How AI describes IBM Synthetic Data Sets

IBM Synthetic Data Sets are prebuilt, privacy-compliant synthetic datasets designed to train predictive AI models and large language models, specifically for IBM Z and LinuxONE financial services enterprises. The datasets are downloadable in CSV or DDL and provide realistic, PII-free data with ground truth labels (e.g., fraud and money laundering) to accelerate secure AI development and model validation. Generated using an agent-based methodology that preserves complex relationships and referential integrity, they help improve AI model accuracy, support fraud risk detection, and reduce data access time for faster innovation.