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#1 Posted : 07 April 2020 09:07:15(UTC)

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Juniper Networks’ Mist Systems rolled out new products and services this week including an edge appliance called Mist Edge that brings Juniper’s microservices architecture and Mist’s artificial intelligence (AI) on-premises.

Juniper acquired wireless LAN startup Mist Systems for $405 million earlier this year. In addition to the wireless technology, the deal gave Juniper an in-house AI engine, which it plans to integrate across its portfolio to advance “our larger vision about leveraging AI in the enterprise,” said Jeff Aaron, head of marketing for Mist.

One of the ways that the company is advancing this vision is through a new WiFi 6 access point called AP43. “This expands our existing access point portfolio, and also brings in cloud and AI to really take advantage of WiFi 6,” Aaron said.

AP43 is cloud-managed and based on the new 802.11ax (WiFi 6) standard. The standard promises 30% faster internet speeds compared with current WiFi, plus lower latency, better efficiency, and improved range. The new access point uses AI to automate intelligent load balancing and service levels that monitor and enforce orthogonal frequency-division multiple access (OFDMA) subcarrier assignments.

Mist Edge
The new Mist Edge also includes an integrated AI engine and can automate workflows. By bringing Juniper’s microservices architecture on-premises, customers get the agility of a distributed software architecture at campus environments that require network functions to be delivered locally for high-bandwidth, low-latency applications, Aaron said.

“It brings capabilities we have in the cloud on premise,” he said. “So customers that want to do some design configuration elements without moving to the cloud — this helps them get there.”

Mist Edge is currently available as a standalone appliance with multiple form factors, supporting various ranges of access points, respectively. The company says virtual machine and third-party hosted instances of Mist Edge will be available soon.

AI-Driven Support
And finally, Mist added what it calls “AI-driven support,” which now comes standard with Mist cloud service subscriptions.

It works like this: Mist customer support teams use the AI engine to reduce time-to-problem resolution to improve customer experiences. These customer support cases are then fed back into the AI engine to continually enhance its capability and functionality. Some of the capabilities include:

Dynamic packet capture, which automatically collects information when detecting an anomaly, thus minimizing onsite visits for troubleshooting
An AI toolbox that helps to identify the root cause of problems across wireless, wired, and device domains
Service level expectations (SLEs) for key wired/wireless criteria can be set, monitored and enforced by customers and partners, and automated workflows quickly address issues
Marvis Virtual Network Assistant (VNA) provides trending insight, recommendations on how to fix problems and other integrated help-desk functions using natural language queries and AI-driven intelligence
Using these capabilities, Mist can notify customers and partners proactively when issues are detected. “What’s interesting here is we’ve created a new model where we are shooting toward an environment of almost no inbound trouble tickets,” Aaron said. “So we detect a customer’s problems before they even know it’s there and we give them solutions to fix it.”

If the issue persists and live support is needed, the trouble ticket is automatically routed to tier 3 experts in the Mist support center, thus allowing customers to bypass traditional IT support.

Ref: https://www.sdxcentral.c...-ai-on-premises/2019/06/
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