Part 9/13:

Trust in AI and data pipelines hinges on transparency. The platform integrates explainability features—detailing how data was processed and derived, such as data joins and transformations—bolstering user confidence and compliance.

Emerging Trends: The Future of Data Engineering with AI

The speaker highlights several evolving trends:

• Enhanced Metadata and Data Catalogs: Integration of generative AI to automate cataloging, classification, and description, making datasets more discoverable and manageable.

• Self-healing and Adaptive Pipelines: AI models that not only detect issues but also recommend and enact corrective actions automatically, ensuring high pipeline availability.