Part 4/13:

• Cost Management: Particularly with cloud storage like S3, costs can skyrocket due to unnecessary data versions, duplicated files, or storage of stale data, emphasizing the need for efficient data management.

These challenges underscore the critical need for smarter, automated solutions.

AI-Powered Solutions: Transforming Data Engineering

The speaker elaborates on how AI is addressing these issues across multiple facets:

1. Proactive Monitoring and Anomaly Detection

By instrumenting data pipelines with metadata collection, organizations can leverage AI models to detect anomalies in real-time. For example, AI-driven alerts can identify unexpectedly long query runtimes or volume spikes, enabling faster intervention before data consumers are affected.