SAS has announced enhanced synthetic data capabilities and support for digital twins, aimed at improving enterprise decision making. Synthetic data, crucial for training AI models without risking sensitive information, is made easier to generate through the new SAS Data Maker platform, a low-code/no-code solution. Announced at SAS Innovate 2025, SAS also highlighted collaboration with Georgia-Pacific and Epic Games to create a digital twin for simulating factory operations, showcasing the potential for operational improvements and facilitating analytics access for workers. The general release of Data Maker is targeted for Q3 2025.
SAS aims to enhance data-driven decision making through synthetic data capabilities and digital twin support, helping organizations train AI without exposing sensitive information.
SAS Data Maker, a low-code/no-code platform, is set to facilitate the easy generation of synthetic data, ensuring quality and auditability for AI training.
At SAS Innovate 2025, the emphasis was on using existing data for advanced simulations, exemplified by a collaboration with Georgia-Pacific and Epic Games.
The partnership utilized Epic Games' Unreal Engine to create a digital twin of a factory, enabling valuable analyses for operational efficiency and accessibility for workers.
Collection
[
|
...
]