Strategic move reinforces SAS leadership in data and AI, enhancing customer innovation and data security
SAS acquires the principal software assets of Hazy, a pioneer in synthetic data technology. This strategic acquisition aims to enhance SAS’ robust data and AI portfolio, further equipping its customers with critical and timely synthetic data generation capabilities as their use of AI rapidly expands.
“Our acquisition of Hazy’s IP represents a pivotal step in our commitment to innovation in the next generation of data management and AI,” said Jim Goodnight, CEO of SAS. “Hazy is a pioneer in bringing synthetic data to market as a viable enterprise product, and analysts rank it among the top software providers in its category. By integrating their technology, we can offer our customers unparalleled opportunities to harness data safely and effectively, enabling them to experiment and model scenarios that were previously out of reach and gain a competitive advantage.”
“Our acquisition of Hazy’s IP represents a pivotal step in our commitment to innovation in the next generation of data management and AI.” Jim Goodnight, CEO of SAS.
This move positions SAS at the forefront of data innovation, enabling more robust and secure AI applications, with future integration opportunities with SAS® Viya®. By integrating Hazy’s synthetic data capabilities, SAS will empower customers to innovate and conduct deep research, overcoming challenges related to data availability, access or quality.
With Hazy technology integrated into SAS Data Maker, the ability to simulate multiple future scenarios will give SAS customers a significant competitive advantage through:
- Enhanced innovation and research by providing access to rich, synthetic data sets that were previously out of reach, fostering new opportunities and breakthroughs.
- Faster time –to market via rapid generation of high-quality synthetic data, accelerating the development cycle for AI projects.
- Trustworthy AI systems with robust synthetic data processes and diverse synthetic data sets, enabling organizations to develop reliable AI systems that adhere to ethical standards.
- Increased data privacy and security by generating synthetic data that does not expose real, identifiable information, allowing organizations to operate with confidence.
- Cost savings by minimizing the reliance on costly data collection methods, making data for analytics more accessible.
The enhanced data solutions resulting from this acquisition will be available globally, with an initial preview expected in early 2025.
