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Writer :2024企业级生成式AI解决方案评估:首席信息官(CIO)分步指南(英文版)(24页).pdf

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1、Evaluating generative AI solutions for enterpriseA step-by-step guide for CIOs GUIDESTable of contentsIntroductionUnderstanding the generative AI landscapeEvaluating AI and LLM vendors:a quick framework for CIOsBest practices for selecting the right generative AI solutionDISCOs journey with generati

2、ve AI:Insights for CIOsThe time is now to embrace enterprise-ready generative AI128111721INTROGenerative AI is fueling a new wave of innovation for enterprise companies.Our recent global survey of technical leaders and decision-makers found that 96%of companies expect generative AI to be a key enabl

3、er for their business,with 82%anticipating rapid growth in adoption.If youre an enterprise technical leader,now is the time for you to prioritize adopting and integrating generative AI into your companys overall business strategy.And now is also the time for you to keep an eye on how this technology

4、 is implemented to ensure quality and minimize technical debt.Traditionally,CIOs have been responsible for keeping the lights on,reducing risk,and managing the status quo.But with the advent of generative AI,CIOs understand they have to be more proactive,do more with less,and drive business outcomes

5、 at scale.As CIOs adopt this shift,they take on the role of driving transformative progress within their organizations.Thats why weve created a step-by-step guide specifically for CIOs to evaluate generative AI for enterprise use.At its core,this guide is designed to empower you as an enterprise tec

6、hnical leader with a roadmap for evaluating generative AI solutions with confidence.Through a comprehensive,step-by-step process,youll gain the insights needed to make strategic decisions and guide your organization to success.From demystifying the technology and its capabilities to identifying the

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本文主要内容为: 1. 引言:介绍生成式AI在企业中的重要性,以及CIO在采用生成式AI时需要考虑的步骤。 2. 理解生成式AI的景观:介绍了生成式AI的三种主要解决方案,以及采用生成式AI解决方案的优势和挑战。 3. 评估AI和LLM供应商:提供了一个快速评估框架,包括技术可行性、成本、集成定制和GRC(治理、风险和合规性)等方面。 4. 选择正确的生成式AI解决方案:提供了最佳实践,包括平衡构建与购买决策,比较全栈平台与点解决方案等。 5. DISCO的生成式AI之旅:分享了DISCO在采用生成式AI以改进电子发现流程中的经验,包括实验和初始挑战、工程挑战、转型与增量价值等。 6. 结论:强调现在是企业采用生成式AI的时机,并介绍了Writer作为企业级生成式AI平台的优势。
企业如何评估和选择合适的生成式AI解决方案? 生成式AI在哪些业务领域具有最大的应用潜力? DISCO如何利用生成式AI优化电子发现流程?
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