Saltware, Starburst Forge Partnership for On-Premises AI Data Platforms
IT DAILY ·
✦ AI Summary
Saltware announced on the 28th that it has signed a strategic partnership with Starburst.
The two companies will promote the supply of on-premises-centered AI data platforms for customers operating separate internet and business networks in public institutions, defense, national strategic industries, and financial firms.
'Starburst Enterprise' is an enterprise data platform based on Trino that supports nonmoving connectivity for distributed data and enables search and analysis.
Saltware announced on the 28th that it has signed a strategic partnership with Starburst. Recently, adoption of SaaS-based data platforms using public clouds such as AWS, MS Azure, and GCP has been expanding.
However, in some cases it is difficult to move data to external clouds because of security and regulatory concerns, and that has relatively constrained some companies' and institutions' adoption of AI data platforms. This barrier has been especially evident among organizations that require a high level of data security, such as customers operating separate internet and business networks.
The collaboration between the two companies is aimed at this demand, and Saltware plans to expand its on-premises-centered AI data platform business. To that end, Saltware planned to supply its 'Starburst Enterprise' AI data platform.
The target customers are public institutions, defense, national strategic industries, and financial firms that operate separate internet and business networks. The photo shows Jiunn Hao Choo, Starburst APAC Partner Sales Director, and Lee Jeong-geun, CEO of Saltware.
Demand is growing for data platforms that allow data to be used safely for AI within a company's own infrastructure without moving it outside. In organizations centered on their own data centers and servers, including government agencies, defense, national strategic industries, and financial institutions, the need to use important data while keeping it inside has been rising.
In these organizations, the importance of on-premises data environments is also growing further. The more an organization operates around its own data centers and servers, the more it needs an environment where important data can be used while remaining inside the company.
Against this backdrop, Saltware plans to support the building of an AI utilization foundation while preserving existing on-premises environments and data assets through the partnership. The company is focusing on enabling AI use without moving data externally and while maintaining existing environments.
In this process, 'Starburst Enterprise' is presented as the means. 'Starburst Enterprise' is an enterprise data platform based on Trino for enterprise use, supporting nonmoving connectivity for data distributed across multiple systems within a company and enabling search and analysis of distributed data. It also uses enterprise Trino rather than open-source Trino and improves data search and ingestion performance by more than 30% compared with the existing open-source-based version.
This support focuses on enabling fast search and ingestion of various types of data, including structured and unstructured data. It centers on helping users use collected data in the AI environment they need by quickly securing data in multiple forms and putting it to use in the required AI environment.
As a result, companies can maintain their existing data storage and operations environments and effectively use the data needed to build AI service and analytics environments. It is a structure that supports the use of data needed for AI services and analytics while preserving existing operating foundations.
Saltware's strategy lies in combining its cloud infrastructure build and operations capabilities with Starburst's data platform technology. The goal is to provide AI data infrastructure optimized for customer environments, and the expanded scope covers public cloud, on-premises, and hybrid environments. It also plans to build AI data platforms tailored to customers' security policies and data operations environments.
In addition, the planned expansion of the partnership goes beyond simply supplying a data platform and extends to data and AI implementation projects. The company plans to connect customers' existing data into forms that can be used for AI and to link that connected data with actual AI services.
Lee Jeong-geun, CEO of Saltware, said that AI adoption cannot be achieved with models alone, and that to use AI, infrastructure and a data platform for effectively connecting and using a company's own data, in addition to models, are also needed.
He said Saltware plans to combine its cloud and AI infrastructure build capabilities with Starburst's data platform technology. Through this, he explained, the company plans to support the protection of customers' important data assets and the building of desired AI environments, and to expand related businesses that provide data and AI utilization environments based on customers' own infrastructure for public institutions, defense, finance, and national strategic industries that face constraints in using external clouds.
Saltware held an 'Amazon Quick AI Workshop' on the 4th. In this workshop, which used the workplace AI assistant 'Amazon Quick,' participants carried out hands-on exercises in connecting enterprise data, analyzing data based on natural language, building AI agents, and automating work, helping them practice how to apply it in real business settings.
Source: IT DAILY · Kwon Young-seok
Original: https://www.itdaily.kr/news/articleView.html?idxno=241269
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Source: IT DAILY
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