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SAS just lately introduced the acquisition of UK-based Hazy, one of many earliest pioneers of artificial information expertise. Headquartered in North Carolina, SAS has been pushing the boundaries of next-generation AI for years. This newest acquisition will increase the corporate’s operations within the discipline of AI, bolster its present AI portfolio, and provides prospects the technique of producing artificial information as wanted.
“By integrating their technology, we can offer our customers unparalleled opportunities to harness data safely and effectively,” mentioned SAS CEO Jim Goodnight, “enabling them to experiment and model scenarios that were previously out of reach and gain a competitive advantage.”
What is Hazy?
Founded in early 2017, Hazy was the primary firm to leverage artificial information on the enterprise degree. Meant to imitate information from the actual world, artificial information expertise makes use of generative AI algorithms to determine and imitate the patterns, tendencies, and buildings generally seen in real-world information. This is useful in varied methods:
- Reduces compliance and information privateness dangers
- Eliminates pure biases that may skew the outcomes of knowledge assortment and analytics
- Streamlines inside processes through the use of check information to validate new techniques and exterior distributors
While genuine, real-world datasets are required for the preliminary coaching of Hazy’s AI system, the software program can generate artificial information as wanted.
What is SAS?
Also often known as the Statistical Analysis System, SAS started as an agricultural software program mission to investigate soil, climate, and crop seeds. With 100 prospects by 1976, the mission’s individuals based SAS Institute, Inc. to supply technical assist and common software program updates. The crew at SAS has been driving innovation in information analytics ever since, and, contemplating the latest SAS acquisition information, the crew will proceed to steer the sector for years to return.
