Organizations are turning to Artificial Intelligence (AI) to help create reports, business analysis, and other data-supported services. While these tools can be powerful, they can often also be powerfully inaccurate. AI reporting can produce hallucinations, non-repeatable results, and black-box answers with inscrutable calculations. This recorded webinar will discuss how to apply Data Governance practices and Data Catalog content to improve accuracy and trust in AI-generated content.
Additionally, AI tools are getting better and better at taking your existing queries, reporting tool packages, and ETL Packages to automate the creation of detailed data catalog information that is ready for review, editing, and approval by data stewards. This accelerated glossary and validated report catalog content can also be used to update training of your AI data models.
Can you trust your AI tools to provide correct data?
