As a relatively new technology, synthetic data was once seen as a lower-quality substitute for real data, but adoption is accelerating. By Bryn Davies, CEO, InfoBluePrint. Johannesburg, 11 Jun 2025 ...

Synthetic data generation has emerged as a crucial technique for addressing various challenges, including data privacy, scarcity and bias. By creating artificial data that mimics real-world datasets, ...

Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety. Devops teams aim to increase deployment frequency, reduce the number of ...

A conditional generative adversarial network architecture was implemented to generate synthetic data. Use cases were myelodysplastic syndromes (MDS) and AML: 7,133 patients were included. A fully ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The Department of Homeland Security and Chief Data Officers Council put out calls recently for products and insight on synthetic data generation. Government agencies are on the hunt for vendors and ...

The new API is designed to speed up the agent development and testing process so agents can be deployed in production faster. As enterprise demand for building multi-agent systems continues to grow, ...

Synthetic Test Data for Artificial Intelligence (AI) Market · GlobeNewswire Inc. Dublin, Jan. 29, 2026 (GLOBE NEWSWIRE) -- The "Synthetic Test Data for Artificial Intelligence (AI) Global Market ...

(MENAFN- EIN Presswire) EINPresswire/ -- "The synthetic test data generation market is rapidly evolving as organizations seek innovative ways to handle growing data demands while maintaining privacy ...