IBM Synthetic Data Sets are designed to help with training or fine-tuning AI models quickly on IBM Z and LinuxONE mainframes.
IBM is rolling out a portfolio of enterprise data sets aimed at jumpstarting AI development for its Z and LinuxONE mainframe customers.
IBM’s Synthetic Data Sets are designed to help with training or fine-tuning AI models quickly, enhancing predictive models, and validating truthful models, IBM said. The family of data sets, expected to be available at the end of February, includes modules for payment cards, banking and money laundering, and homeowners insurance.
Synthetic Data Sets are comprised of downloadable CSV and DDL files with pre-curated attributes needed for the specific IBM Z and IBM LinuxONE use cases, making them familiar to use and compatible with everything from databases to spreadsheets to hardware platforms to standard AI tools, IBM said.
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