SAS, a global provider in data and AI, acquired the principal software assets of Hazy, a pioneer in synthetic data technology. This strategic acquisition aims to enhance SAS’ data and AI portfolio, further equipping its customers with synthetic data generation capabilities as their use of AI rapidly expands.
Synthetic data generation provides enterprises with secure, cost-effective access to high-quality datasets, accelerating AI development by eliminating the need for costly and time-intensive data collection. It enables organisations to explore new opportunities, simulate scenarios, and build ethical, trustworthy AI systems while enhancing data privacy and compliance, ensuring risk-free innovation.
SAS customers will experience enhanced innovation and research capabilities, gain a competitive edge through simulation of multiple future scenarios, and development of trustworthy AI systems. There are several advantages with the integration of Hazy’s innovative synthetic data technology into the SAS Data Maker offering.
It enables enhanced innovation by providing access to rich synthetic datasets, accelerating research and breakthroughs. Faster time-to-market is achieved through rapid generation of high-quality synthetic data, streamlining AI development. Customers can build trustworthy AI systems with diverse, ethical datasets while ensuring privacy and security, as synthetic data eliminates exposure of real, identifiable information.
Additionally, organisations benefit from cost savings by reducing reliance on expensive data collection methods, making advanced analytics more accessible and driving competitive advantage through trustworthy and efficient data-driven solutions.
Tools like SAS Data Maker, enhanced with Hazy’s technology, streamline this process, enabling rapid generation of high-quality synthetic datasets. These datasets can be tailored for specific use cases, making them ideal for innovation, research, and training robust AI models.
With the integration of Hazy’s capabilities into SAS Data Maker, customers can overcome challenges related to data availability, access, and quality, driving faster time-to-market and fostering the development of robust AI solutions.
Synthetic data generation is all about creating artificial datasets that statistically mirror real-world data, without exposing any sensitive or identifiable information. By replicating the patterns and characteristics of actual data, synthetic data allows enterprises to conduct advanced analytics and AI training while maintaining data privacy.
This makes it truly instrumental in addressing challenges like data scarcity, privacy concerns, and ethical considerations. Importantly, synthetic data enables organisations to innovate and simulate real-world scenarios securely, making it a cornerstone for developing trustworthy and robust AI systems.
The process of generating synthetic data begins with analysing a real dataset to identify patterns, correlations, and statistical characteristics. Advanced algorithms, often powered by AI, will then replicate such traits with new data points, without duplicating original data in order to safeguard privacy.
All market segments can benefit from synthetic data, but industries with stringent privacy regulations, such as government, public security, healthcare and finance, stand to gain the most. These sectors often face data scarcity or access challenges due to compliance requirements, making synthetic data invaluable.
Large enterprises and organisations focused on AI innovation, research, and simulation will find significant value in synthetic data generation. Smaller businesses, too, can use these technologies to reduce costs and improve data accessibility. With SAS Data Maker’s synthetic data capabilities, enterprises of all sizes can enhance privacy, minimise biases, and unlock powerful analytics potential.
