SAS has acquired Hazy’s software assets to expand its generative AI and synthetic data offerings.
Analytics specialist SAS announces the acquisition of Hazy’s core software assets. With this strategic acquisition, SAS further expands its extensive data and AI portfolio, giving customers access to essential and up-to-date synthetic data generation capabilities. This is becoming increasingly important as the use of AI grows rapidly.
AI capabilities
With the acquisition of Hazy’s software technology, SAS is integrating advanced synthetic data generation functionalities into its portfolio. The company emphasizes that this technology enables organizations to strengthen data analytics, ensure privacy and accelerate the development of AI applications. Among other things, Hazy’s technology will be integrated into SAS Data Maker, a tool launched in 2024 that helps companies tackle data challenges without compromising user privacy.
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SAS strengthens AI portfolio with acquisition of synthetic data software from Hazy
According to SAS CEO Jim Goodnight, the integration of Hazy’s technology provides new opportunities for customers to perform simulations and analysis with synthetic data. Hazy has strong expertise in synthetic data technology, according to Goodnight, which helps SAS customers better leverage data for experiments and modeling that was previously difficult to perform.
Privacy and reliability
The synthetic data market is growing rapidly, especially in sectors where privacy is essential, such as healthcare and finance. Kathy Lange of IDC confirms that synthetic data provides a solution to data scarcity and privacy challenges while promoting accuracy and bias control in AI models. SAS CTO Bryan Harris expects the use of synthetic data in enterprise AI applications to increase significantly, which he says gives SAS an edge in implementing secure and scalable AI solutions.
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SAS strengthens AI portfolio with acquisition of synthetic data software from Hazy
Synthetic data, which mimics statistical patterns of real data without revealing personal or sensitive information, reduces the risks associated with real data. For SAS customers, this means improved privacy and security in their AI projects, and opportunities to generate new data quickly and cost-effectively. SAS predicts this solution will help companies save time, reduce costs and develop reliable AI applications. The enhancements will be rolled out globally, with the first preview scheduled for early 2025.