SAS Data Maker, a secure, enterprise-grade synthetic data generator from global data and AI leader SAS, is now available in the Microsoft Marketplace. This solution creates statistically representative data without exposing sensitive or regulated information, enabling organizations to accelerate AI development while maintaining robust privacy and security standards.
SAS Data Maker, a synthetic data generator, is now available in the Microsoft Marketplace.
It creates data that replicates real data's statistical characteristics without privacy risks.
Key features include a no-code interface and built-in data quality evaluation tools.
It supports enterprise needs like multi-table data, time series, and differential privacy.
The tool helps close data gaps for AI model training, improving accuracy and speed.
It is designed for regulated industries like banking, health care, and government.
SAS Data Maker differentiates itself through enterprise-grade trust and capabilities, leveraging decades of SAS expertise in regulated industries. Key features include a user-friendly, no-code graphical interface that democratizes synthetic data creation for business users, built-in data quality and evaluation tools that ensure statistical fidelity to real-world datasets, and privacy-enhancing technologies (PETs) that allow seamless integration into existing workflows without significant changes.
"Effective, impactful AI needs appropriate and sufficient data – and synthetic data is a game changer for organizations looking to innovate responsibly," said Brett Wujek, Head of Next-Generation AI Product Strategy at SAS. "SAS Data Maker represents a pivotal step in our commitment to innovation in the next generation of data management and AI."
The general availability follows a successful private preview where customers across health care, financial services, and government validated the product's ability to simulate complex data scenarios and fill gaps in training data. Early adopters reported significant benefits, including a UK financial services firm achieving a 28% improvement in credit scoring model accuracy, a US health care provider securely simulating patient behavior and outcomes, and a European telecom company reducing data access time from weeks to minutes.
"Synthetic data that is accurately generated and rigorously validated is an indispensable resource for robust and trustworthy AI models," said Kathy Lange, Research Director, AI Software at IDC. "SAS has delivered a solution that not only addresses these challenges but also enhances the speed and quality of AI development."
This launch, which integrates technology from SAS's acquisition of Hazy in 2024, provides organizations with a secure platform to harness data effectively for AI development while ensuring compliance and protecting sensitive information.
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