Generative AI Meets Data Quality: Rule Creation Simplified

See how Generative AI in Data Quality Monitor simplifies rule creation using just a prompt. Instantly auto-generate data quality rules with mapping info, lineage, and AI-powered suggestions. Built-in wizards and zero-code tools allow for rapid, scalable rule definition—modernizing your data quality workflows.

📅 Timestamps:
0:00 Introduction to Generative AI in Data Quality
0:11 How Generative AI Helps with Rule Sets
0:15 Defining Rule Sets with AI
0:18 Exploring Data Layers for Rule Creation
0:26 Generating AI-Driven Rule Sets
0:33 Using Wizards for Bulk Test Case Creation
0:40 Generative AI Rule Set Creation via Prompts
0:49 Recommendation: Genea Use Case Webinars
0:56 AI Integration with Lineage and Mapping
1:03 Automating Data Quality Rule Creation
1:12 Summary: Data Quality Monitoring
1:15 Core Use Cases: Rules, Expansibility, Scoring
1:26 Profiling and Observability
1:30 Machine Learning for Anomaly Detection
1:36 Generative AI for Rule Set Automation
1:41 Additional Webinar Resources
1:45 Closing Remarks
1:49 Contact Information and Free Demo Request
1:54 Scan QR Code and Closing

📧 Contact Us: [email protected]
🌐 Free Demo: Scan the QR code in the video!
DataOps Data Quality Monitor - Monitor data quality in your Data Pipelines, AI & Analytics using Gen AI
DataOps DQ Monitor - https://www.datagaps.com/dataops-data...
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🎬 Video Highlights:
Snippet 1: Introduction to the Platform: Data Quality Monitor -    • Introduction to the Platform: Data Quality...  
Snippet 2: Data Quality Management: Rules, Good Data & Bad Data -    • Data Quality Management: Rules, Good Data ...  
Snippet 3: Tracking Data Quality Score Through Models and Lineage -    • Tracking Data Quality Score Through Models...  
Snippet 4: Profiling + Observability: How DQM Catches Data Anomalies -    • Profiling + Observability: How DQM Catches...  
Snippet 5: Generative AI Meets Data Quality: Rule Creation Simplified -    • Generative AI Meets Data Quality: Rule Cre...  





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