Juniper Networks infuses AI to pump up automation capabilities

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Juniper Networks at the moment introduced a number of new options and merchandise that bolster its AI-driven networking capabilities. The corporate has prolonged its Mist expertise to function throughout the wired community, information middle and, most lately, SD-WAN. 

In 2019, Juniper paid just a little over $400 million to amass Mist Methods, which appears to be like like a steal now as a result of it has turn into the cornerstone of the corporate’s AI technique. At acquisition time, Mist was arguably the very best AI engine for WiFi. The corporate began with wi-fi LAN, which could be the toughest space of networking to troubleshoot as the foundation trigger could be troublesome to diagnose. Our analysis has discovered that some engineers spend as much as one-quarter of their time doing nothing however troubleshooting WiFi points. 

This most up-to-date set of bulletins builds on present capabilities and advances Juniper’s “Expertise-First Networking” imaginative and prescient, the place the community have to be able to delivering best-in-class person and buyer experiences. New capabilities embrace: 

Improved wi-fi efficiency with automated placement and orientation of Juniper Entry Factors (APs) 

The position of APs is each vital to an incredible wi-fi expertise and difficult to get proper. Sometimes, IT execs will run a website survey after which use that because the plan as to the place to put them and the way to orient them. Web site surveys can typically miss issues in buildings that would impair efficiency. Additionally, it’s simple for a community engineer to misinterpret the plan and place the APs within the unsuitable location.

One other issue is that issues change in a constructing and the location survey is perhaps appropriate now however issues like new gear, flooring redesign or electronics can warrant the necessity for brand new AP placement.

Juniper Mist now routinely validates the precise placement and orientation of APs post-install and highlights any misplaced APs that want correction. The function makes use of the Juniper Wired Assurance service, which makes use of the corporate’s digital Bluetooth Low Power (vBLE) antenna arrays mixed with machine learning-based algorithms to routinely place Mist Wi-Fi 6 or 6E APs on a map within the Juniper Mist dashboard.

The placement, orientation, and distance between APs are calculated and proven to cut back — and even eradicate — deployment issues. Because the setting modifications, the dashboard will point out the place APs must be moved to. 

Discount in imply time-to-repair by AIops actions and community insights 

Mist accommodates a digital community assistant known as Marvis that permits community managers to interface with the community by way of conversational AI. Marvis accommodates a number of “Actions,” which is an easy approach of claiming it identifies a situation that creates a community situation. With this launch, Juniper added new Actions to deal with common-but-disruptive community points, equivalent to DHCP failure scopes and wired authentication. These Actions assist scale back imply time-to-resolution, which finally improves person and buyer expertise. 

Juniper can be releasing a Marvis Home windows shopper to enrich the present Android one. When put in on a Home windows pc, Mist has higher visibility into community points that may influence efficiency and connectivity. The knowledge is distributed to Mist AI so Marvis could make extra knowledgeable choices on what to advocate. Using a shopper obviates the necessity for an overlay sensor community.

Elevated scalability with much less complexity by way of a brand new Ethernet swap

Juniper added a brand new swap to its EX household of switches. The EX4100 is optimized for top scalability with simplified operations. The brand new swap takes the complexity out of rolling out an EVPN-VXLAN cloth that extends to the distribution and entry layers. It additionally contains quite a few vital safety capabilities equivalent to MACsec AES 256 and standards-based microsegmentation utilizing group-based insurance policies. This turns into vital because the variety of IoT units at an enterprise grows.

Total, the corporate is bringing cloud ideas to the community to make sure improved person and community engineer experiences. For instance, Mist AI accelerates deployment occasions by way of zero-touch provisioning and automatic workflows. It additionally allows speedy troubleshooting with full-stack occasion correlation and proactive anomaly detection, which may deal with points earlier than they’re user-impacting. Our analysis has discovered that about three-quarters of bother tickets are opened by customers and never the IT division, which retains community engineers perpetually behind. Juniper’s purpose is to reverse this development utilizing community information and AI analytics. 

As an organization, Juniper has finished a superb job pivoting away from being an organization that markets expertise, speeds and feeds to 1 that is ready to articulate its worth in enterprise phrases. Companies compete on each person and buyer expertise, and Juniper’s use of AI allows it to straight influence each. That is one thing that’s vital not simply to IT execs however to enterprise leaders. 

Chris Preimesberger is a former editor of eWEEK and a daily VentureBeat contributor who has been reporting on and analyzing IT developments and merchandise for greater than 20 years.

Zeus Kerravala is the founder and principal analyst with ZK Analysis. He spent 10 years at Yankee Group and previous to that held quite a few company IT positions. Kerravala is taken into account one of many high 10 IT analysts on the earth by Apollo Analysis, which evaluated 3,960 expertise analysts and their particular person press protection metrics.

VentureBeat’s mission is to be a digital city sq. for technical decision-makers to achieve data about transformative enterprise expertise and transact. Be taught extra about membership.

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