On April 16, a special seminar was held at the Financial Investment Association in Yeouido, inviting securities firm CIOs and IT decision-makers. It was a meaningful time to share real concerns about DB operation and infrastructure costs faced by IT leaders in the rapidly changing AX/DX environment and to share a strategic roadmap through the autonomous optimization solution, ‘Query Medic.’

The seminar, which lasted about an hour, focused on diagnosing the infrastructure limits and cost explosion issues of the securities industry in the AI transformation (AX) era and vividly conveying the value of Query Medic, which can immediately solve these challenges in the field of DB performance management.

The Direction of Financial AX and the Complex Infrastructure Crisis: "The Infrastructure Paradox"

In the first half of the presentation, the "Infrastructure Paradox"—where business logic is advanced with AI while the operations supporting it still rely on manual tasks—was raised as a topic. Openmade Consulting is the solution that implements the core value of autonomous optimized IT infrastructure in the field of DB performance, enabling 24/7 automated optimization through 'Query Medic.'

The reason why building an autonomous optimization infrastructure through Query Medic is emphasized is that the bottleneck currently faced by the financial IT field has reached a structural limit that can no longer be solved only by increasing manpower or resources. Accordingly, the three core crisis factors faced by CIOs and Query Medic's response strategy are as follows:

First, infrastructure inflation and strategic transition.

In a situation where hardware costs are skyrocketing and delivery delays are worsening due to global AI server competition, we explained that a strategic transition to pull the efficiency of existing resources to the limit through 'SQL performance tuning' is absolutely necessary instead of indiscriminate expansion.

Second, the introduction of AI in management blind spots. We pointed out the reality that 95% of operational SQL is being neglected as the limits of manpower become clear due to the proliferation of multi-platforms. We argued that true infrastructure innovation is only possible by introducing AI into this huge blind spot where human hands cannot reach and converting to a 100% comprehensive management system through Query Medic.

Third, the paradox of cloud costs and cost efficiency. We diagnosed the phenomenon where performance degradation in on-premise directly leads to 'financial risk' in the Cloud and emphasized that preemptive optimization through Query Medic is the only practical cost solution.

Ultimately, we were able to empathize with the CIOs that our principle of "Optimize SQL first, then expand the server (Tune First, Expand Later)" is the only financial defense strategy for securities IT in the AX era.

Introduction and Demonstration of “Query Medic,” the First AI-based SQL Tuning Solution Domestically and Internationally

In the following session, we had a place to demonstrate the detailed functions and actual screens of ‘Query Medic,’ an AI LLM-based SQL auto-tuning solution, which is a key weapon to breakthrough the previously diagnosed crisis.

In particular, many CIOs who have built deep understanding and insight by directly handling databases in the actual field in the past attended this seminar. As experts, they asked many sharp and in-depth questions about the functions and features of Query Medic, showing great interest especially in the practical implementation method of the intelligent 3-step process.

• Automatic Detection of Tuning Target SQL: Captures overloaded and underperforming SQL in real-time 24/365.

• Auto-tuning: Provides optimally tuned SQL in a short time via AI and recommends optimal Indexes.

• Verification and Impact Analysis: Automatically analyzes data consistency of tuned SQL and the performance change impact of Index-related SQL.

Through the demonstration, CIOs who understood that underperforming SQL is optimized in a short time and that the share of DB resources (CPU, Memory, Disk I/O) can be drastically lowered as a result of SQL optimization expressed high trust and expectations for the technical perfection of Query Medic, which overcomes the limits of manual methods and realizes SQL performance optimization.

 Investment Cost Recovery Possible Within 1 Year of Introduction

The economic value of Query Medic introduction is proven by figures. It is possible to reduce costs by more than 70% compared to existing tuning manpower operation, and if the DB resource saving effect cost is considered, it boasts an overwhelming ROI that allows the full recovery of the initial investment cost within one year of introduction.

Concluding the presentation, Openmade Consulting CEO Choi Young-cheol stated, "Successful AX and DX transformation is possible only when the database, the heart of financial IT, is stable." He expressed his ambition, saying, "Query Medic will be a new opportunity to free IT personnel buried in simple repetitive tasks into high-value-added strategic tasks and to optimize a company's IT infrastructure most economically and stably."

We would like to express our deep gratitude once again to the securities firm CIOs who took the time out of their busy schedules to listen to the seminar and brighten the place with their sharp insights. Openmade Consulting will continue to be a reliable partner leading the innovation of Korean financial IT together with financial IT leaders.

[Product Inquiry and PoC Application]

• Sales Team: 02-6310-6167 / qm@openmade.co.kr

• Website: www.openmade.co.kr/solution/qm

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