The generative artificial intelligence (AI) craze, which began in 2023, has now shifted to an intere..
https://www.mk.co.kr/en/it/12009299
Publish Date: 2026-04-06 03:37:00
Source Domain: www.mk.co.kr
- The growing interest in generative AI agents has led to an overwhelming number of AI models registered on Hugging Face, reflecting a global push to build AI models.
- Despite the increase in AI model registrations, companies are apprehensive because creating an excellent AI model does not guarantee business value due to reliance on data quality and architecture.
- According to IBM’s survey, while many organizations prioritize the use of data for market competitiveness, there is a gap in confidence regarding data’s ability to generate AI-based revenue.
- AI agents need advanced data management techniques due to their requirement for autonomous execution and cross-domain reasoning, surpassing simple data analysis.
- Traditional centralized data management methods are inadequate in today’s fragmented data ecosystem, emphasizing the need for a novel approach to access and integrate various data sources.
- Building an infrastructure that allows immediate access to diverse data sources, real-time unified data views, and semantic systems that enable AI understanding is essential for AI agents.
- Companies must ensure this data infrastructure operates securely within governance policies from the design stage to build reliable AI agents.
- Logical data architecture using virtualization technology is highlighted as an efficient way to connect and manage distributed data, ensuring reduced deployment time and secure, flexible governance.
- The article emphasizes that for sustainable AI business growth, companies should focus on creating a seamless “data road” for AI to use rather than solely competing in model introductions.
