内容来源：https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers

内容总结：

近日，OpenAI正式推出企业级AI代理平台“Frontier”，旨在帮助企业更高效地构建、部署和管理人工智能代理。该平台致力于打破企业内部不同AI系统间的壁垒，通过共享上下文、反馈式实践学习及权限管理等机制，将分散的AI代理整合为协同工作的“AI同事”，从而提升整体运营效率。

OpenAI表示，Frontier可兼容企业现有系统，无需重构基础设施即可集成内部数据、AI模型及第三方应用。平台支持通过各类界面调用AI代理，实现人机协作的无缝衔接。目前，惠普、甲骨文、优步等企业已率先采用该平台，西班牙对外银行、T-Mobile等多家公司正在试点测试，预计未来数月将扩大开放范围。

值得注意的是，OpenAI尚未公布该平台的具体定价。企业级业务目前约占该公司总收入的40%，其首席财务官莎拉·弗里亚年初表示，预计年底前这一比例将提升至50%。此次推出Frontier平台，被视为OpenAI在加速商业化布局、平衡AI基础设施巨额投入的重要举措。

中文翻译：

由谷歌云赞助
如何选择首个生成式AI应用场景
要启动生成式AI项目，首先应关注能够优化人类信息交互体验的领域。

OpenAI推出了一款旨在帮助企业构建、部署和管理AI智能体的平台。
根据该公司博客文章介绍，OpenAI Frontier平台致力于通过帮助智能体掌握人类工作中"取得成功所需"的相同技能，将企业生态系统的不同部分连接起来。该公司表示，开发此平台是为了应对日益普遍的企业挑战：虽然独立的智能体应用提升了效率，但它们需要在整个业务中更有效地扮演"AI同事"的角色。

该平台作为核心资源枢纽，通过"共享情境、快速适配、反馈式实践学习及清晰的权限边界"机制，将企业内分散的各AI智能体整合为协同网络。此举旨在防止不同系统间工作流脱节导致的信息孤岛与碎片化问题。
OpenAI表示，Frontier与团队现有系统兼容，这意味着企业无需重构技术架构。该公司在博客中称："客户可利用开放标准，在现有环境中整合既有数据与AI能力，并接入正在使用的应用程序。"
通过这种方式，智能体可在任何工作界面中被调用，实现人机协同的无缝衔接。OpenAI强调该功能不仅适用于其自研智能体，也兼容企业内部及第三方开发的智能体。

作为Frontier智能体管理服务的一部分，OpenAI还将派遣被称为前沿部署工程师的专家加入企业团队，提供实操指导以最大化AI应用价值。
然而现阶段尚未公布Frontier的具体定价方案。
该公司已向"限量客户群体"开放早期体验，目前惠普、财捷、甲骨文、州立农业保险、赛默飞世尔和优步等多家龙头企业已采用该平台。西班牙对外银行、思科和T-Mobile等企业正在试点运行。OpenAI承诺未来数月将扩大服务范围。

OpenAI需要Frontier取得商业成功，以弥补其在AI基础设施领域的巨额投入。该公司已明确将在部分ChatGPT服务层级引入广告，同时首席财务官莎拉·弗里亚年初表示盈利模式必须"与用户体验原生融合"。
目前企业客户约占OpenAI总收入的40%，但弗里亚在1月达沃斯世界经济论坛上向CNBC透露，预计到今年底该比例将提升至50%。

英文来源：

Sponsored by Google Cloud
Choosing Your First Generative AI Use Cases
To get started with generative AI, first focus on areas that can improve human experiences with information.
The company said it developed the platform to address a growing enterprise challenge: While individual AI agents improve efficiency, they need to work more effectively across the business.
OpenAI launched a platform aimed at helping enterprises build, deploy and manage AI agents.
OpenAI Frontier is designed to connect different parts of a corporate ecosystem by helping agents develop the same skills that people "need to succeed" at work, according to a company blog post.
The company said it developed the platform to address a scenario that it believes is becoming increasingly familiar across enterprises: While isolated use cases of agents have improved efficiency and output, they need to function better as "AI coworkers" across an entire business.
The platform operates as a central resource, knitting together various disparate AI agents in use across an enterprise via "shared context, onboarding, hands-on learning with feedback and clear permissions and boundaries," according to the company. In doing so, it aims to prevent the formation of silos and fragmentation caused by disconnected workflows across different systems.
Frontier is compatible with the systems that teams already have, meaning they will not have to re-platform, according to OpenAI. Customers can bring their "existing data and AI together where it lives — as well as integrate the applications [they] already use — using open standards," the company said in its blog post.
This way, agents can be accessed through any interface, partnering with people wherever work is carried out. OpenAI said the functionality applies not only to those developed by OpenAI, but others created in-house and by third parties.
As part of Frontier's agent management service, OpenAI will also pair experts known as forward deployed engineers with enterprise teams to provide hands-on assistance in extracting the maximum from their AI.
What is not known at this stage, however, is how much Frontier will cost.
The company provided early access to a "limited set" of customers and already the platform has been adopted by several enterprise stalwarts including HP, Intuit, Oracle, State Farm, Thermo Fisher and Uber. Others, such as BBVA, Cisco and T-Mobile, are running pilots. More widespread availability is promised in the coming months.
OpenAI needs Frontier to be a commercial success to help offset its massive investments in AI infrastructure. It has already made clear its intention to introduce advertising on some tiers of ChatGPT, while CFO Sarah Friar said at the start of the year that monetization had to be "native to the experience."
Enterprise customers currently account for around 40% of OpenAI's revenue, but Friar told CNBC at the World Economic Forum at Davos in January that she expected this to increase to 50% by the end of the year.