[AI Brief] KOSA to Operate Korea Full-Stack AI Pavilion at Saudi Arabia’s LEAP 2026
IT DAILY ·
✦ AI Summary
KOSA participated in LEAP 2026 in Riyadh, Saudi Arabia, and operated a "Korea full-stack AI pavilion" with domestic AI and cloud companies.
FuriosaAI, Upstage, NC AI, UCL, and MegazoneCloud took part in the pavilion, showcasing capabilities in AI semiconductors, models, platforms, and infrastructure.
KOSA said it will pursue expanded local cooperation and serve as a bridgehead based on Korea’s full-stack AI capabilities.
The iTDaily "AI Brief" section presents a roundup of major AI news from Korea and abroad.
In this item, the Korea Software Industry Association (KOSA) is reported to be operating a Korea full-stack AI pavilion at Saudi Arabia’s LEAP 2026. A photo of the Korea full-stack AI pavilion at LEAP 2026 was also included.
KOSA will jointly participate with domestic AI and cloud companies to showcase Korea’s full-stack AI capabilities for the Middle East market. The scope covers AI semiconductors, cloud infrastructure, large language models (LLM), and industry-specific AI.
KOSA will place an integrated package that encompasses these elements front and center, and use it as a basis to expand local cooperation.
KOSA said it participated on the 4th in LEAP 2026, a global big tech exhibition held in Riyadh, Saudi Arabia, and operated a "Korea full-stack AI pavilion" with domestic AI and cloud companies. FuriosaAI, Upstage, NC AI, UCL, and MegazoneCloud took part in the pavilion, jointly presenting capabilities in AI semiconductors, models, platforms, and infrastructure.
FuriosaAI unveiled "Renegade," a next-generation AI semiconductor for LLM and agentic reasoning, and Upstage unveiled its document structuring solution "Document Parse" and the LLM "Solar Pro 4." NC AI demonstrated its "digital twin for physical AI" technology for virtualizing industrial sites, while UCL introduced its enterprise AI orchestration platform "Orda" and its AI agent development and operations platform "Athena." MegazoneCloud presented integrated MSP and platform-building capabilities for optimizing AI semiconductor and cloud infrastructure management.
KOSA Chairman Cho Joon-hee emphasized that amid intensifying global AI competition, full-stack cooperation covering AI semiconductors, models, and infrastructure, rather than individual market entry, is becoming a competitive advantage in overseas markets. He also said the group will pursue tangible cooperation outcomes in Saudi Arabia based on Korea’s full-stack AI capabilities and serve as a bridgehead while expanding the local cooperation base.
According to Workday’s fiscal 2027 second-quarter earnings announced on the 4th, total revenue rose 12.8% year over year to USD 2.649 billion. Subscription revenue increased 13.9% year over year to USD 2.471 billion.
Operating income was USD 313 million, with an operating margin of 11.8%. Non-GAAP operating income came to USD 824 million, and the Non-GAAP operating margin was 31.1%.
Non-GAAP diluted earnings per share were USD 2.75. That was up from Non-GAAP diluted EPS of USD 2.21 in the same period last year.
The 12-month subscription revenue backlog increased 14.2% year over year to USD 9.034 billion. Total subscription revenue backlog rose 8.0% year over year to USD 27.403 billion.
Anil Bursi, Workday co-founder, CEO, and chairman of the board, said the second-quarter results were solid. He also explained that AI is driving more than 25% of new annual contract value (ACV), and that more than 5,500 customers are using Workday’s in-house developed agents.
Jane Rowe, Workday CFO, said the company’s platform-wide growth momentum continued in connection with the second-quarter results. She added that AI is emerging as a strategic driver of customer expansion.
Rowe also said the company continues to improve operational efficiency by scaling up. She added that it is maintaining investment priorities for its agentic AI roadmap and platform growth opportunities.
The article then shifts to the collaboration between Ascent AI and Doublescore. The photo shows Ascent AI CEO Park Se-yong and Doublescore CEO Oh Seung-jong.
Ascent AI is pushing to target the AI data analytics market for public institutions and universities. To this end, it plans to use search intent analysis technology to identify policy demand and student interest, and apply that to policy design and admissions promotion strategy development.
Ascent AI and Doublescore announced on the 4th that they had signed an MOU on "business cooperation in the field of AI-based consumer intent analysis services." The agreement was pursued with the goal of jointly discovering and expanding AI data analytics services specialized for the public and education markets by combining Ascent AI’s search intent analysis technology with Doublescore’s business execution experience in public institutions and universities, as well as its digital marketing capabilities.
Under the agreement, Ascent AI and Doublescore decided to divide roles and cooperate. According to the agreement, Ascent AI will provide the "ListeningMind" service, technical support, and sales resources, while Doublescore will be responsible for prospecting potential customers, introducing the service at an early stage, and carrying out joint marketing activities.
The two companies plan to combine their existing marketing business with ListeningMind. Through this, they will first carry out data consulting to support policy and business demand analysis for public institutions and data consulting to support student admissions promotion strategy development for university admissions offices.
They plan to expand cooperation to include publishing intent reports specialized for public institutions and universities, supplying search data analytics software as a service (SaaS), and policy and admissions strategy consulting.
Meanwhile, Exem held an Oracle DB SQL tuning seminar. The event was designed for personnel in charge of operating Oracle databases (DB).
At the seminar, Exem shared its SQL tuning know-how. The photo shows the scene at Exem’s Oracle database SQL tuning seminar.
Exem held an Oracle database (DB) SQL tuning seminar on the 3rd and announced it on the 4th. The seminar was organized as a venue to share SQL tuning insights for resolving Oracle DB performance issues.
The presentation was delivered by Exem consultant Kim Gyu-min. Kim conveyed tuning-target selection, SQL plan interpretation, index optimization, join optimization, and subquery improvement as a step-by-step SQL tuning methodology from a practical perspective.
Exem also introduced its own solutions to customers attending the seminar. The solutions introduced were the AI-enhanced observability solution "Exem One," the soon-to-be-launched AI-based SQL tuning solution, and the large language model operations (LLMOps) platform "Exemble."
Exem CEO Ko Pyeong-seok said that databases are a key factor determining the performance and cost of AI infrastructure, and added that the company will use the tacit knowledge of Exem engineers and AI to keep customers’ databases in optimal condition.
Source: IT DAILY · Yang Seung-gap
Original: https://www.itdaily.kr/news/articleView.html?idxno=241407
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Source: IT DAILY
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