ISV's help clients build solutions for clients, but data access to client data can be challenging with data privacy regulations. What if an ISV for IBM Z and LinuxONE clients could get ahold of realistic transactional data that did not have any sensitive data and build out innovative AI solutions?

IBM Synthetic Data Sets, is a family of enterprise-grade, artificial datasets designed to accelerate AI and large language model (LLM) development for IBM Z and IBM LinuxONE environments. These synthetic datasets are built with IBM’s deep financial services expertise and are simulated rather than masked, so there is no real PII that would be at risk of misuse. In this way synthetic data can be used to accelerate and enhance AI projects for optimizing models and deployment options.

In addition, the datasets include broader and richer data than might be available in reality, such as labels for fraud and money laundering on all transactions.Join us to discover how these privacy compliant datasets are enabling more accurate fraud and money laundering detection, better risk modeling, and faster AI innovation—helping ISVs deliver more business value to their clients.