Indeed, if predictions from Gartner are accurate, by 2030, “synthetic data will completely overshadow real data in AI models.” ...

As AI adoption accelerates across industries, synthetic data are emerging as a powerful tool for training models, especially when real-world data are scarce or sensitive. This type of data can be ...

As the demand for high-quality training data continues to surge, synthetic data is emerging as a game-changing tool in the ...

Real-world data is often messy, expensive, or locked behind privacy regulations like GDPR or Nigeria’s NDPR. Synthetic data, generated by AI models like GANs (Generative Adversarial Networks ...

AI-driven automation offers businesses a powerful solution to streamline operations, boost efficiency and reduce manual ...

AI’s growth is limited by poor-quality data, not model size. Human expertise in data curation, decentralized feedback and ...

Further, these models might lack accuracy and scope due to insufficient breadth and depth in the data, slowing down innovation in sectors that depend significantly on AI adoption. While synthetic ...

They ranged from a series of enhancements to its Viya platform to a set of new custom AI models aimed at specific ... developers and end users. SAS Data Maker, a synthetic data generator which ...