Core Insights - The article discusses the transformation of enterprise digitalization through the integration of Data and AI, emphasizing the shift from traditional SaaS and ERP systems to a new paradigm where AI can autonomously think and act, thereby enhancing productivity [1][12]. Group 1: AI for Data - Microsoft CEO Satya Nadella predicts that AI Agents will replace all SaaS, as traditional SaaS is being restructured by AI Agents [1]. - Companies must establish a digital system that encompasses perception, training, and result data to effectively harness AI's potential and convert it into tangible business value [1][3]. Group 2: High-Quality Data Assets - In the AI era, a shift in mindset is necessary, viewing data from an AI perspective and focusing on non-structured, high-quality data that AI can understand [3]. - Even structured data must be reorganized to be tokenized for AI models to comprehend and reason effectively [3][12]. Group 3: Systematic Data Consumption - Three clear paths for enabling AI Agents to consume data effectively include optimizing data structure, evolving data service methods, and integrating SaaS or Agents for comprehensive upgrades [4][9]. - The use of tools like Quick BI allows users to interact with data through natural language, generate reports, and receive personalized information streams, enhancing decision-making capabilities [5][11]. Group 4: Data Spiral Growth Effect - The establishment of a data spiral growth effect is crucial for AI-native applications, focusing on the continuous generation and utilization of data feedback [11]. - Activating dormant data assets is the first step in building this growth effect, with examples illustrating how previously overlooked data can be transformed into valuable training resources for AI [11][12]. Group 5: Agent Store Development - The company is developing an Agent Store that serves as a hub for integrating data, models, and application capabilities, facilitating the deep integration of data and AI in business scenarios [12]. - The evolution from information-based to intelligent systems marks a significant shift in how enterprises leverage data and AI, positioning them as foundational elements of a new productivity paradigm [12].