SAS buys synthetic data software from Hazy to streamline AI development
SAS Institute has acquired intellectual property from Hazy Ltd to integrate synthetic data capabilities into its enterprise analytics portfolio. This strategic move allows organizations to generate realistic datasets that mimic the statistical patterns of sensitive, real-world information without exposing private or identifiable details. By creating these synthetic alternatives, companies can bypass the strict compliance risks associated with using actual confidential data, thereby enabling safer and more flexible utilization of their data for training artificial intelligence models. This development is particularly relevant to the open data community as it challenges traditional barriers to data accessibility. While open data advocates for transparency, strict privacy regulations often necessitate the withholding of detailed records, limiting the depth of public analysis. Synthetic data bridges this gap by providing a rich, usable resource that preserves individual privacy while maintaining analytical utility. It demonstrates a viable pathway to democratize access to complex insights in highly regulated sectors like healthcare and finance, where real data usage is severely restricted. The integration of these tools into SAS Data Maker and Viya platforms highlights the growing necessity of synthetic data as a core component of modern AI infrastructure. Industry experts view this as a solution to data scarcity, improved model accuracy, and bias reduction, signaling a shift toward privacy-preserving innovation. As more businesses adopt generative AI to create synthetic customer data, this technology becomes essential for maintaining trust and compliance. Ultimately, it offers a robust alternative to expensive traditional data collection methods, accelerating AI development while upholding ethical data standards.
Source: siliconangle.comPublished on 2024-11-14
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