TmaxSoft Expands Public AI and DX Wins in First Half, Puts Full Effort Into Major Second-Half Projects
IT DAILY ·
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TmaxSoft said it plans to expand its push for next-generation large-scale projects in the second half, based on its first-half performance in winning public-sector AI and DX support projects.
In the first half, it signed multiple contracts with public institutions to convert foreign and open-source WAS systems to its own products, and the projects included AI information systems for major state-owned enterprises.
The company said it will respond to follow-on projects and public AX demand based on 29 years of accumulated capabilities and more than 4,000 references, and it also plans to introduce AI business platforms and integration products in the second half.
TmaxSoft said on the 19th that, based on its first-half performance in winning public-sector AI and DX support projects this year, it plans to expand its push for next-generation large-scale projects in the second half. In the first half, TmaxSoft signed multiple contracts with public institutions to convert foreign and open-source WAS systems to its own products.
The projects won in the first half included the construction of AI information systems for major state-owned enterprises, expansion of server virtualization infrastructure SW, development of mobile WAS, and construction of information management systems for public institutions. The company said it plans to carry out the projects based on its competitiveness in public AI and cloud environments.
The company attributed these results to the capabilities it has accumulated over 29 years and its portfolio of more than 4,000 references. Those references span major sectors such as public sector, finance, manufacturing, and telecommunications, and the company said its efforts to identify business opportunities aligned with the government's push for public AI transformation, or AX, also contributed to the results.
TmaxSoft plans to leverage the public-sector references secured through these orders to respond to follow-on projects. On that basis, it intends to strengthen its push for next-generation large-scale projects in the second half.
In the public sector in the second half, large next-generation projects to upgrade information resources, such as aging infrastructure at public institutions and state-owned enterprises and education operating environments, are expected to emerge as key business opportunities. Demand is also expected to rise for AI government implementation, cloud transition, system linkage and integration, and disaster recovery, or DR, deployment.
To match this, TmaxSoft said it will continue to make strategic business proposals based on a diversified portfolio beyond its WAS products. The portfolio includes the integration and linkage interface platform 'AnyLink' and the TP monitor 'Tmax,' which strengthens transaction-processing stability and business reliability.
As an extension of this strategy, TmaxSoft will participate in the '8th AI Government Innovation Conference' to be held on the 27th at the Government Complex Sejong Convention Center, and it will operate an exhibition booth on the day of the event. There, it plans to introduce its AI business platform 'Continuum AI' as well as 'Zeus,' 'WebtoB,' and 'AnyLink' to promote its competitiveness in supporting AI-based administrative innovation.
Kim Gye-young, head of TmaxSoft's Public Business Division, a senior managing director, said he expects the government's priority push for public AX to accelerate further in the second half, and that the possibility of such public AX demand translating into actual business opportunities has also increased. He added that the company plans to simultaneously pursue win-back projects, infrastructure construction, next-generation large-scale projects, and new AI-based businesses, while continuously strengthening its sales pipeline to target these opportunities in a combined way.
Source: IT DAILY · Yang Seung-gap
Original: https://www.itdaily.kr/news/articleView.html?idxno=241073
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Source: IT DAILY
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