Network Computing thinks AI-driven wireless will be key to digital workplace

Writing for Network Computing, Kevin Fenn, global head of networks for global technology consultancy firm ThoughtWorks, relates the following:

“Our company decided its old wireless infrastructure−best captured by the image of administrators starting at screens and waiting for systems to fail before reactively fixing them−was no longer up to the task of a growing digital enterprise. With new AI-powered, cloud-based technology, we have eliminated manual processes in favor of automated ones that detect anomalies, troubleshoot problems, and make Wi-Fi more measurable and predictable. If, for example, it takes longer than two seconds for a user’s iPad to connect, the system is alerted and provides insights on what’s causing the issue. Before, our IT staff spent 20 hours every couple of months individually hand-changing the passwords on the company’s 90 wireless controllers spread around the world to meet security protocols. Now, that task is automated and takes mere seconds.”

Additionally, for ThoughtWorks’ latest wireless implementations, Fenn reveals of his network division:

“We also are looking at another important wireless technology−Bluetooth Low Energy (BLE), which emits unique signals that identify the mobile device’s location−to enhance the mobile experience beyond basic Wi-Fi connectivity. Machine learning in the cloud delivers location estimates with one- to three-meter accuracy and sub-second latency, greatly improving the technology’s usefulness and potential. We’re excited by BLE’s ability to, say, give a visiting customer turn-by-turn indoor directions to a conference room, or inform employees who are onsite at a given time about the availability of flu shots. The capability could even be used to monitor employee movement around the office via their devices to intelligently manage lighting and climate control systems to save energy and improve workers’ comfort.”

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