AI-Powered Risk Management
summary
Built a metadata-driven pipeline platform using Azure Data Factory with parameterized JSON templates, reusable components, and streaming feeds into PowerBI for realtime dashboards. The implementation claims 40% operational cost reduction via dynamic scaling and optimized scheduling, a 99.9% pipeline success rate that nearly eliminates manual restarts, and 70% faster report generation for business teams. Architecture includes incremental loads, data lineage, alerting, encryption with Azure Key Vault, and enterprise rollout plus plans for autotuned, self-learning risk models.
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chapters (8)
- 0:00Introduction and Speaker Background
- 0:43Understanding the Data Challenges
- 1:46Introducing Azure Data Factory
- 2:36Business Impact and Results
- 3:10Architecture Best Practices
- 4:04Governance and Monitoring
- 5:23Compliance and Security
- 6:01Future Vision and Conclusion
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