Using AI to Improve Ops for Your Data Organization
1h 2mIntermediate2024-08-27
Authors
Priya Mohan
Course details
Amid the ever-evolving data landscape, organizations strive for operational efficiency and peak performance. However, managing intricate data ecosystems can present challenges in maintaining uptime, resolving issues promptly, and optimizing processes. Enter artificial intelligence—a game-changing solution poised to reshape data management practices and set new benchmarks. In this course, Priya Mohan helps you gain a solid understanding of machine learning fundamentals and practical skills to apply AI strategies effectively. Check out this course so you can confidently deploy AI-powered solutions to optimize data operations, reduce downtime, and enhance overall performance.
Skills covered
Operations ManagementArtificial Intelligence FoundationsProject ManagementArtificial Intelligence (AI)Business Analysis and StrategyOne-Off
Concepts
0. Introduction
- 01 - Transformational change for your data organization
- 02 - Introduction to DataOps and the benefits of using AI tools to enhance operations
1. Data Cataloging and Classification with AI
- 03 - Identify and prioritize your organization's data
- 04 - How AI can be used to discover, catalog, and understand your data sources
- 05 - Automate data cataloging and classification using Collibra Data Intelligence Platform
- 06 - Risks and controls for consideration
2. Data Quality Monitoring and Metadata CI CD with AI
- 07 - Introduction to data quality monitoring and traditional methods
- 08 - Enhance the quality of streaming data pipelines using AI and stream monitoring tools
- 09 - Enhance the quality of batch processing pipelines using AI
- 10 - Demonstration of AWS Glue data quality
- 11 - Enhance the quality of structured and unstructured data using AI
- 12 - Demonstration of automating data quality monitoring using Collibra Data Intelligence Platform
- 13 - What to know before implementing AI for data quality automation
3. Data Analytics and Decision-Making Using AI
- 14 - The power of data analytics, business intelligence tools, and AI
- 15 - Demonstration of pattern recognition and predictive analytics using Power BI
- 16 - Demonstration of automating anomaly detection and root cause suggestion using Power BI
- 17 - Demonstration of automating sentiment analysis with Power BI
- 18 - Forecasting time-series data using Power BI
- 19 - Talk to your data using AI
- 20 - Risks of using AI for data analytics and mitigating controls
Conclusion
- 21 - Extending AI in your data operations