Cloudera 年度销售启动大会 ELEVATE27 今日开幕，聚焦在混合数据环境中构建、运营、扩展并全面治理 AI 能力加利福尼亚州圣塔克拉拉, Feb. 11, 2026 (GLOBE NEWSWIRE) -- 作为业界唯一实现“数据全域 AI”化的公司，Cloudera 今日在年度销售启动大会 ELEVATE27 上公布强劲业绩，正式拉开 2027 财年的序幕。 在过去一年里，Cloudera 实现了强劲增长，赢得众多新客户，拓展合作伙伴网络，并持续推动创新，进一步巩固其作为业内唯一混合数据与 AI 平台的领先地位。 实现创纪录的财务业绩Cloudera 以强劲的第四季度表现收官 2026 财年，这一成绩得益于新业务与扩展业务同比增长逾 50%、年度经常性收入稳健增长，以及第四季度全球各区域新客户增长率突破 100%。 公司业绩凸显了企业对灵活、安全的数据与 AI 平台日益增长的需求——这些平台能够在云端、数据中心及边缘环境中实现无缝运行。 推动业界最具灵活性的数据与 AI 平台Cloudera 凭借其独特优势持续保持发展势头——作为唯一支持全场景部署并提供统一体验的数据与 AI 平台供应商。 通过助 ...

Core Insights - Cloudera has launched its latest version of Cloudera Data Services, enabling enterprises to run private AI within their firewalls, addressing security concerns related to sensitive data and intellectual property [1][2] - The new services allow for significant cost reductions, improved data lifecycle management, and enhanced productivity for data teams, with a reported 80% increase in workload deployment speed and a 20% boost in productivity for users [2] - Cloudera's solutions are designed to simplify AI application processes while maintaining security, marking a significant milestone in data modernization [3] Company Offerings - Cloudera Data Services now supports on-premises deployment, allowing enterprises to leverage cloud-native agility and scale securely within their data centers [2][4] - The Cloudera AI Inference Service and AI Studios are now available for local deployment, previously limited to cloud environments, enabling organizations to build and run GenAI applications securely [2][4] - The integration of NVIDIA technology enhances the capabilities of Cloudera's AI services, facilitating the management of AI production lifecycles directly within secure data centers [4] Market Context - A study by Accenture indicates that 77% of enterprises lack the necessary data and AI security practices, highlighting the critical need for solutions that address security and productivity in AI applications [1] - Industry analysts emphasize the urgency of AI application adoption while addressing data security concerns, indicating a growing demand for secure and efficient AI deployment solutions [3]