Search results for Databricks Korea
AI & Enterprise
Beyond AI adoption, embedding operations is key to closing the scaling gap for digital-native companies
Digital-native companies often lead in willingness to adopt AI and the breadth of its use, but that does not always translate into the highest level of operational maturity, a 2026 report found. Executives at digital-native firms most frequently cited embedding AI at scale across core business processes as a top investment priority. The report distinguishes broad deployment from full operational embedding, including use by more than 100 users under SLAs with continuous monitoring. Examples in South Korea highlight the need for shared data, governance and operating foundations.
AI & Enterprise
Execution, not AI models, is what separates finance through data platforms
AI is now widespread across the financial services industry, but results vary by institution. Some firms that have embedded AI in operations are speeding up decision-making and cutting operating costs by as much as 20 percent. The key constraint is not model performance but the ability to scale AI into real workflows amid fragmented data infrastructure and strict security and governance requirements. The article argues that integrated data and AI platforms, with built-in governance, underpin stronger execution.
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Corporate AI shift: One AI agent is not enough
South Korea is among the world’s fastest markets for AI adoption, with an AI technology adoption rate of 28 percent among OECD members, the Ministry of Science and ICT said. As companies move beyond simple chatbot rollouts, multi-agent systems are emerging as a new operating model. A Databricks report said multi-agent system use rose 327 percent in recent months and 78 percent of companies use two or more large language model families. It also said governance and evaluation frameworks significantly raise deployment success rates.
