Juniper’s big push: AI in all areas of enterprise networking

Juniper intends to unfold the gospel of synthetic intelligence throughout enterprise networking within the coming months with new services.

The anticipated strikes are a continuation of a method that has been an integral a part of Juniper for the reason that firm purchased wi-fi and artificial-intelligence software program maker Mist in 2019 for $405 million.

Mist’s cloud-based Wi-Fi Assurance system contains an AI-base engine known as Marvis that options dynamic packet seize and machine studying to routinely determine, adapt to and repair network points.

Wi-Fi Assurance measures efficiency and service-level metrics to make wi-fi networks extra predictable and dependable, and most lately its options have been expanded to incorporate to incorporate a few of Juniper’s Junos-based wired-switch platforms.

See extra predictions about what’s massive in IT tech for the approaching 12 months.

The continued “Mistifying” of Juniper and the elevated use of AI have been key subjects of dialog on the networking vendor’s latest digital AI occasion.

“I think we are just scratching the surface of what we can do with real AI,” stated Rami Rahim, CEO of Juniper. “As we continue to amass ever larger volumes of data – wireless and wired – it will lead to development of autonomous network actions we can take without human intervention in the cloud or at the edge.”

Rahim known as AI one of the vital overhyped and underhyped applied sciences throughout numerous industries however stated a wide range of actions have come collectively to make it viable in networking. Those actions embrace access to ample compute energy, the necessity to mine information as a valuable useful resource – 90% of digital information has been generated prior to now two years – and the open supply software program motion. “AI has been democratized by open source,” Rahim stated.

Algorithms and information are the place the magic is for Juniper, Rahim stated. “Mist was written during a scale-out era where the back-end was designed to consume mass volumes of data from thousands of Mist elements, and with every additional data point it gathers information that make it smarter. With that data Marvis understands what normal of the network looks like and can in many cases respond without a human intervention required.”

Rahim cited some Juniper prospects who’ve seen outcomes with Marvis, together with the retailer Gap, which noticed a 97% enchancment in point-of-sales system errors throughout its 1,500 shops, and Dartmouth College, which reported fixing 75% of its helpdesk tickets with no human intervention.

Dartmouth has a large wi-fi network serving a peak of some 28,000 gadgets concurrently, in accordance with Felix Windt, senior director, Network Services at Dartmouth who spoke in the course of the Juniper occasion.

AI finds the basis explanation for some massive issues that will take a human many minutes or hours to determine, and “we now have expert systems that can absolutely do that in seconds and do that proactively,” Windt stated.   

“We are at a stage now where we are receiving telemetry from our wireless network that comes with actionable items that says, ‘Hey guys, you need to look at the DNS server,’ or ‘There is a problem with this particular RF in this building, and here’s what I would suggest’,” Windt stated

The Juniper/Mist combo means the IT division isn’t chasing down issues after they’re reported, Windt stated.  “But rather we can proactively query specific individuals. You can run requests against Marvis where you can just [ask] who is doing the worst right now, and before [IT techs] have even contacted anybody I can get a list of the top 10 worst performers and look into how I might address their issues.”

Looking ahead, within the quick time period, Dartmouth is seeking to carry its access layer switches below Marvis to get a deal with on its wi-fi network.

“After that I would be looking at AI and security, and longer term I would like to see a sort of federated AI where different vendors’ AI systems can talk to each other and share information,” Windt stated.

For Juniper’s half, it has begun shifting some safety help into Mist, and continued integration with its {hardware} strains is what prospects will see this 12 months.   

In February, Juniper stated it could combine its Security Intelligence (SecIntel) safety bundle to the Mist platform for wi-fi access. SecIntel contains menace detection software program, native and cloud-based security-information and management software program with a next-generation firewall system. 

With the SecIntel integration, Mist prospects can get menace alerts detected by Juniper SRX Series Firewalls and ATP Cloud, letting directors shortly assess safety dangers when customers and gadgets connect with wi-fi networks and take applicable motion resembling quarantining gadgets or implementing insurance policies, Juniper stated.

Another future space of Mist AI integration will embrace Juniper’s SD-WAN know-how, Rahim stated. 

“Customers need the ability to assure solid connectivity across the entire path of network – that includes wireless and wired connections – and the path traffic takes from a particular location – be it at home or the data center or to the cloud – and it would be a natural extension to include the SD-WAN. That’s a work in progress,” Rahim stated.

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