KodaCloud's AI Makes Wi-Fi Networks Agile

By Paula Bernier

We’ve heard a lot about artificial intelligence lately. But until now I had not heard about applying AI to the realm of Wi-Fi networking.

But KodaCloud’s Ronny Haraldsvik explains that applying AI to Wi-Fi networks allows for big data analytics and the automation of processes. And that, he adds, offers the potential to make networks more agile, elastic, and cost efficient. 

“In the coming 5 years, artificial intelligence has the potential to completely change the way we run deploy, manage, and utilize networks by ramping up new global services and cutting costs through the application of software-defined networking and network function virtualization technology – managed by AI,” the KodaCloud senior vice president and CMO says.

Much is to be gained from that considering 68 percent of IT budgets are dedicated to fixing things, as Gartner notes, Haraldsvik points out.

AI also can improve overall network experience, he adds. Here he points out that today 75 percent of network issues are identified by the end users.

“AI can proactively manage and fix network issues,” says Haraldsvik.

It also can enable managed as-a-service business models, he continues.

Haraldsvik will be speaking on the panels “The Road We Are On: The 5G Trios” and “Why AI Makes Your Wi-Fi Smarter” next week at the 5G Summit and MSP Expo events. Both events are collocated with ITEXPO, a Technology Marketing Corp. show taking place in Fort Lauderdale, Fla.

Privately held KodaCloud offers enterprise customers an AI-powered cloud Wi-Fi service. The company’s investors include Comcast Ventures, Celtic House Venture Partners, and Voyager Capital.

“Intelligent automation can spot and remedy problems before they become productivity-sapping issues or even outright outages, automatically adjusting operational parameters like channel assignments and signal strength system-wide with no operator intervention,” Craig Mathias of Farpoint Group recently wrote for the KodaCloud blog. “Humans simply cannot do this anymore – the systems we depend upon are too large for any human to manage the numerous low-level details involved.” 

Edited by Stefania Viscusi

Executive Editor, TMC

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