EDITOR ’ S QUESTION
DAVID HUGHES , CHIEF PRODUCT AND
TECHNOLOGY OFFICER , HPE ARUBA NETWORKING
Along with advances in AI technology , the market is maturing in terms of how it speaks about and categorizes AI .
At HPE Aruba Networking , we are focused on AI Networking , which addresses how artificial intelligence for IT operations ( AIOps ) applies to Wi-Fi , switching and WAN environments , and which can enable IT teams to shift from focusing on routine , time-consuming network management and security tasks to focusing on driving real business value .
For all AI learning , the size of the training set is critical to its effectiveness .
HPE Aruba Networking ’ s large installed base drives a higher quality of AI decision making .
By combining network , security and user-centric analytics , AI Networking can not only identify and inform IT staff of anomalies , it can also apply decades of networking expertise to analyze and provide prescriptive actions with greater than 95 % accuracy .
Today ’ s IT teams are under tremendous pressure .
From adapting to the requirements of new hybrid work scenarios and accommodating increasing numbers of users , devices and applications connecting to the network , to fighting the proliferation of security threats , IT teams have a lot on their plates . A new approach is needed , one where AI Networking can free up IT teams by predicting and pre-empting issues before they happen – therefore reducing trouble tickets and ensuring SLAs are met – and where security threats are diminished through the automatic identification , profiling and monitoring of devices that are assigned appropriate role-based access policies .
Because it helps to free IT teams from routine , timeconsuming tasks , AI Networking is enabling CIOs to develop more creative and strategic roles for their IT professionals – identifying and launching projects that can directly impact business outcomes , delivering improved customer experiences and enabling new means of value generation . With AI Networking , CIOs can move networking from the ’ cost center ’ column to the ‘ creating true business value ’ column .
Using AI Networking , IT teams can eliminate manual troubleshooting tasks and reduce the average resolution time by as much as 90 % for common network issues .
They can also increase network capacity as much as 40 % through AI-driven configuration optimization , based on learning across thousands of networks and millions of deployed devices .
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