Getting access to the right data in the right amounts remains a major obstacle for a range of digital endeavors, from developing AI models to testing software applications. If you find yourself short ...

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To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

I've posted two articles about synthetic data, both highly skeptical about the hype surrounding it. In Can synthetic data bridge the AI training data gap? (July 2021), I wrote: The problem of ...

Long before most of us were thinking about large language models, DataCebo co-founders Kalyan Veeramachaneni and Neha Patki were creating an open source library called Synthetic Data Vault, or SDV for ...

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 ...

Synthetic Data Metrics is an open-source Python library for evaluating model-agnostic tabular data by pitching machine generated data sets against real data sets. MIT Computer Science & Artificial ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) models—specifically, generative AI (GenAI) models—are becoming ...