Networking Solutions for Higher Education IT Needs

AI & MLWireless
A cartoon image of a woman standing at desk in front of a laptop computer.

How does Juniper help higher education IT? So many ways.

Higher education IT departments face challenges unlike any other large organization. And that’s where Juniper’s Marvis Mist AI’s virtual network assistant can help. It uses machine learning to identify and address network errors. Follow along for an overview of how Juniper networking solutions support the challenges and needs of IT in higher education.

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You’ll learn

  • About localized services, such as turn by turn wayfinding and real time insight, to help students know the locations of their classes 

  • How faculty can tap football analytics to monitor class attendance trends

  • How to get a simple, single networking solution for higher education networking needs

Who is this for?

Network Professionals Business Leaders

Resources

Transcript

0:00 [Music]

0:00 it's the first day of school and nerves

0:02 are flying

0:03 jane is a freshman and anxious about

0:06 finding all of her classes paul is the

0:08 i.t director and he's worried that the

0:10 influx of students will cause network

0:12 problems that he and his team can't

0:14 handle

0:15 paul knows the campus network isn't

0:17 going to be able to keep up with the

0:18 demand of the first day of school it's

0:21 frustrating and overloads the it

0:23 department with too many services

0:25 software

0:26 and devices to check

0:28 well paul we've got a solution for you

0:31 and jane

0:33 juniper networks

0:35 marvis missed ai's virtual network

0:38 assistant uses machine learning to help

0:40 identify and proactively address network

0:42 errors so when jane encounters a problem

0:46 our system can automatically detect the

0:48 issue and notifies paul and his team to

0:51 solve it at lightning speed the power of

0:53 juniper's missed ai can provide

0:55 localized services on campus such as

0:58 turn-by-turn way-finding and real-time

1:00 insight so jane can see exactly where

1:03 her classes are

1:05 faculty can also harvest football

1:07 analytics to monitor class attendance

1:09 trends

1:10 so paul jane you can relax and enjoy the

1:14 first day of school with a simple single

1:17 networking solution for all higher

1:19 education it needs

1:21 juniper experience first networking

1:25 contact us today for a free demo

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Experience More

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1:01:14
The still image is of Juniper’s Jisheng Wang presenting on the self-driving network. The slide shown is titled, “Self-driving Network: From Telemetry to Actions.” There are green bars on the left under the heading “Telemetry,” and they are labeled: Application, Client, Wireless, Wired, Firewall/SD-WAN, Cloud Services/Data Center. There are up/down arrows in between each bar. In the middle there are bars under the heading “Pipeline.” The bars are labeled from top to bottom: Input Raw Data, Transformation/Correlation, Feature, Alerts, Root Cause, and Actions. On the right, there are three bars under the heading, “Actions.” The bars are labeled from top to bottom: Self-Driving Actions, Driver-Assisted Actions, AI-Assisted Troubleshooting.”

Juniper and the Marvis Journey 

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15:24
The screenshot of a presentation slide is titled, “Mist Auto Placement/Rotation With AI/ML.” There are four bullet points underneath on the left that read: Orchestration of RTT-FTM, VBLE, patent pending AI/ML algorithms for location estimation and directionality<2m 90%; Patent pending location algorithm for estimating LOS & NLOS APS; Ability to auto-detect errors and inconsistencies in existing deployments AND auto-correct; Ability to auto place and orient all APs on a map for new deployments, simplifying Day 1 even more. There are charts on the right side under the heading, “Auto placement — Location Estimation.” The charts show Bias Removal and Correction of Flip Ambiguity.

Juniper AIOps and Location

Summits AI & ML
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5:35
The image is a still from the video featuring the host and the guest, Juniper’s Christian Gilby talking. Their pictures are side by side with the word “News” and the Juniper logo in the bottom right corner. The headline under the pictures reads, “New on the Feed: Take advantage of WiFI 6E without the complexity. Learn how AI can tune and optimize the network in real time.”

Take Advantage of WiFi 6E Without the Complexity

News on The Feed Wireless
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15:33
Slide with a headline that says, “So, Do We Need mGig for AP Uplink?” Below that is a bullet list that says: “Facts of life: * Today most Aps utilize <100 Mbps aggregate * Will burst up to 200–500 Mbps depending on channel bandwidth * Generally need 100 MHz of spectrum to exceed 1 Gbps of real-world burst throughput.” To the right of the bullet list is a bar graph that says, “PEAK REAL WORLD THROUGHPUT.” The y axis is Mbps from 0 to 1400 in increments of 200. The x axis has four labels: “1) Dual Band–20 MHz + 20 MHz, 2) Dual Band–20 MHz + 40 MHz, 3) Dual Band–40 MHz + 40 MHz, 4) Tri Band–20 MHz + 40 MHz + 80 MHz.” A horizontal line goes across the graph at the 1,000 Mbps level. The results are: 1) 200 Mbps, 2) 400 Mbps, 3) 800 Mbps, 4) 1,300 Mbps.

Juniper Continues to Trailblaze Wi-Fi Networks

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