Why the future of test data for software development is synthetic data
Why the future of test data for software development is synthetic data The power of a well-functioning test infrastructure Assume that your organization has…
Category: Use cases
Synthetic data: data balancing and data augmentation
Synthetic Data allows for intelligent data balancing, data bias minimization or to balance data that is under- or overrepresented.
Synthetic data: data commerce
Responsibly monetize your data assets in synthetic form with synthetic data (by 2022, 35% of companies will be data buyers or sellers)
Synthetic data use case: overcome legal retention periods
Overcome legal retention periods and preserve data to spot valuable patterns, trends and relationship over time with synthetic data.
Synthetic data use case: synthetic data for model development (e.g. dashboards [BI] and advanced analytics [AI & ML])
Realize an agile data infrastructure for model development with synthetic data to eliminate time consuming data access roadblocks.
Synthetic data use case: data sharing
The synthetic data sharing use case allows you to eliminate data sharing challenges that you will face when sharing original data.
Synthetic data client case: test data for software testing, development and delivery
Use AI generated synthetic data to test and develop with next-level test data to deliver state-of-the-art software solutions