Artificial intelligence (AI) is increasingly being used to fill data gaps, in ways that hold a lot of promise for SDGs monitoring. As we approach the 2030 deadline, there are still many people – ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

Strict data privacy regulations have compelled companies to transition to using synthetic data, the ideal substitute for real data, containing similar insights and properties yet is more privacy-safe ...

PhD, MBA, CTO at John Snow Labs. Making AI & NLP solve real-world problems in healthcare, life science and related fields. Artificial intelligence (AI) and machine learning applications are widely ...

As more companies invest in generative AI (gen AI) for bespoke use cases and products, proprietary data is becoming increasingly important to training large language models (LLMs). Unlike ChatGPT, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Synthetic data will be a huge industry in five to 10 years. For instance, ...

Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. Businesses that use ...

Synthetic data technology startup Synthesis AI Inc. said today it’s updating its platform with a couple of interesting add-ons that will make it possible to create vast amounts of perfectly labeled ...