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SAS has launched Data Maker on the Microsoft Marketplace, offering an enterprise-grade, secure synthetic data generator that addresses critical privacy and regulatory challenges. By creating statistically representative data without exposing sensitive information, the tool enables organizations to utilize realistic datasets for AI model training while maintaining strict compliance. This advancement allows businesses to bypass the legal and operational hurdles associated with using real-world personal data, fostering a safer environment for innovation in highly regulated sectors like finance and healthcare. The solution emphasizes usability and robust validation through a no-code interface and built-in evaluation tools, democratizing access to synthetic data for non-technical users. Unlike competitors that often require complex API integrations or significant workflow changes, SAS Data Maker integrates seamlessly into existing data ecosystems with minimal disruption. This ease of use ensures that synthetic data can be swapped in and out of pipelines effortlessly, supporting diverse data types including time-series and multitable structures without demanding specialized technical expertise. This release is highly relevant to the open data community as it demonstrates how synthetic data can preserve utility while eliminating privacy risks, a key principle for responsible data sharing. By enabling the creation of high-fidelity proxies for real data, organizations can share analytical insights and train models without compromising individual confidentiality. This approach expands the potential for collaborative research and development, allowing broader access to valuable data patterns while upholding ethical standards and privacy protections essential for public trust in data-driven initiatives.

Source: newswiretoday.com
Published on 2025-12-09

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