{"id":52969,"date":"2024-11-13T19:43:54","date_gmt":"2024-11-13T16:43:54","guid":{"rendered":"https:\/\/saudishopper.com.sa\/en\/?p=52969"},"modified":"2026-03-28T06:59:20","modified_gmt":"2026-03-28T03:59:20","slug":"sas-acquires-hazy-synthetic-data-software-to-boost-generative-ai-portfolio","status":"publish","type":"post","link":"https:\/\/saudishopper.com.sa\/en\/sas-acquires-hazy-synthetic-data-software-to-boost-generative-ai-portfolio\/","title":{"rendered":"SAS acquires Hazy synthetic data software to boost generative AI portfolio\u00a0"},"content":{"rendered":"\n

Strategic move reinforces SAS leadership in data and AI, enhancing customer innovation and data security<\/p>\n\n\n\n

CARY, NC (Nov. 13, 2024) \u2013 SAS, a global leader in data and AI, today announced the acquisition of the principal software assets of Hazy, a pioneer in synthetic data<\/a> 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. <\/p>\n\n\n\n

\u201cOur acquisition of Hazy\u2019s IP represents a pivotal step in our commitment to innovation in the next generation of data management and AI,\u201d said Jim Goodnight, CEO of SAS. \u201cHazy 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.\u201d <\/p>\n\n\n\n

This move positions SAS at the forefront of data innovation, enabling more robust and secure AI applications, with future integration opportunities with SAS\u00ae<\/sup> Viya\u00ae<\/sup>. By integrating Hazy\u2019s synthetic data capabilities, SAS will empower customers to innovate and conduct deep research, overcoming challenges related to data availability, access or quality. <\/p>\n\n\n\n

Leading the charge in synthetic data innovation  <\/strong><\/h2>\n\n\n\n

According to Kathy Lange, Research Director, AI Software at IDC, \u201cSynthetic data is a game-changer for companies implementing AI solutions, especially in sectors with strict privacy regulations like health care and finance. SAS\u2019 acquisition highlights the growing requirement for synthetic data as an integral component of a modern AI toolkit, addressing data scarcity and privacy issues, and improving model accuracy while reducing biases.\u201d<\/p>\n\n\n\n

Synthetic data, which mirrors the statistical patterns of real data without exposing private, identifiable or restricted information, mitigates risks associated with real data and enhances the scope of data available for analytics and AI. This augmentation leads to robust, reliable results and innovative solutions for data scientists who can shape and balance data sets more effectively.<\/p>\n\n\n\n

Bryan Harris, Chief Technology Officer of SAS, added, \u201cAnalysts 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.\u201d<\/p>\n\n\n\n

Integrating Hazy\u2019s technology expands upon SAS\u2019 initial announcement<\/a> 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. <\/p>\n\n\n\n

With Hazy technology integrated into SAS Data Maker, the ability to simulate multiple future scenarios will give SAS customers a significant competitive advantage through: <\/p>\n\n\n\n