CJ OliveNetworks said on the 30th that it successfully wrapped up the "AX INFRA & OPS 2026" conference, which shared strategies for building and operating artificial intelligence (AI) infrastructure.
Held on the 24th at the CJ Human Resources Center in Jung-gu, Seoul, the event ran under the theme "Design intelligence, the core of AI business." It drew interest from industry officials by emphasizing the importance of designing AI infrastructure that works in real business environments, beyond simple technology adoption.
About 100 IT officials from various industries, including retail, manufacturing and finance, attended the event to share infrastructure architecture and execution strategies needed for operating AI businesses.
At the conference, CJ OliveNetworks unveiled an AX roadmap covering the entire process from establishing AI infrastructure strategy to buildout, operations and expense optimization. In particular, global partners including AWS, Datadog, Dnotitia and Kong joined to present real-world applications and technical insights.
The conference consisted of three keynotes and four sessions. Along with sessions that laid out cloud-based AI infrastructure strategies and operational direction, it strengthened practical content by covering real build cases and data/system integration measures.
CJ OliveNetworks defined AI not as a simple technology but as an "operating system," and said that designing the data environment and organizational culture must come first for a successful AI transition. It also emphasized that securing full-stack visibility based on AIOps in a Hybrid Cloud environment is key to preventing failures and ensuring business continuity.
It also stressed that expense reduction and an operations strategy centered on FinOps are factors that determine the sustainability of AI transformation, and presented one-stop service capabilities that support the entire process from strategy development to operations.
Kim Gi-su, head of the Cloud Business Team at CJ OliveNetworks, said, "The success or failure of AX depends not on one-off technology adoption but on sustainable infrastructure design and an expense-efficient operating structure," adding, "We will strengthen collaboration with global partners to expand the standardization of AI infrastructure."