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3:47 - Data Cleaning and Sanitization
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Classroom Contents
Building Safe Enterprise AI Systems with Databricks
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- 1 0:00 - Importance of Data in AI Applications
- 2 2:15 - Challenges in Handling Unstructured Data
- 3 3:47 - Data Cleaning and Sanitization
- 4 4:08 - Utilizing Delta Tables and Vector DBs
- 5 5:00 - Data Command Graph and Knowledge Graph
- 6 5:28 - Entitlement and Permission Management
- 7 6:02 - Integration with Unity Catalog
- 8 6:48 - Data Syncing & Integration Best Practices
- 9 13:25 - Live Demo: Secure Data Ingestion with Gen Core APIs
- 10 13:47 - Connecting On-Prem Data Systems SMB
- 11 14:14 - Configuring Data Loader and Sanitization Nodes
- 12 14:37 - Visualizing Data Flow and Provenance
- 13 15:02 - Previewing Original and Sanitized Files
- 14 15:26 - Viewing Files in Databricks
- 15 18:40 - Redaction and Anonymization Processes
- 16 19:25 - Encryption and Data Security
- 17 20:04 - Monitoring and Compliance Checks
- 18 21:50 - Utilizing MLflow for Model Performance Monitoring
- 19 22:38 - Syncing Data with Other AI Platforms e.g., Vortex AI, Azure
- 20 18:21 - Q&A Session
- 21 19:54 - Role of Unity Catalog in AI Governance
- 22 21:37 - Integration with External Rule Stores for Redaction
- 23 24:26 - Partnership with Databricks
