How Developers Can Use Generative AI to Improve Data Quality

The article discusses how generative AI can be used to improve data quality and governance in business applications. Despite the hallucination problem with generative AI models, they can help manage operational and reputational risks by creating metadata that describes the structure and provenance of data. By employing generative AI to create metadata automatically, data teams can ensure data quality and improve the accuracy of generative AI-powered applications. This extends beyond the business domain to emerging compliance frameworks, which require policies to ensure data integrity, security, and accountability. The article also highlights the need for a platform like a data streaming platform that can process data generated in real time to present data in a way that’s consumable and efficient for applying metadata at the time of production.