近日，笔者在与IBM大中华区技术销售总经理、首席技术官翟峰的对话中，他也提出了同样的观点。在此基础上，翟峰还认为，AI的试验阶段已经结束，企 业核心竞争力将取决于定制化AI应用和可量化的业务成果方面。 在前不久举办的IBM Think大会上，IBM董事长兼首席执行官（CEO）阿温德·克里希纳（Arvind Krishna）曾指出，当前的AI需要聚焦四个层面，分别是：智 能体、数据、集成、基础设施。 在翟峰看来，企业想要通过AI获得收益的过程中，首先需要面对三个问题：第一，高质量的数据有没有？第二，有没有在用？第三，有没有发挥作用？"企 业级AI落地最重要的因素是数据，这是核心生产力，没有数据一切都是空谈，"翟峰进一步指出，"现在大家在谈的大模型，可能有很多互联网数据，但是企 业最核心的数据有没有整合出来？这是最关键的因素。" 另一方面，在AI技术风潮步入智能体时代的背景下，AI技术如何与传统自动化技术融合，成为接下来AI技术发展的关键点。 以制造业为例，在生产制造过程中，原本工厂就已经应用上了诸如自动化流水线、自动化机器臂等自动化设备，在AI时代，这些传统的自动化设备如何与 AI智能体融合，产生更大的力量是个 ...

21世纪经济报道记者孔海丽 北京报道 "AI 实验的时代已经结束。企业竞争优势取决于量身定制的AI应用和可量化的业务成果。"这是IBM董 事长兼首席执行官 Arvind Krishna近期在微软Think大会的开场词，也是市场的共同认知。 "互联网谈到AI有时被神化或妖魔化了。在企业级AI落地过程中，一定是一步一步来的过程。这是一个 转折点，尤其在现在生成式AI、大模型越来越多之后，很多企业都在做尝试。"翟峰指出，对于企业来 讲，AI能力如何融入IT自动化与业务流程重塑，这件事情变得越来越重要。 以制造业为例，当前AI应用多集中在研发端，比如知识库、代码生成和服务端如智能客服等，但在生 产制造等核心环节的价值释放，仍显不足。 编者按：生成式AI的狂飙正快速重构企业业务想象力，这是既定趋势，但却并非易事。时至今日，除 了最浅层的助理功能，AI该如何深度嵌入业务流程，在最核心的场景发挥作用，依然没有一条通用路 径。近期，21世纪经济报道记者就企业级AI应用话题，相继采访了IBM、微软、Gartner中国区相关负责 人，试图探寻企业AI应用的关键点，如何发挥业务数据的真实价值，让AI真正触及业务核心、驱动价 值创造 ...

作者 | 高玉娴 区别于传统的 AI 助手（如聊天机器人），AI Agent 不仅能理解指令和生成内容，更能基于实时数据 自主规划任务路径、调用多系统资源，并在执行中动态优化策略。 这些优秀特质让业界对 AI Agent 趋之若鹜，当然也使得市场上出现不少"新瓶装旧酒"的产品——虽 然换上了 AI Agent 的包装，但内核仍然是传统的 AI 工具。 吴敏达告诉记者，想要识别所谓的"假智能体"并不难。"纯'旧酒'的算力不是在运行的时候（使用）， Agent 具有自主运行的'大脑'，需要不停想东西、不停算，这时候就要堆算力。但以前的自动化流程 或者 AI 模型的调用，基本是事先编排好，用历史数据算好，运行的时候没有那么多资源消耗，所需 的算力要求很小，CPU 就能跑。" 通过名为 AskIBM 的统一平台入口，IBM 内部也正在使用 AI Agent 为员工赋能。据介绍，AskIBM 可以根据员工的查询意图自动路由至 HR、IT 、销售、采购等垂直领域智能体，实现从问题解析到系 统交互的全流程自动化。 目前业界对 AI Agent 存在的最大误解是什么？ "觉得智能体（Agent）能解决所有的问题。"IBM 大 ...

