数据采集治理
Data collection governance
为大模型分析提供高质量数据支持的专项服务。支持定制化采集方案，满足不同场景的模型训练需求，帮助提升大语言模型的准确性、泛化能力和专业度。典型应用包括智能客服、内容生成、知识问答等AI系统开发。
A specialized service that provides high-quality data support for large model analysis. Support customized collection solutions to meet the training needs
of models in different scenarios, helping to improve the accuracy, generalization ability, and professionalism of large language models. Typical
applications include AI system development such as intelligent customer service, content generation, and knowledge Q&A.
业务大模型Agent开发
Development of Business Model Agent
基于行业场景的AI智能体定制解决方案。通过结合领域知识库与业务工作流，构建具备专业任务处理能力的智能代理系统。服务涵盖需求分析、场景建模、知识蒸馏、流程编排等环节，支持对话交互、数据分析、决策推理等核心功能开发。
Customized solutions for AI intelligent agents based on industry scenarios. Build an intelligent agent system with professional task processing capabilities
by combining domain knowledge base and business workflow. The service covers requirements analysis, scenario modeling, knowledge distillation, process
orchestration, and other aspects, supporting the development of core functions such as dialogue interaction, data analysis, and decision reasoning.
业务数据的大模型分析
Big model analysis of business data
基于行业知识库与AI技术的智能决策解决方案。通过大语言模型对结构化/非结构化业务数据（报表、日志、客户反馈等）进行深度解析，提供趋势预测、异常检测、归因分析等核心功能。支持自然语言交互式查询，自动生成可视化报告与执行建议。
Intelligent decision-making solution based on industry knowledge base and AI technology. By using big language models to deeply analyze
structured/unstructured business data (reports, logs, customer feedback, etc.), core functions such as trend prediction, anomaly detection, and attribution
analysis are provided. Support natural language interactive queries, automatically generate visual reports and execution suggestions.
数据可视化开发
Data visualization development
将复杂数据转化为直观的图形界面，支持动态筛选、下钻分析等功能。涵盖数据清洗、指标建模、视觉设计全流程，适用于运营监控、商业分析、智能决策等场景。典型交付物包括实时看板、专题分析报告、数据大屏等。
Transform complex data into an intuitive graphical interface that supports functions such as dynamic filtering and drill down analysis. Covering the entire
process of data cleaning, indicator modeling, and visual design, it is suitable for scenarios such as operational monitoring, business analysis, and
intelligent decision-making. Typical deliverables include real-time dashboards, thematic analysis reports, data dashboards, etc.
