Customers are always telling me that they are being asked to “do more, with less.” Again, and again, the stories sound familiar. Their IT teams are small and budgets are tight, while the hard work of keeping the network up and running is more complicated than ever. And operations is only one responsibility. There’s also a growing list of requests to roll out new apps and services that’s overwhelming even the most seasoned admins.
What if a large portion of day-to-day operations were automated? How about if AI-based machine learning was sitting everywhere in the network to help IT focus on higher-level projects?
AI有Smarts来处理许多网络问题，每天都会淹没帮助演奏者。考虑不良客户连接性和网络性能不佳的电话和麻烦门票，这将消失。这些问题通常始于RF基本面差和虹吸生产率的虹吸管，可以更好地花在其他地方。
Once the calls start, solving an RF issue can require visits to remote sites, RF spectrum analysis, efforts to reproduce the problem, and time on the phone with a vendor’s technical support. In addition to RF issues, IT handles those curious intermittent problems that can be especially difficult to troubleshoot and even more time-consuming to solve.
如果您的网络能告诉您这些情况发生什么问题并推荐如何解决这些问题，那会不会很好？包括AI和自动化的网络可以做到这一点。
使用AI解决现实世界问题
具有嵌入式AI的工具正在迅速成熟。这些智能的自动化工具专为需要为最终用户提供快速和积极主动分辨率的IT团队而设计。实际上，AIOPS是我们行业中一种快速的方法。
AI可以在包括：
- 连接性- 所有阶段包括关联，身份验证，DHCP和DNS
- 带宽和吞吐量- 最佳通道和无线电带（2.4 GHz和5 GHz）
- Wi-Fi performance– AP location and density, airtime utilization
- AP性能– transmit power, frequent channel changes, “green” power savings
- App responsiveness- 内部应用程序和云托管的SaaS
- 指标- 连接时间，吞吐量，延迟，抖动，MOS得分，数据包丢失，框架重试，RSSI
让我们看一下通常的麻烦票的最高列表，看看AI如何让它起步。这是识别问题并推荐解决方案的快速轨道，以便您可以使用更少的资源来做更多的事情。
“我无法连接到网络。”AI can run different algorithms and create dashboard views that immediately enable IT admins to see the connectivity health for all clients. Necessities such as overall score, health of each stage of the connectivity journey, and insights regarding root causes are easily understood. Drilling down, IT admins can even access details on issues affecting specific clients.
“互联网很慢。要下载并发送文件。”表现不佳的网络意味着用户的生产力较低。AI可以立即查明问题的来源，并建议采取行动，以便将其采取优化性能并恢复正常操作，以便员工可以重新开始工作。
“我们正在优胜美地会议室中的一个项目，Wi-Fi连接不断下降。”当用户在特定位置遇到麻烦时，AP通常是问题的根本原因。AI和自动化为IT团队提供了原因和建议，以便他们具有消除猜测并迅速进入问题解决模式所需的见解。
AI在Aruba中占据了中心地位
投资于解决现实世界问题的AI创新是我们的使命。我们云管理的网络操作平台Aruba Central依靠AI来分析有关基础架构设备，流量，性能和问题的日志和遥测数据。AI Insights是Aruba Central中内置的功能，让您看到AI生成的数据，这些数据在您的网络中不断捕获。
重要的是，AI不断提高其对各种行业各种类型，规模，拓扑和交通方式的网络良好，公正和差的理解。这种连续的学习被塑造成推荐的动作，网络管理员可以用来主动解决问题并优化体验，而无需花费长时间的时间故障排除。
每一天,阿鲁巴岛中央是网络platform that can save IT admins time by helping admins do the heavy lifting. AI lets IT finally achieve that difficult goal of doing more, with less.
