Published: 22 April 2024
将生成式人工智能（GenAI）用于错误的业务用例将导致高故障率，并且会稀释AI在企业中的价值。为了避免这种情况，IT领导者可以参考本文，评估GenAI是否适合企业用例，或者是否应考虑使用其他AI技术。
IT领导者难以充分理解GenAI的适用场景。围绕GenAI的炒作可能促使领导者将其应用于不适当的用例中，导致企业AI项目变得更加复杂，失败风险升高。
过度关注GenAI可能导致IT领导者忽视更广泛的其他AI技术，稀释企业的业务价值。大多数潜在AI用例更适合采用更加成熟的AI技术。
AI技术并非互不兼容；这些技术往往可以结合使用，构成更为强大的整体系统。能够结合使用合适AI技术的企业具有独特优势，可构建更精确、更透明、性能更好的AI系统，同时还能降低成本和减少对数据的需求。
对用例进行系统性分类，评估每个用例的GenAI可行性。目前，GenAI模型并不适合单独用于预测和预报、规划和优化、决策智能和自治系统等类别中的用例。
不适合应用GenAI模型的用例，可使用其他AI技术作为替代。最主要的替代技术是非生成式机器学习、优化、模拟、基于规则的系统和图谱。对于许多用例来说，这些替代方案往往比GenAI模型更可靠、更为企业所了解。
将GenAI模型与其他AI技术相结合，能够打造更稳定可靠的系统，减轻GenAI的负面影响，例如生成不准确信息和幻觉的倾向。也可以反过来，使用GenAI模型支持其他AI技术。例如，将GenAI作为其他AI和软件系统的自然语言接口。
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