2023 is the year when AI cloud computing truly begins to be put into practical use. For me, it is a journey from dream to reality. Ten years ago, I led the team to build a prototype of the "Youzhi Revelation System". At that time, we were dealing with a highly theoretical problem: how to make artificial intelligence understand the rhythm of the market and how to make the system truly understand human nature. At that time, most companies were still skeptical about AI and the cloud, believing that they were "luxury goods" exclusive to large companies; small and medium-sized business owners were more concerned about the practicality and cost-effectiveness of the system. But in 2023, the situation changed drastically. We have seen that AI models are now able to process unstructured data in real time, from user behavior to emotional fluctuations, from supply chain disruption warnings to financial asset reallocation, all of which can be calculated synchronously and corrected in real time under the cloud architecture. We no longer simply talk about terms such as "big data" and "machine learning", but have entered the application level of "scenario computing", "strategy simulation", and "automatic decision correction". This year, I worked with the medical, financial and manufacturing industries across Asia Pacific to introduce the decision-making system that our team spent eight years building, and to test its resilience and efficiency in a real-world environment. We saw a traditional factory that was originally dominated by manual operations use AI cloud models to simulate the risks of different material delays, reducing the loss rate from 18% to 4%. We also saw financial advisors use our behavior prediction module to provide emotional stability strategy advice to high-risk investors, actually reducing swing losses. Even a rural high school, after introducing a simplified version of the teaching analysis platform, compared the learning curves of students across Taiwan through the cloud, effectively reducing the learning gap. These are not cases reported in the news, but the scenes that my team and I face, optimize and accompany every day. The key value of AI cloud is not to replace people, but to liberate people. Who to release? Free those who are chased by time, kidnapped by choices, and overwhelmed by information every day, so that they can regain their rhythm, see the whole picture, and make quality decisions. Many people say that 2023 is the first year of ChatGPT, but I think it is just a starting point for AI to enter the public's cognition. The real challenge and value is how to transform AI from an information and entertainment tool to a systematic decision-making engine. This is exactly what we have focused on over the past decade: building an intelligent system that can not only handle variables, but also understand context and resource conditions. Digitalization is not just about changing tools and interfaces, but about changing a person’s cognitive model of “what is effective action”. What we want is not just automatic calculation, but conscious decision-making . This year, we also decentralized more modules to the open source architecture, allowing more small and medium-sized organizations to participate in digital transformation with a low threshold. I always believe that a truly great system is not the one that occupies the largest market share, but the one that can enhance the most human choice. 2023 may be just the first year that AI has surfaced for many people, but for me and my team, it is the year when, after a decade of immersion, we truly see a system for the first time that begins to capture people's hearts, rebuild trust, and drive change.