[Photo 1] A CJ OliveNetworks official explaining AI infrastructure strategies to a booth visitor at 'AX INFRA & OPS 2026.'

- Held 'AX INFRA & OPS 2026' at the CJ Human Resources Development Center on the 24th, presenting AI infrastructure strategies and operational directions.

- Presented a roadmap for customized corporate AX, with major global partners such as AWS, Datadog, and Dnotitia participating in presentations and booth operations.

- CJ OliveNetworks is expanding its role as an integrated AX infrastructure operations service by strengthening its one-stop capabilities from design to deployment, operations, and optimization.

CJ OliveNetworks announced that it had successfully concluded its "AX INFRA & OPS 2026" conference, where the company shared strategies for AI infrastructure construction and operations.

Held on March 24, 2026 at CJ Humanville in Seoul, the event was organized under the theme "Architecting Intelligence: The Core of AI Business." Going beyond simple technology adoption, the event drew strong industry interest by highlighting the importance of designing AI infrastructure that powers business operations.

About 100 IT officials from various industries including retail, manufacturing, and finance attended, sharing infrastructure architecture and execution strategies needed for AI business operations.

AI transformation (AX) has evolved beyond isolated technology adoption into a strategic business initiative that requires integrated design of data environments and operating systems. CJ OliveNetworks has built up a track record of AX success models based on project experience accumulated across diverse industries, including CJ Group's key businesses in food & food service, biotech, logistics & new retail, and entertainment & media.

At the conference, CJ OliveNetworks unveiled an AX roadmap covering the entire process from AI infrastructure strategy formulation to construction, operation, and cost optimization. In particular, leading global partners such as AWS, Datadog, Dnotitia, and Kong took part in presentations and booth operations, adding expertise by sharing real-world application cases and technical insights.

The conference consisted of three keynotes and four presentation sessions. Part 1, "Insight & Strategy," offered recommendations on cloud-based AI infrastructure strategy and operational direction, while Part 2, "Practice & Connection," delivered real-world implementation cases and approaches for data and system integration.

At the event, CJ OliveNetworks co-operated a booth with AWS, spotlighting its one-stop service capability as an "End-to-End AX Lifecycle" partner responsible for everything from strategy formulation to infrastructure construction, operation, and cost optimization.

The company explained that AI should be defined not merely as a technology adoption but as an operational "practice," and that a data environment and corporate culture optimized for AI learning must be designed first for successful AX. It also presented that securing AIOps-based "full-stack visibility" in increasingly complex hybrid cloud environments is a key driver that goes beyond failure prevention to ensure business continuity.

[Photo 2] Attendees listening to a session presentation at 'AX INFRA & OPS 2026.'

Furthermore, the company highlighted its differentiated managed service expertise by emphasizing that practical cost reduction and FinOps-driven value optimization - rather than technological sophistication alone - are the key factors in ensuring sustainable AX.

Through this, CJ OliveNetworks solidified its position beyond a conventional MSP role to become an "AX infrastructure managed service provider," showcasing service competitiveness centered on industry-specific expertise, AI-based integrated operational visibility, and cost optimization capability.

CJ OliveNetworks officials said, "The success or failure of AX depends not on one-off technology adoption but on infrastructure design and cost-efficient operational structures that make it sustainable," adding, "Based on the strategies presented at this conference, we will strengthen cooperation with global partners to expand AI infrastructure standardization."