How Can Synthetic Data Improve ML Training and Fairness?

Analytics leaders: wouldn’t it be great if privacy and security issues didn’t limit data sharing or create bottlenecks in your analytics processes? Join us and learn how SAS Data Maker helps analytics and AI teams move faster by generating diverse, realistic synthetic data on demand. You’ll see how synthetic data can accelerate your analytics solutions without compromising data integrity

You will learn how to:

• Eliminate bottlenecks in data access and sharing that slow model development.
• Address issues of sufficiency and balance for your training data.
• Evaluate synthetic data for realism, fairness and analytical value.
• Accelerate experimentation, model building and deployment while minimizing privacy and compliance risks.