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3665 - 谈论自主网络是否现实?.pdf

上传人: 竿*** 编号:982293 2025-11-29 11页 361.33KB

1、Orlando,FLOctober 69IBM TechXchange 2025Session ID:3665Benjamin HickeyIBM,Director Product Portfolio ManagementIs it realistic to talk about autonomous networking?Networks are specialIBM TechXchange|2025 IBM Corporation2Specialist systems due to:ScaleScale:“shared fate”ImpactImpact:bottom of stackHu

2、man-glueManual-processesbut todays data but todays data and systemsand systemsIncidentsIncidentsImpactImpactKnownKnown-knowns knowns largely solvedKnownKnown-unknowns&unknowns&unknownunknown-unknownsunknowns unsolvedNetworks needsNetworks needsso small number of incidents,so small number of incident

3、s,have an overweight impacthave an overweight impactSiloedStatistical correlation only200%185%80%Network impacts are real and growingSources:Uptime institute,Flexera 2023 State of the Cloud Report,Billion New Logical Applications:More Background,IDC,April 2024,Multi-Cloud Networking:Connecting and S

4、ecuring the Future,Enterprise Management Associates,25 January 2023.Trac Research,*ZK Research and Cube Researchof organizations say their networks are more complicated than they were two years ago.more revenue is lost in network slowdowns than outages.increase in applications that networks must sup

5、port by 2028.IBM TechXchange|2025 IBM Corporation34IBM TechXchange|2025 IBM CorporationAutomation has helped.But not enough.It cant solve for systemic issues such as:Siloed datasetsSiloed datasetsCrossCross-domain analysisdomain analysisLifecycle managementLifecycle managementOnly AI can break throu

6、gh to deliver next-level efficiency benefits.Introducing IBMNetwork IntelligenceImprove the performance and reliability of enterprise networks while laying the groundwork for an autonomous futureBuilt for networksFaster time to valueMulti-vendor and multi-domain assistanceAutomated remediation08IBM

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根据报告的内容,全文主要内容概括如下: - **网络复杂性增加**:组织表示,他们的网络比两年前更复杂,网络问题导致的收入损失比中断更多。 - **自动化不足**:虽然自动化有助于提高效率,但不足以解决系统性问题,如数据孤岛、跨域分析和生命周期管理。 - **AI的潜力**:AI可以突破这些限制,提供下一级效率效益。 - **IBM网络智能**:IBM Network Intelligence旨在提高企业网络的性能和可靠性,为自主网络奠定基础。 - **AI功能**:提供数据湖、系统、流式数据管道和集成,以及AI原生UI和自动化工具。 - **AI优势**:网络准确性、分析AI的上下文知识、自动化根因和修复、推理AI的根因假设和修复工具。 - **社区和反馈**:鼓励参与TechXchange社区并提交反馈。 核心数据: - 网络影响是真实且增长的。 - 2028年网络必须支持的应用程序数量将增加。 - 自动化有助于提高效率,但不足以解决系统性问题。
现实还是幻想?" "AI如何革新网络管理?" 未来网络的关键?"
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