Saltware partners with Starburst to expand on-premises AI data business
Translated from Korean and summarized by DistantNews. Read the original for the full story.
At a glance
- Saltware has partnered with AI data platform specialist Starburst to enhance its on-premises AI data business.
- The collaboration aims to provide robust data security solutions for sensitive sectors like government, defense, and finance.
- Saltware will offer Starburst Enterprise, focusing on customers with stringent data security requirements.
South Korean software company Saltware is bolstering its artificial intelligence data business through a new strategic partnership with Starburst, a global leader in AI data platforms. The collaboration, announced on May 28th, will specifically focus on expanding Saltware's offerings within on-premises environments.
This partnership is designed to address the growing demand for secure AI data solutions in sectors where data protection is paramount. Saltware plans to leverage Starburst's expertise to target clients in public institutions, the defense industry, national strategic sectors, and the financial industry. These clients typically operate under strict data security regulations and require robust platforms that can be managed internally.
Through this alliance, Saltware will offer the 'Starburst Enterprise' platform. This solution is tailored for organizations that need to maintain control over their data while still harnessing the power of AI and advanced analytics. The focus on on-premises deployment ensures that sensitive data remains within the client's own infrastructure, mitigating risks associated with cloud-based solutions for highly regulated industries.
Through this collaboration, Saltware will target customers in sectors requiring high levels of data security, such as public institutions, defense, national strategic industries, and finance, with the 'Starburst Enterprise' platform.
Originally published by Chosun Ilbo in Korean. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.