5 Ways to Become a Data-Driven Business
Synthetic data is a versatile, GDPR-compliant tool ready to serve a wide variety of use cases
The most common synthetic data use cases
Rapid POC Evaluation
Evaluate software products with as-good-as-real synthetic data to reduce vendor-related costs and risks while speeding up innovation and product development in your organization.
Analytics & AI Training
Synthetic data is exempt from privacy regulations, enabling data scientists to see the big picture by accessing privacy-compliant, statistically identical synthetic repositories seamlessly.
Product development and testing
MOSTLY AI’s easy to use synthetic data platform empowers you to create a realistic test data environment with synthetic copies of your production data in a privacy safe fashion.
Hackathons & Datathons
As-good-as-real synthetic copies of your production datasets enable hackathon participants to work on robust solutions safely and without the debilitating limits of data scarcity while keeping privacy intact.
Fraud detection and AML
Testing, training, and calibrating your machine learning models with realistic artificial data that is representative of the fraudulent activities your institution encounters improve fraud detection and the AML models’ accuracy.
