SAS, a leader in data and AI, has acquired the primary software assets of Hazy. Hazy is a pioneer in synthetic data technology. This move strengthens SAS’s AI capabilities, offering customers enhanced synthetic data generation as AI use expands.
Jim Goodnight, CEO of SAS, described the acquisition as key to SAS’s innovation, highlighting Hazy’s status as a top provider. Integrating Hazy’s technology will allow customers to experiment and model scenarios more safely, providing a competitive edge.
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A Powerful Partnership for Data Innovation
The acquisition positions SAS at the forefront of data innovation. Especially for secure AI applications, with plans to integrate Hazy’s capabilities into SAS® Viya®. This will empower customers to tackle data availability and quality challenges effectively.
Kathy Lange of IDC noted that this kind of data is crucial for AI in sectors with strict privacy regulations. For example in healthcare and finance. SAS’s acquisition underlines synthetic data’s role in addressing data scarcity, privacy, and bias in AI.
Bryan Harris, SAS’s CTO, stated that by 2026, 75% of businesses are expected to use generative AI to create synthetic data. It underscores SAS’s leadership in the field. With this data, customers can innovate and access previously unavailable data.
SAS’s integration of Hazy’s technology will expand SAS Data Maker. The Data Maker already generates synthetic data that represents original datasets without compromising privacy. With Hazy, SAS customers gain access to richer data, faster project cycles, trustworthy AI, enhanced data privacy, and cost savings. The upgraded solutions will be previewed in early 2025.
Unlocking New AI Possibilities
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 data processes and diverse synthetic data sets, enabling organisations to develop reliable AI systems that adhere to ethical standards.
Increased data privacy and security by generating this data that does not expose real, identifiable information, allowing organisations to operate with confidence.
Cost savings by minimising 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.
