What is Synthetic Data?
Synthetic Data is artificial data which is created specifically for the design, development, and testing of real world applications. It is extremely useful in a variety of machine learning scenarios, specifically in the realm of artificial intelligence and constructing test data and applications for their advancement.
Artificial Intelligence test data seeks to improve the automation and overall capabilities of AI technologies. By generating data to be used for specified test parameters, situations that couldn't be accounted and tested for from real-world data become plausible, and the advancement of artificial systems and technologies transition from dream to reality.
Below, find a video explaining the technical behind the scenes of artificial data generation, and a list of our capability statements within a variety of professional fields. To the right are a few documents providing brief overviews of instances where synthetic data is used to benefit testing and development for a variety of machine learning applications.
Solution Brief - Virtualized Services
Capability Statement - Statistics
Capability Statement - Intelligence
Capability Statement - Healthcare
Capability Statement - Financial
Synthetic Data is changing the face of Artificial Intelligence and Machine Learning! With solutions being deployed at a higher accuracy, faster rate, and lower cost, it's time to get ahead of the game with our high fidelity, fully synthetic data.
An overview of contact tracing and the concepts of contact, social, and travel networks
A synopsis on the concept of supervised machine learning and our unique performance testing with it
Improving CDC Surveillance Platform
Artificial Manufactured Data Repositories Enabling CDC Integration and Innovation
FDIC DIT Enterprise Test Data Solution
Enterprise Solution for Automated Fully Synthetic Test Data Generation
Simulated Data Training
The use of manufactured simulated data repositories will improve security, cost effectiveness, availability and timeliness for implementation of the MS&T platforms.
VA VEMS ExactData Pilot
How immediately provisioning the correct test data for the development, integration, evaluation and testing
of the new solution will reduce overall program risk, reduce development cost and timelines and create a higher quality end solution