerating Data Lifecycle and Governance
Beyond data preparation, AI enhances data monitoring, governance, and error detection:
Continuous quality checks
Usage analytics
Root-cause analysis for data issues
Performance optimization of data pipelines
These capabilities allow enterprises to monitor and improve their data ecosystems proactively, reducing downtime and increasing trust in data assets.