Within the next 2 years it is estimated that more than 50% of data will be generated outside the data center or cloud¹, likely coming from the estimated 55 billion IoT² devices connected worldwide. Businesses are combining this data with new applications at the Edge, enabling new insights and actions in real-time to improve operational efficiencies and create new revenue streams.*
Modern networking infrastructure is extremely complex due to increased network size, volume of traffic, and diversity of devices and applications. Manually configuring these networks has become time-consuming, error-prone, and difficult to keep up with the explosion of IoT devices and distributed connectivity from the remote edge to the branch, campus and datacenter. To be effective, network operators need increased operational and user insights, or better yet, intelligent automation driven by AI that is aware of all aspects a human operator would consider in managing a network and which applies the sum of its knowledge to the larger scale and increased complexity of today’s environment.
Artificial Intelligence (AI) and machine learning (ML) are used in network management tools to help resolve complex issues impacting performance and user experience – it also provides assurance and can save precious time and energy.
Aruba is doing Administrative tasks by himself:
Today’s businesses seeking to convert data into new business outcomes depend on an always available and secure network. With Aruba AIOps, IT can reduce trouble tickets, ensure SLAs, and deliver the best possible experience for users. The volume and variety of data combined with Aruba’s decades of networking domain expertise and data modeling experience means Aruba AI Insights can be deployed with confidence. Aruba User Experience Insight and ClearPass Device Insight also ensure user SLAs are met and the entire environment remains secure.
Solution price starting from 90.00 EUR + VAT per device.
More information on the Aruba website.
To find out more about Aruba management system with artificial intelligent or get your special offer, please contact BIT sales specialists by calling or writing to email@example.com.
*1 Gartner Market Guide for Edge Computing Solutions for Industrial IoT, September, 2019; 2 IDC