How Developers Can Use Generative AI to Improve Data Quality

This post details how generative AI can be leveraged to improve data quality by automating the creation of metadata (schemas, descriptions, provenance) which is essential for trustworthy AI applications. It explains the process of using generative AI models with examples to induce schemas and generate metadata, emphasizing the need for human review to correct AI errors and ensure accuracy. The post advocates for a data streaming platform as an optimal pattern for applying metadata at the time of data production and creating reusable data products. It also touches upon the broader concept of AI governance and its dependence on robust data governance.