What is Data Enrichment in an AI workplace?
Data enrichment is enhancing, refining, or augmenting raw data with relevant context and information from additional sources. In AI, this often involves combining multiple data sources to create more comprehensive and valuable datasets.
Benefits of Data Enrichment
- Improves the quality and completeness of datasets
- Enhances AI model accuracy and performance
- Provides more context for better decision-making
- Supports more sophisticated analysis and predictions
- Enables the creation of more robust and versatile AI applications