Sunalini Sankhavaram, Sr. Director of Product Management, Mist Systems, Juniper Networks

Indoor Location Services - Juniper Networks Introduction

Sunalini Sankhavaram Headshot
An image showing the Juniper Indoor Location Services webpage. In the lower-right corner is an image of host Sunalini Sankhavaram, Sr. Director of Product Management, Mist Systems, Juniper Networks.

Should you offer indoor location services? Absolutely. Like, yesterday.

Now more than ever, indoor location services are critical to revolutionizing the user experience. This video explains how the Mist Cloud Architecture converges Wi-Fi and virtual Bluetooth LE (vBLE) to enable the high-accuracy indoor location services enterprises have come to expect. 

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You’ll learn

  • The foundations required to establish enterprise-class location services 

  • How Juniper and Mist will change the indoor location services market into a billion dollar market

  • How Junipers indoor location services can accelerate your digital transformation, improve experiences, and increase revenue 

Who is this for?

Network Professionals Business Leaders


Sunalini Sankhavaram Headshot
Sunalini Sankhavaram
Sr. Director of Product Management, Mist Systems, Juniper Networks  

Guest speakers

Bob Friday Headshot
Bob Friday
VP and AI Chief Scientist, Juniper Networks


0:06 if you really think about it

0:08 it's because mist is a platform

0:12 a cloud native

0:14 ai driven session smart platform

0:18 which

0:19 by the click of the button

0:21 enables a customer

0:23 to leverage the same platform

0:25 from premium connectivity

0:27 to location-based services

0:30 to enable

0:31 their digital transformation initiative

0:34 this is the power

0:36 of the missed cloud native ai driven

0:39 session smart platform

0:40 for those who don't miss know mrs

0:42 actually started with the vision of

0:44 building a solution that could answer

0:45 questions and manage networks on par

0:48 with it domain next

0:49 what most people don't know was our

0:51 actually our first aiml pad was really

0:53 around indoor location and our virtual

0:55 bele technology where we use

0:57 unsupervised machine learning models to

0:59 learn the path loss model for each

1:02 environment each building for every

1:04 individual user and this is basically

1:06 learning that rssi versus distance it

1:08 had to be done manually in the past

1:10 fingerprinting where people had to walk

1:11 around the building so this is an

1:13 example where ami aiml was actually able

1:15 to automate what was a very friction

1:17 point for the indoor location users

1:20 and when you look what we're doing this

1:22 inside of our ai journey indoor location

1:24 is now becoming a big part of both our

1:25 line of business customers you know for

1:27 the wayfinding and asset tracking users

1:29 but it's also becoming a big part of our

1:31 i.t customers where we're actually

1:33 integrating this technology into zebra

1:34 devices helping our it customers able to

1:36 find devices that they're keeping track

1:38 of things so indoor location has been a

1:41 big part of the missed journey since we

1:42 started it's a big part of my personal

1:44 career journey and really i'm on then

1:47 high yes we're on the mission to make

1:48 interlocation a must have in the

1:50 industry

1:51 over the last 20 years we've seen wi-fi

1:53 go from a nice to have a must-have to

1:56 lately a business critical requirement

1:58 in enterprise customer space we're

2:00 seeing a similar journey for indoor

2:01 location now if we look at the friction

2:03 points for indoor location

2:05 similar to wi-fi we're in the phase

2:07 where we need more interoperable

2:10 more standard-based wireless

2:11 technologies render location and greater

2:14 mobile devices and this is working

2:16 villagerly with our partners our

2:18 whiteband partners our 950 halo partners

2:21 to really bring more of these

2:22 technologies and location technologies

2:24 into our mobile

2:25 second friction point with indoor

2:26 location has been compelling apps now

2:28 over the last 10 20 years we're starting

2:30 to see compelling apps across all

2:31 verticals whether it's healthcare retail

2:34 financial hospitality there is an app

2:36 for every vertical we're in right now

2:38 and they're becoming more compelling on

2:40 which indoor location is being hung

2:42 third key point here is really around

2:43 complicated deployments and this or miss

2:46 has actually added a lot of value with

2:48 our ml enterprise ml models really

2:50 eliminating a need for manual rf

2:52 fingerprinting this is basically getting

2:54 that path loss model for every building

2:56 and for every user down and then finally

2:58 overlay networks up to now we've asked

3:00 our customers to basically put overlay

3:02 networks in for their indoor location

3:03 issues at miss we have converged both

3:06 connectivity and interlocation into one

3:08 solution and limiting the need for our

3:09 customers within those overlay networks

3:12 so from this interlocation has been a

3:14 key part of our strategy since we

