- Data Assetization: Transform scattered and chaotic internal data into "knowledge assets" that can be understood and utilized by AI through governance, cleaning, and leveraging tools like vector databases.
- Process Orchestration: Digitize and modularize complex business processes to enable them to be called and driven by AI Agents.
- Organizational Collaboration: Break down departmental barriers and establish a mechanism for business, IT, and data teams to work closely together, jointly promoting the implementation of AI projects.
These laborious, time-consuming, and lacking "sexy" narratives are the watershed for whether AI can create real business value. The market is realizing that the success of AI is 5% about the model itself and 95% about successful implementation.
03 Conclusion
The "calmness" of GPT-5 is not a sign of an AI winter, but a mark of industry maturity. It announces the end of an era driven by technological enthusiasm and AGI narrative;
At the same time, it opens a new phase - a professional era that bids farewell to the noise, returns to the essence of business, and focuses on "economic benefits", "application implementation", and "real moats".
When your team is arguing endlessly about technical routes, when your investment decisions are pending, when your product strategy is lost in the fog... remember that the confusion you face may be a journey that some expert has already crossed. We at Silicon Rabbit believe: real first-hand experience always comes from those who are driving industry transformation.
Silicon Rabbit has over 30,000 members from first-line executives, core technical experts, renowned university professors, and entrepreneurs in Silicon Valley. They not only possess deep industry experience but are also deeply involved in industrial transformation, providing vivid and credible first-hand insights.
This article is from the WeChat public account "Silicon Rabbit", authored by Silicon Rabbit, published with authorization from 36Kr.