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OpenAI联手塔塔集团 在印共建大型AI数据中心
智通财经网· 2026-02-19 11:14
作为全球领先的企业技术服务提供商,TCS将面向全球市场推出基于OpenAI技术的相关服务,双方还 将合作为印度青年提供AI培训与相关资源。 塔塔集团内部数千名员工,将获得企业版ChatGPT的使用权限。 据报道,OpenAI新一轮融资的首期阶段已接近完成,本轮融资规模有望突破1000亿美元,创下史上最 大规模融资纪录,为这家初创企业开发AI工具提供充足资金支持。 目前,OpenAI首席执行官萨姆·奥尔特曼正在印度出席一场AI峰会。为在AI领域与谷歌(GOOGL.US)、 Anthropic等竞争对手争夺领先地位,他正牵头在全美及全球范围内大规模推进数据中心建设。OpenAI 曾宣布将通过"星际之门"项目投资5000亿美元,如今这一规划已扩容至1.4万亿美元。 在印度市场,OpenAI与TCS还将联手为特定行业打造智能体解决方案。这类AI服务可在特定场景下自 主运行,减少对人工干预的依赖。 智通财经APP获悉,OpenAI正与印度塔塔集团在人工智能(AI)领域展开合作,其中包括建设有望成为印 度规模最大的数据中心基础设施之一。 目前正筹备超1000亿美元融资的OpenAI,将与塔塔集团及其技术服务子公司塔塔咨询 ...
联想集团发布最新CIO报告:AI投资回报率飙升至179%,企业有望进一步释放效率红利
Ge Long Hui· 2026-02-03 02:54
Core Insights - The report indicates that enterprises are increasingly optimistic about the return on AI investments, with a potential return rate of up to 179% as Agentic AI becomes more widely adopted [2][3] - Despite the high expectations, there is a significant gap in AI readiness among organizations, with only 27% having established a robust AI governance framework [2][3] - The transition from Generative AI to Agentic AI is anticipated to occur by 2026, with Agentic AI expected to become the primary focus for CIOs [7][9] Investment Expectations - Enterprises expect AI investments to yield substantial returns, with nearly half (46%) of AI proof-of-concept projects successfully moving into production [3] - A majority (96%) of respondents plan to increase AI investments in the next 12 months, with an average growth rate of 13% [3][11] AI Readiness and Governance - While 60% of organizations believe they are in the mid-to-late stages of AI application, only 27% have a well-established AI governance framework [6][11] - The lack of data quality, skilled personnel, and organizational collaboration is widening the gap between AI aspirations and reality [6] Deployment Trends - Hybrid AI is becoming the preferred deployment model, with 62% of surveyed enterprises choosing it as their main architecture [2][7] - Currently, only 21% of CIOs have deployed Agentic AI in actual business operations, with over half (55%) still in exploratory or pilot phases [2][7] Infrastructure and Support - The successful implementation of Agentic AI will depend on organizations' long-term capabilities, including secure and efficient infrastructure and flexible hybrid architectures [9][11] - Lenovo is introducing solutions to help enterprises transition from pilot projects to scalable AI applications, emphasizing the importance of governance frameworks [11][12] Future Outlook - The role of AI is evolving from a supportive tool to a production entity, necessitating advanced reasoning capabilities and low-latency feedback [7][9] - AI PCs and edge devices are becoming critical components in enterprise AI strategies, directly empowering employees and ensuring business process security [10]