Group 1 - IBM stock has increased by 48% over the past year and 13% this year, currently trading at $249.12, indicating strong momentum and bullish technical indicators [1] - The company is focusing on AI and hybrid cloud strategies, impressing analysts at the IBM Think conference [1] - Dan Ives from Wedbush has set a $300 price target for IBM, citing over $5 billion tied to its generative AI business and 70+ AI-infused workflows [2] Group 2 - IBM's internal AI initiatives have saved $3.5 billion by automating various processes, demonstrating its commitment to AI beyond just selling it [3] - The integration with HashiCorp is enhancing hybrid automation, showcasing IBM's determination to innovate in enterprise technology [4] - The company is evolving into a more essential player in the AI-driven future of enterprise technology [4]

Core Insights - IBM is launching new hybrid technologies aimed at scaling enterprise AI, enabling businesses to build and deploy AI agents using their own data [1][2] - A new CEO study indicates that business leaders expect AI investment growth rates to more than double in the next two years, although only 25% of AI initiatives have met their expected ROI [2][3] - IBM's watsonx Orchestrate will provide a comprehensive suite of enterprise-ready agent capabilities, facilitating integration with over 80 leading business applications [3][4] Group 1: AI Integration and Capabilities - IBM's new Agent Catalog in watsonx Orchestrate will simplify access to over 150 agents and pre-built tools from IBM and its partners [4] - The company emphasizes that the era of AI experimentation is over, and competitive advantage now relies on purpose-built AI integration [3] - Forrester's Total Economic Impact study projects a 176% ROI over three years by automating integration across hybrid cloud environments [5][6] Group 2: Data Utilization and Infrastructure - IBM is evolving watsonx.data to help organizations activate unstructured data, potentially leading to 40% more accurate AI [10][11] - The introduction of IBM LinuxONE 5 will allow processing of up to 450 billion AI inference operations per day, with significant reductions in downtime and project completion times [13][14] - The company is also acquiring DataStax to enhance capabilities in harnessing unstructured data for generative AI [11] Group 3: Strategic Partnerships and Client Testimonials - IBM's collaborations with various companies, including Banco de Brasil and BNP Paribas, highlight the role of hybrid cloud strategies in digital transformation and AI scaling [24][25] - Client testimonials emphasize the impact of IBM's AI solutions on operational efficiency and customer service [23][31] - The partnerships aim to leverage IBM's technology to enhance business processes and deliver personalized services [24][30]

Core Insights - IBM is collaborating with Oracle to integrate its AI portfolio, watsonx, into Oracle Cloud Infrastructure (OCI), aiming to enhance productivity and efficiency through AI-driven solutions [1][3] - The partnership focuses on deploying AI agents that simplify operations across enterprises, leveraging advancements in generative AI models and tools [2][12] Group 1: AI Integration and Offerings - IBM's watsonx Orchestrate will be available on OCI in July, enabling customers to manage multi-agent workflows across various applications and data sources [3][4] - The integration of IBM Granite AI models into OCI Data Science is planned, providing customers with efficient and compact AI models [5] - IBM's watsonx.ai is certified to run on OCI, allowing organizations to develop and manage AI applications effectively [7] Group 2: Consulting and Support Services - IBM is expanding its consulting services to assist customers in implementing AI agents across platforms, enhancing end-to-end business processes [8][9] - New services will facilitate the migration of workloads to OCI, modernizing infrastructure for both legacy and AI applications [10] - IBM's extensive experience in business transformation and its strategic partnership with Oracle will support the deployment of these new services [11] Group 3: Market Impact and Strategic Advantage - The collaboration between IBM and Oracle is positioned as a leading example of how orchestrating AI agents can optimize operations and improve customer experiences [12] - The partnership aims to unlock growth and innovation by streamlining workflows and enhancing productivity across organizations [12]