Published: 06 March 2024
首席技术官（CTO）可采用新出现的行业最佳实践，在生成式人工智能（GenAI）的扩展过程中避开障碍。CTO取得成功的关键是优先考虑业务价值，关注AI素养和负责任的AI，促进跨职能合作，以及推行持续学习。
GenAI具有推动跨行业变革的潜力。多数企业和技术领导者认为，虽然这项技术会带来较大风险，而且不久的将来可能会出台相关监管规定，但其收益仍然远高于风险。
为GenAI制定符合业务战略的可靠发展策略，一直是技术领导者面临的难题。人们对GenAI的态度多种多样，有的希望直接禁止，有的接受个人或部门层面的临时性实验。由于对新兴的行业最佳实践缺乏了解，企业范围的试运行和可扩展的生产部署受到局限。
GenAI生态系统的快速变化，使IT领导者难以正确选择各项方法和技术。技术生态的不稳定导致供应商选择难度增大、长期技术规划失效。
IT领导者在这项技术的采用和扩展中仍然面临较大障碍，如技能和人才短缺，数据质量较低，以及缺乏全面的AI治理、风险缓解和控制。
借助Gartner研究报告建立框架，确定GenAI用例的优先级和业务价值，以及判断各用例适合购买还是自建。此框架需要定期梳理和更新，紧跟市场发展趋势。
推行AI工程化实践，实现各项技术试点的无缝扩展，例如敏捷思维、用于快速实验的沙箱环境、组装式平台架构、FinOps和以产品为中心的交付模型。
将负责任的AI作为生成式技术工作的重点。在GenAI应用中运用设计思维并纳入用户反馈，促进人机协作。
通过个性化的培训计划提高数据和AI素养，开展兼顾理论和实践的培训。平衡个人需求和企业需求，允许员工灵活定制自己的培训路径。
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Analysts:
Arun Chandrasekaran, Leinar Ramos, Alberto Pietrobon
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