The City of Las Vegas Expands Its Smart City Network With Juniper Networks

0:03 I like to think that we're one of the leaders, you know, in the entire country when it comes

0:06 to some of the things that we're doing, You know, with IOT and Smart cities, we have a

0:09 CIO that's just kind of a visionary and has really taken, you know, the city of Las Vegas

0:13 from being known as a place where you come to gamble and where you're leveraging casinos

0:18 to really being a smart city leader and being an innovation leader.

0:21 The strategic advantage for us in using AI & analytics is that we have cameras that are

0:25 deployed in a lot of our intersections.

0:26 We're able to do things with traffic and telemetry and take a look at cars.

0:29 And we can identify people who are walking the wrong way on the street.

0:32 We can also identify people who are in a car that are going the wrong way.

0:35 And so as we continue to move forward, where does all that data go?

0:38 We’re able to aggregate some of that data across different platforms.

0:41 But knowing that we have a platform and something like Mist that can do AI, that continues to

0:46 advance in the cloud as our situation changes or as we need to ingest data from different

0:50 sources, or maybe we want to start processing that data differently,

0:53 And the fact that it's built on a microservices type of architecture where as that continues

0:58 to grow and as it continues to expand, new features can be added.

1:01 ultimately having the infrastructure built on the back end from a network engineering

1:04 standpoint where I can offload that if I need to, it's very compelling

1:07 I can have the ability to ship some of that data up and off to the cloud.

1:11 We can scale up very, very quickly, we can pivot, we can move, and we can really leverage

1:14 smart city technology.

1:16 And so with that, you need a platform that you can build all of that on, that you can

1:20 expand very quickly, and that as you're deploying the equipment, you want to be able to take

1:24 configurations and apply that across the board.

1:26 And so, all of that needs to have a solid backbone that can scale.

1:30 And that's where the Juniper Solution comes in, along with the ability to leverage telemetry

1:33 through AI.

1:34 The flexibility that I have to deploy things to bring things up at scale because of the

1:38 CLI and some of the things that it can do and how it's built on Linux it's it's made

1:42 networking a lot more fun because there were things that I wanted to

1:45 be able to do over here and over here that I couldn't do that.

1:47 You just kind of get used to not doing, but with Juniper because of the CLI, because of

1:52 how those things work and how it's built, I can do some of those things now.

1:55 So I feel really good about the solution going forward.

1:58 I'm continuing to try to get more Juniper equipment in my environment and I have less

2:03 fear because it's a unified CLI across everything.

2:07 For me, being the network engineer for all of the IOT network and for, you know, all

2:11 these different innovation initiatives that we're doing and being there by myself, being

2:15 able to leverage automation and some of those things very quickly in a way I couldn't do

2:18 before has been a big improvement.