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SAS® Data Maker Deployment

avaldaja SAS Institute Inc.

Elevate AI innovation with trusted, privacy-safe synthetic data.

Overview
SAS Data Maker is a cloud-native solution that enables AI, analytics and data engineering teams to create high-quality synthetic data for any scenario. Use a powerful low-code/no-code interface to generate statistically realistic data that protects privacy and compliance while enriching data sets to improve fairness, simulate rare events and stress test systems.
The result is trusted, representative and production-ready data that speeds model development and strengthens real-world outcomes. Whether you're training machine learning models, validating pipelines or enabling secure data sharing, SAS Data Maker helps you move faster and more safely.

Why SAS Data Maker
  • Accelerate AI/ML development: Generate training-ready data in minutes to test, tune and deploy models faster.
  • Safeguard privacy: Create statistically realistic data that mirrors real-world information without exposing PII or PHI.
  • Ensure data trust: Validate output with automated utility scoring, privacy risk detection and comprehensive audit trails.
  • Integrate seamlessly: Use the solution standalone or embed it within your SAS Viya pipelines with no vendor lock-in.
  • Rely on an enterprise-ready solution: SAS is trusted by global leaders in financial services, health care and government to fuel critical analytics and AI.

Top Use Cases
Unlock the full potential of your data with SAS Data Maker. Use cases include:
  • Training and validating machine learning models with synthetic data
  • Sharing de-identified data sets securely across teams or with external partners
  • Replacing sensitive records in dev/test environments
  • Stress testing systems using extreme edge case simulations
  • Balancing data sets to alleviate bias and improve model fairness
  • Augmenting or imputing incomplete data for AI readiness
  • Simulating rare events or generating edge cases to test resilience

Lühiülevaade

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