企业LLM采纳的战略决策框架
Strategic Decision Framework for Enterprise LLM Adoption
AI总结：
本文提出一个六步决策框架，帮助企业安全高效地采用LLM，平衡技术能力与业务目标。
摘要：
企业正在迅速采用大语言模型（LLMs）来变革其运营，但缺乏在采纳和实施过程中关键决策的明确指导。尽管LLMs在内容生成、辅助编程和流程自动化方面具有强大能力，但企业面临数据安全、LLM解决方案开发方法、基础设施需求和部署策略等关键挑战。医疗保健提供者必须在利用LLMs进行医疗分析的同时保护患者数据，金融机构需要在自动化客户服务与监管合规之间取得平衡，软件公司则希望提高开发生产力同时保持代码安全。本文提出一个系统性的六步决策框架，帮助组织从初始应用选择到最终部署的全过程。基于广泛的访谈和对成功与失败实施案例的分析，该框架为业务领导者提供了将技术能力与业务目标对齐的实用指导。通过关键决策点和来自B2B和B2C场景中的现实例子，组织可以在确保安全高效整合各种应用场景（如客户服务自动化、内容创作和高级分析）的同时，做出有根据的LLM采纳决策。
英文摘要：
Organizations are rapidly adopting Large Language Models (LLMs) to transform their operations, yet they lack clear guidance on key decisions for adoption and implementation. While LLMs offer powerful capabilities in content generation, assisted coding, and process automation, businesses face critical challenges in data security, LLM solution development approach, infrastructure requirements, and deployment strategies. Healthcare providers must protect patient data while leveraging LLMs for medical analysis, financial institutions need to balance automated customer service with regulatory compliance, and software companies seek to enhance development productivity while maintaining code security. This article presents a systematic six-step decision framework for LLM adoption, helping organizations navigate from initial application selection to final deployment. Based on extensive interviews and analysis of successful and failed implementations, our framework provides practical guidance for business leaders to align technological capabilities with business objectives. Through key decision points and real-world examples from both B2B and B2C contexts, organizations can make informed decisions about LLM adoption while ensuring secure and efficient integration across various use cases, from customer service automation to content creation and advanced analytics.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
