Linkedin - Using AI to Improve Ops for Your Data Organization

[AD-TEAM]

108.09 MB | 00:04:24 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
01 - Transformational change for your data organization  (4.14 MB)
02 - Introduction to DataOps and the benefits of using AI tools to enhance operations  (7.17 MB)
01 - Identify and prioritize your organization's data  (5.87 MB)
02 - How AI can be used to discover, catalog, and understand your data sources  (9.94 MB)
03 - Automate data cataloging and classification using Collibra Data Intelligence Platform  (12.11 MB)
04 - Risks and controls for consideration  (6.21 MB)
01 - Introduction to data quality monitoring and traditional methods  (3.75 MB)
02 - Enhance the quality of streaming data pipelines using AI and stream monitoring tools  (2.95 MB)
03 - Enhance the quality of batch processing pipelines using AI  (4.29 MB)
04 - Demonstration of AWS Glue data quality  (3.52 MB)
05 - Enhance the quality of structured and unstructured data using AI  (2.71 MB)
07 - What to know before implementing AI for data quality automation  (3.49 MB)
01 - The power of data analytics, business intelligence tools, and AI  (3.83 MB)
02 - Demonstration of pattern recognition and predictive analytics using Power BI  (7.47 MB)
03 - Demonstration of automating anomaly detection and root cause suggestion using Power BI  (4.92 MB)
04 - Demonstration of automating sentiment analysis with Power BI  (3.57 MB)
05 - Forecasting time-series data using Power BI  (4.04 MB)
06 - Talk to your data using AI  (2.86 MB)
07 - Risks of using AI for data analytics and mitigating controls  (9.63 MB)
01 - Extending AI in your data operations  (5.53 MB)

Screenshot

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