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

Databricks Inc. today introduced an application programming interface that customers can use to generate synthetic data for their machine learning projects. The API is available in Mosaic AI Agent ...

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 – ...

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 ...

Finding data to train AI models has become a major headache for enterprises, as they have largely exhausted the most useful publicly available datasets. While organizations possess valuable ...

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, ...

Whether you’re generating data from scratch or transforming sensitive production data, performant test data generators are critical tools for achieving compliance in development workflows.

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 ...

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 ...

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 ...