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代理编排：企业AI组织面临的是部署问题，而非平台问题——大多数仍将聊天机器人称为代理Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents

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以下内容为 AI 自动翻译，英文原文附后供参考。

摘要

VentureBeat对101家企业进行的最新调查突显了组织内部AI技术部署的关键问题。尽管代理编排已整合到主要模型提供商平台上，但大多数已部署的代理仍主要作为聊天机器人运作。这表明在对先进多步骤编排的期望与这些系统当前能力之间存在显著差距。许多组织在有效管理与这些部署相关的成本方面面临挑战，这进一步复杂化了它们利用AI进行更复杂任务的能力。

A recent survey of 101 enterprises conducted by VentureBeat highlights a critical issue in the deployment of AI technologies within organizations. Despite the consolidation of agent orchestration onto major model-provider platforms, the majority of deployed agents are still primarily functioning as chatbots. This indicates a significant gap between the aspirations for advanced multi-step orchestration and the current capabilities of these systems. Many organizations are facing challenges in effectively managing costs associated with these deployments, which further complicates their ability to leverage AI for more complex tasks.

要点

  1. 大多数企业仍将聊天机器人作为其主要AI代理。

    Most enterprises are still using chatbots as their primary AI agents.

  2. AI编排的潜力与当前实施之间存在显著差距。

    There is a notable gap between the potential of AI orchestration and its current implementation.

  3. 成本管理仍然是部署AI解决方案的重大障碍。

    Cost management remains a significant hurdle for organizations deploying AI solutions.

为何重要

这项研究强调了企业在充分实现AI技术潜力方面面临的挑战，特别是在超越基本聊天机器人功能方面。它突显了有效部署AI代理所需的更好策略。

This research underscores the challenges enterprises face in fully realizing the potential of AI technologies, particularly in moving beyond basic chatbot functionalities. It highlights the need for better strategies in deploying AI agents effectively.

按谁的角度看

产品经理

对于产品经理而言，这意味着理解当前AI部署的局限性的重要性，以及开发能够弥补基本功能与更高级编排能力之间差距的解决方案的必要性。

For product managers, this signifies the importance of understanding the limitations of current AI deployments and the necessity for developing solutions that can bridge the gap between basic functionalities and more advanced orchestration capabilities.

开发者

开发者应注意AI代理功能的当前局限性，因为这为创新和创建更复杂的编排解决方案提供了机会，以满足企业需求。

Developers should take note of the current limitations in AI agent functionalities, as this presents opportunities to innovate and create more sophisticated orchestration solutions that can meet enterprise demands.

学生与求职者

对于学生和求职者而言，这项研究表明AI部署挑战是一个不断增长的领域，暗示在高级AI编排和成本管理方面的技能在就业市场上将越来越有价值。

For students and job-seekers, this research indicates a growing field in AI deployment challenges, suggesting that skills in advanced AI orchestration and cost management will be increasingly valuable in the job market.

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