As enterprises' digital transformation enters deeper waters, digital investment should be evidence of business growth - server expansion supports order peaks, system iteration optimizes user experience, and every investment should resonate with business growth.

In enterprises, IT departments are often labeled as "cost centers": they support business departments in system research and development all year round, spending a lot of money, but it is difficult to explain how much business they have supported and how much value they have created.

The three pillars of AI technology are computing power, algorithms, and data. Of these three core elements, most companies only have control over data. This data includes structured data, such as data in various enterprise information systems.

Are you looking for a localized alternative to ServiceNow? Facing challenges like data compliance and local support for international ITSM tools, ZKNOW's YQ Cloud might just be the answer you're looking for!

Modern enterprise service management has formed two core battlefields: technology-supported IT services and people-oriented employee services. The former covers the entire chain from infrastructure operation and maintenance to the integration of emerging technologies, such as difficulties in using new system functions, system error handling, or when business departments believe that the existing system cannot meet their business development needs.

How can we build an IT service system that deeply collaborates with the business? How can we achieve both cost and efficiency improvements through technical management? With the acceleration of technological iteration, the variability of business needs, and the increasing complexity of systems, these issues have become core issues that business managers urgently need to address.

During the Spring Festival, DeepSeek became popular on the entire Internet and sparked heated discussions. As a dark horse in domestic AI large models, DeepSeek is constantly expanding the application boundaries of AI technology with its unique training methods, advanced model architecture and powerful networked reasoning capabilities.

Large language models (LLMs) have become popular since 2023, such as GPT/Gemini/Tongyi Qianwen/GLM/Wenxin Yiyan/Doubao, etc. After more than a year of competition and evolution, they have almost covered all general and common sense knowledge and understanding;