TeraData Pushes Into Korea With Next-Gen AI Platform, Secures Local Technical Support Staff
TECHWORLD ·
✦ AI Summary
TeraData has moved to step up its push into the domestic market with the AI data solutions it unveiled this year.
The company plans to secure and expand local technical support staff, broaden its partner ecosystem, and expand into key industries such as the public sector, finance and retail.
Executive Vice President Josh Abbott said Korea is a key strategic market with strong AI demand, and noted plans to increase investment and further expand the partner ecosystem.
TeraData has moved to step up its push into the domestic market with the AI data solutions it unveiled this year. The company helps enterprises use AI by combining its existing data warehouse (DW) with an AI data layer.
To support this effort, TeraData plans to secure and expand local technical support staff. It also plans to expand its partner ecosystem. The company is also pursuing a strategy to grow its business centered on key industries such as the public sector, finance and retail.
In an interview on the 14th, Josh Abbott, executive vice president in charge of TeraData's Asia-Pacific and Japan (APJ) region, identified Korea as a key strategic market with strong AI demand. He said the Korean market is one of the company's core strategic markets and explained plans to increase investment in Korea and further expand the partner ecosystem.
TeraData Korea first plans to secure technical support staff in Korea. The company is also preparing to hire additional employees in areas including marketing. In addition, it is pursuing the hiring of specialists who can support customer PoC and actual deployments. The speaker cited technical staff who can provide immediate support for PoC as the first investment target. He also said that as customer needs are changing faster, immediate support has become important.
The company plans to expand its partner ecosystem by finding additional partners. TeraData Korea currently has 7 domestic resellers. However, a master distributor has not yet been decided. In line with its global partnership policy, the company is also considering selecting a master distributor after verification.
This trend is linked to the expansion of the domestic ecosystem. TeraData is a company built on the enterprise DW market. It also has large-scale data processing and analytics technology. In addition, it has customers across a range of industries, including finance and the public sector.
TeraData is combining AI with its existing data platform to keep pace with changes in the AI era. The company is also expanding its business based on AI integration. This latest reinforcement of local technical support capabilities, along with hiring, partner expansion and a review of master distributor selection, is connected to that direction.
The company has put Autonomous Knowledge forward as the core of its AI-centered business, and based on that, it is moving aggressively to target the market by unveiling Tera Context Engine and Tera Harness this year.
Among these, TeraData's main focus is Tera Context Engine. Tera Context Engine is designed to connect the lineage of data across distributed heterogeneous environments and link the business meaning of the data to support AI use. Tera Harness is responsible for coordinating the execution of AI agents' tasks and managing AI agents' operations.
The company said that in a public benchmark test comparing two agents built on the same foundation model, Tera completed tasks in less time and at lower cost than Claude Code, while achieving equal or better accuracy. It also said demand from domestic customers for Tera Context Engine is strong, and some customers are requesting Tera Context Engine on its own.
TeraData has long experience in the data platform market, but it said context engines have already been implemented by competitors, making it difficult to achieve immediate differentiation with context engine technology alone. As a result, the company emphasized integrated data management capabilities that combine its existing DW technology, heterogeneous data connectivity and industry-specific data models as its differentiator.
The company also presented as a competitive strength its ability to connect data distributed across diverse environments such as on-premises and cloud, and to help AI make use of that connected data. It described its data management capabilities by highlighting the function of connecting data scattered across multiple environments so AI can use it.
The company also proposed stronger pricing policies to ease the cost burden of enterprise AI adoption. It plans to introduce a new pricing structure focused on product modularization and greater operational flexibility, with the goal of reducing the cost of using the data platform.
He said that a groundbreaking new pricing structure is being launched in Asia, explaining that product modularization and flexibility were taken into account. He also described it as a very aggressive offer that includes a fixed-price plan and an unlimited delivery model.
Source: TECHWORLD · Kim Hye-jin
Original: https://www.epnc.co.kr/news/articleView.html?idxno=408223
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Source: TECHWORLD
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