SKAI Worldwide: "Accelerating the AX Era with Ontology-Based AI Solution 'Ontovia'"
Beyond digital transformation (DX), the era of "AI Transformation (AX)"-where artificial intelligence (AI) becomes the core driving force for companies-is now in full swing. While DX refers to the process of digitizing work to improve speed and efficiency, AX signifies a shift toward a structure in which AI makes its own decisions and participates in operations. AI has now emerged as an essential element that not only involves the adoption of new technology, but also transforms corporate strategy, operations, and organizational culture as a whole.
On September 4, SKAI Worldwide announced that it plans to accelerate the AX era with its ontology-based AI solution, Ontovia.
AX leverages AI to drive fundamental changes within companies. By automating repetitive and rule-based work, AX maximizes efficiency and analyzes vast amounts of data to predict the future, thereby enhancing productivity and operational effectiveness.
Through this, companies can develop new products and services that were previously unimaginable and create business models that did not exist in the market. By delegating simple tasks to AI, employees can focus on creative and high-value work. This leads to improved productivity across the organization and innovation in organizational culture.
A company representative stated, "It is important to strengthen AI literacy-understanding and utilizing AI-so that all employees can use AI and the organization can respond flexibly to change. Building a scalable and flexible cloud-based AI infrastructure, as well as establishing guidelines for AI ethics and accountability, are also necessary to respond proactively to changes in laws and regulations."
The success of AI transformation depends on how reliably data can be utilized. As large-scale models such as LMM and LLM spread rapidly, issues such as AI "hallucination" and the generation of incorrect information have become challenges that can no longer be overlooked. Companies are moving beyond simple data collection to establish multidimensional and systematic quality verification systems.
Against this backdrop, SKAI Worldwide, an AI tech solutions company, is gaining attention for its ontology-based AI data solution Ontovia, which has been independently developed using purely domestic technology and is seen as a key tool to accelerate the AX era.
Ontovia is the only ontology solution in Korea that combines graph databases, knowledge graphs, and graph RAG (Retrieval Augmented Generation) technology. Its core function is to systematize and optimize the vast data held by organizations and companies into a structure that can be utilized by AI.
Going beyond simple search or analysis, Ontovia enables AI applications with accuracy and reliability. By transforming accumulated data from various industries into AI-friendly formats, it helps organizations and companies accelerate their AI transformation (AX, AI Transformation).
In practice, SKAI Worldwide is actively operating demonstration programs for Ontovia with government agencies and major private organizations. The company is also making significant progress in its business by customizing solutions to meet the specific needs of each organization and company.
SKAI Worldwide has successfully secured government agency projects and is currently proceeding with actual contracts and implementation, accelerating the expansion of commercial applications. The company aims to use Ontovia to reduce reliance on overseas solutions in security-sensitive fields such as public, finance, and defense, and to strengthen data sovereignty based on domestic technology.
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Shin Jae-hyuk, CEO of SKAI Worldwide, emphasized, "Ontovia is the first K-AI data ontology solution developed entirely with domestic technology. It is not just a data management tool, but a solution that restructures the assets held by organizations into knowledge suited for the AI era. We will continue to secure both scalability and security to meet the needs of public and private sector clients."
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