SAS acquires Hazy synthetic data software to boost generative AI portfolio
SAS, a leader in data and AI, has announced the acquisition of 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.”
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.
“Analysts predict that by 2026, 75% of businesses will use generative AI to create synthetic customer data, up from less than 5% in 2023. For SAS customers, this marks a strategic leap, solidifying SAS’ leadership in AI and analytics. With synthetic data, customers can innovate and research more deeply, accessing data that was previously out of reach due to availability, access or quality issues.” Bryan Harris, Chief Technology Officer of SAS, said.
Integrating Hazy’s technology expands upon SAS’ initial announcement of SAS Data Maker in early 2024. SAS Data Maker addresses data challenges by generating synthetic data that statistically represents original data sets without compromising privacy, while simplifying processes and saving resources.
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