Tom Wilburn, Global VP, AI-Driven Enterprise, Juniper Networks

The Network for the Next Decade

WirelessAI & ML
Tom Wilburn Headshot

See why—and how—Juniper Mist AI delivers fundamentally better wireless outcomes.

For most of its existence, Wi-Fi connectivity was a settled technology. That is until Juniper Mist™ built its technology from the ground up to use AI. Watch for an in-depth examination of how Juniper Mist AI radically speeds deployment of Wi-Fi networks and smooths its operations. Don’t miss the quick demo that rounds out the video.

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You’ll learn

  • Four reasons Juniper lets you deploy networks faster, at lower cost, with fewer mistakes compared to the competition

  • Four reasons Juniper lets you deploy networks faster, at lower cost, with fewer mistakes compared to the competition

Who is this for?

Network Professionals


Tom Wilburn Headshot
Tom Wilburn
Global VP, AI-Driven Enterprise, Juniper Networks


0:05 AI driven enterprise and how you can leverage AI to deliver fundamentally better experiences

0:12 in the network.

0:14 The network is evolving as business requirements change.

0:17 Wi Fi started in the retail vertical in the late 90s and then exploded into the enterprise.

0:24 When Intel delivered the Centrino chip that put Wi Fi in every laptop in roughly a five

0:31 year window after that happened, every wireless architecture in the market today, except for

0:36 mist was introduced.

0:39 And what's so interesting is all of that preceded the smartphone or modern cloud services.

0:46 And after that we live through a desert of innovation, where the only real engineering

0:50 that was happening was financial engineering, as companies were acquired and the market

0:55 consolidated.

0:57 And then an interesting thing happened in 2014, the team that built Cisco's controller

1:03 base wireless business and acquired Meraki the first cloud managed technology spun out

1:08 of Cisco, was funded by Google and Cisco investments to build the network for the next decade.

1:16 That company mist was acquired by Juniper in 2019.

1:21 And today, their vision of bringing AI to the network has become very real.

1:26 As Chad GPT is a part of all of our lives.

1:30 Let's take a second and see how AI can fundamentally change network operations.

1:37 So eight years ago, the company was founded today three of the four largest companies

1:44 in the world rely on Juniper for their wired and wireless networks.

1:49 And Juniper is not only a leader in the Magic Quadrant for wired and wireless networks,

1:54 but it's also the only networking company that's a leader for location services and

2:00 we'll talk about how we combine these two powerful capabilities in just a second.

2:06 So what do we do that's different?

2:09 At the heart of every company's digital transformation is the network.

2:14 Juniper helps our customers deploy networks faster.

2:17 At lower cost, and with fewer mistakes.

2:21 And I'm talking about companies that deploy as many as three to 4000 access points in

2:27 a single day.

2:30 Once the network is deployed, again, we leverage AI to improve the user experience and the

2:36 experience of the IT teams that operate these networks.

2:40 I'm not talking about a small change here.

2:43 I'm talking about fundamentally changing network operations, eliminating 80% of the trouble

2:49 tickets our customers get, and automating how we root cause and solve the problems when

2:55 they do occur.

2:57 And then I mentioned combining location services with network on activity to deliver better

3:03 business outcomes.

3:05 We actually can tell our customers how their real estate is being used.

3:10 Engage a customer in a retail store the way you wouldn't be on an E commerce platform.

3:16 help a student navigate a university campus.

3:20 powerful capabilities that come together in junipers, network architecture.

3:26 allow our customers to speak for just a second about their experiences.

3:31 As I said earlier, this is not a 5% improvement, or a 10% improvement.

3:36 This is a fundamental change.

3:39 The world's largest logistics company reduced the time to close a trouble ticket by 96%.

3:47 ServiceNow the world's largest automation company, the company that many enterprises

3:52 rely on to run their helpdesk saw more than 90% of their trouble tickets disappear.

3:59 And this is what we hear consistently from our customers.

4:03 It fundamentally improves network operation.

4:06 We understand user experiences in real time.

4:10 And we're able to solve problems with AI that earlier architectures cannot do.

4:16 What do we do that so fundamentally different?

4:19 There are five things and we'll show this to you in the demonstration in just a few

4:24 moments.

4:25 The first thing is this architecture was designed from the ground up to collect telemetry from

4:33 every client every minute, up to 150 states on every device, and all they have to have

4:42 is a Wi Fi chipset.

4:44 So we know if the signal strength is poor at the back of the lobby.

4:49 We know if someone entered their password wrong and couldn't authenticate on the network.

4:54 We know if your DHCP server went offline.

4:58 We don't need a user to open a ticket with it to start the process.

5:04 Once we see that something's wrong, we leverage AI in the cloud to do what a human being would

5:10 do.

5:11 If you could have a staff that stayed awake 24 hours a day, seven days a week and was

5:17 deployed next to every switch port and AP in your network with a sniffer.

5:22 That's exactly what we do.

5:25 AI can dynamically capture packets and do automated root cause analysis.

5:31 And if the problems in the network, actually autocorrect that's how we reduce trouble tickets

5:38 by 80 to 90%.

5:40 That's how we reduce meantime to resolve issues by 80 to 90%.

5:46 We've moved off the controller architecture, and we scale to the largest companies in the

5:53 world and we move to an enterprise grade cloud, a micro services architecture that's more

5:59 reliable, more resilient, and more available.

6:03 And lastly, we build location services into the network to make it easy to deploy and

6:09 leverage these capabilities and everything we do is exposed to you through open API's.

6:18 For 20 years, we've talked about the single pane of glass as the holy grail of networking.

6:25 We need to go beyond that.

6:27 Today we've combined wired, wireless, SD, Wan and NAC all under a single pane of glass.

6:36 But it's much more than that.

6:38 It's about going beyond single pane of glass and leveraging AI to deliver insights to actually

6:44 tell you what you need to know that's happening in your network.

6:48 In real time with no false positives.

6:51 We can tell you you have a bad Ethernet cable.

6:54 We can tell you that somebody couldn't connect because of a DHCP server.

6:59 We can tell you that even though the switches up the AP is up.

7:03 There's a VLAN missing on that port.

7:06 real insights in real time that serve up exactly what you need to know.

7:12 And if you want more information.

7:14 There's a conversational interface you can leverage.

7:17 Tell me who's unhappy in my network.

7:20 Tell me why the CEO had a bad zoom call last week.

7:24 all of that at your fingertips, much more than a single pane of glass.

7:31 We enable it to be proactive.

7:33 If somebody in your network is having an experience like you see on the screen.

7:38 How do you know with juniper mist You'll know in real time that a user's having a bad experience

7:44 without waiting for them to open a trouble ticket, and then you can use our conversational

7:49 system to ask AI to pinpoint exactly where in the network, the problem occurred, fundamentally

7:57 better outcomes for businesses, the IT teams, and the me.

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