Data enrichment as a use case, according to Yarros, would include enhancing datasets with synthetic data via generative AI models.
The text embedding functionality of the operators can be used to take huge amounts of unstructured text and turn it into a structured format, allowing enterprises to dissect it and derive insights from it, Yarros wrote, adding that the content generation functionality can be used to provide DAG metadata such as descriptions, tags, and document values.
Some of the real-world applications of combining Apache Airflow and Vertex AI, according to the company, could be targeted marketing, data cleansing, and coalescing reports.
