Core Insights - The transition from the "Information Age" to the "Cognitive Age" is driven by data and AI technologies, shifting the core competitive advantage of enterprises from data processing capabilities to cognitive abilities [1][4] - The depth of cognitive understanding is becoming the foundation of a company's competitive moat, addressing issues like strategic planning constraints and market insight delays that arose from a lack of systematic cognition [3][4] Group 1: Cognitive Transformation - Companies can build a stable and unified collective cognition through deep data insights, making high-quality decision-making a sustainable driving force [4] - The cognitive progression consists of three layers: information layer (recognizing appearances), insight layer (understanding motivations), and cognitive layer (decision-making), marking the transition from information-driven to cognition-driven stages [4] Group 2: Data Infrastructure - The foundational data infrastructure is crucial for the cognitive engine, with the AI data lake and Daft engine unifying multi-source data processing and enhancing the efficiency of unstructured data handling [5] - The Lance technology reduces storage costs by over 50%, addressing the data infrastructure challenges of the large model era [5] Group 3: Practical Applications - The Data Agent product exemplifies the cognitive layer's capabilities by breaking down barriers between structured and unstructured data, enabling comprehensive data insights through natural language interactions [4] - Successful case studies demonstrate the transformative value of Data Agent, with one brand generating precise marketing plans in hours and a SaaS company achieving over 2x lead conversion rates through tailored customer profiling [4]