Topic

Building a “Digital Radar” for the Business World: Constructing and Evolving Enterprise Cognition and Dynamic Evaluation Systems Based on World Models and Agents

In enterprise analysis and industry research scenarios within Zhima Enterprise Assistant, we face challenges such as handling billions of data points, complex data structures, strict requirements for accuracy, fast response times, high precision, and strong product integration. This talk will explore solution design under these constraints, along with practical experience in developing and applying business world models and agents. Outline: 1. Introduction to enterprise analysis and industry research scenarios and capabilities in Zhima Enterprise Assistant 2. Evolution of our technical approach and analysis of current mainstream solutions 3. Breakdown of key challenges in Zhima Enterprise Assistant scenarios and real-world implementation cases 4. Future outlook on business world models and agents in commercial applications Audience Takeaways: 1. A systematic analysis of industry solutions for business cognition agents 2. Practical case studies on how to adapt training and architectural techniques in agent applications to solve real-world problems 3. Insights into how technical details influence business direction as agents increasingly become primary users of applications 4. Cost: how to better evaluate the economic value of problems solved by agents 5. Effectiveness: how to assess AI performance in non-standard, highly personalized tasks