Group 1: Company Overview - The company initially conducted its own research to gather data due to limited data availability, but has since evolved to leverage data collection as a key service in the big data era, providing comprehensive data support to clients [2] - The core competitive advantage lies in the ability to quickly identify client needs and establish methodologies for model building, utilizing machine learning and natural language processing technologies [3] Group 2: Business Strategy and Model Development - The company is transitioning from manual data analysis to automated analysis, enhancing model innovation capabilities to address unique problems with tailored models [3] - The strategic development of software business focuses on modeling business experience, algorithm development, and software implementation [2] Group 3: Technology Implementation and Client Solutions - The company has developed responsive algorithm models for specific scenarios, such as the "12345 Government Service Hotline," which can be generalized to other service areas [4] - Various self-service analysis tools have been created, including visualization dashboards and automated reporting, to facilitate client analysis in both commercial and governmental sectors [4] Group 4: Knowledge Graph and Large Model Integration - The integration of knowledge graphs and large models enhances decision-making capabilities, addressing issues like high costs and low coverage in knowledge graph updates [5] - The company aims to leverage the combined strengths of knowledge graphs and large models to capture opportunities in sectors such as government, finance, and insurance [5] Group 5: Application of Knowledge Graphs - The experience in constructing ontologies in specialized fields can be adapted to civilian applications, improving policy recommendation accuracy in government sectors [5] - The knowledge graph technology accumulated in specialized fields will support the company's expansion into government, finance, and insurance sectors [5]