3:15 started the company

3:16 that's a key part offering for both our

3:18 line of business customers and for our

3:20 ip customers

3:22 bob thank you so much for that for

3:24 explaining exactly how we're going to

3:25 transform the location market into a

3:27 billion dollar market with our standards

3:29 based micro services architecture

3:31 location platform

3:32 based on apis and more importantly based

3:34 on the wi-fi and bluetooth energy

3:36 technology that is so pervasive nowadays

3:39 so what is this indoor location services

3:41 platform all about what are we

3:42 delivering

3:43 we are truly delivering accurate rtls

3:48 based on wi-fi and bluetooth low energy

3:51 standard-based technology in a flexible

3:54 scalable and resilient manner gone are

3:56 the days where you deploy appliances

3:58 on-prem gone are the days where you're

4:00 worried about oh if i bring on a

4:03 thousand iot devices or a thousand new

4:05 assets to be tracked do i have to worry

4:07 about my backend scale the microservices

4:09 architecture that the entire miscloud

4:11 platform is based on mitigates any

4:14 concerns around scalability around

4:16 serviceability again another key aspect

4:18 of location services everything we do

4:21 leveraging machine learning makes a

4:23 system extremely serviceable as well

4:25 which we know is key especially in

4:27 mission critical location applications

4:28 in healthcare in warehousing and also

4:32 very recently in the enterprise space

4:34 so what makes this location platform

4:35 come to life it is a combination of

4:38 wi-fi and bluetooth energy location

4:40 services on the wi-fi front we do

4:43 location for connected and unconnected

4:45 devices for various use cases and on the

4:47 bluetooth low energy front we meet

4:49 multiple use cases there as well we are

4:51 delivering user engagement with the

4:54 mobile sdk from mist integrating into

4:56 mobile apps to deliver indoor way

4:58 finding we are delivering virtual beacon

5:00 technology again a patented technology

5:02 from mist that enables indoor push

5:04 notifications something no other vendor

5:06 to date is capable of doing they still

5:08 rely on battery beacons and more

5:10 importantly leveraging the bluetooth

5:12 technology the same iot as a hub our

5:14 wi-fi ble access point we're able to

5:17 deliver asset visibility services that

5:18 are now showing up in terms of occupancy

5:21 analytics in terms of proxy tracing as

5:24 well as just store operations in retail

5:26 and today it's a flexible platform

5:28 highly scalable high resilient location

5:31 which can be enabled and leveraged for

5:33 multiple use cases so with those

5:35 location services powered by wi-fi and

5:38 bluetooth what does it mean for various

5:41 customers in various verticals what

5:42 outcomes can they achieve with location

5:44 services and this is where the big

5:46 business benefit comes in where it

5:49 impacts your top line as well as your

5:51 bottom line a lot of customers are

5:53 looking at digital transformation with

5:54 end-to-end visibility in the enterprise

5:56 vertical to attract talent they're

5:59 looking at digital transformation in

6:01 retail for better store operations as

6:03 well as in health care for better

6:05 patient experiences and that leads to

6:07 the next outcome around improving

6:09 experiences and therefore top-line

6:10 revenue because now with location

6:12 services powering up your mobile lab

6:14 that interacts with patients that

6:15 interacts with employees that interacts

6:17 with students whether it's education

6:19 enterprise healthcare or even in retail

6:22 with the recent phenomena of curbside

6:24 pickup knowing when a shopper came

6:26 outside your store being able to come in

6:28 and actually have their order ready for

6:29 them when they need it is huge in terms

6:31 of customer satisfaction and if you have

6:32 customer satisfaction you have customer

6:34 loyalty and with customer loyalty direct

6:37 impact to your top line revenue and last

6:40 but by no means the least the

6:42 operational workflows with the pandemic

6:44 that hit us all last year a lot of our

6:47 customers in fact juniper ourselves were

6:49 struggling initially with how do we even

6:51 operate in this new environment what is

6:53 the new norm even there location based

6:56 on standards based approach of wi-fi and

6:58 bluetooth came to the rescue because now

7:01 you can leverage the same location

7:02 services for

7:04 delivering visibility on occupancy on

7:07 congestion on proximity tracing when

7:10 somebody reports themselves as tested

7:11 code positive you know exactly where all

7:13 they have been and more importantly who

7:15 they have come in proximity of and then

7:17 in retail and healthcare and other

7:18 public venues the whole concept of

7:20 engagement analytics all of those

7:22 traffic flow analysis where people came

7:24 in where they go next where they spend

7:25 more time is answered by leveraging the

7:28 real-time location services feeding into

7:30 our analytics platform and making apis

7:32 available for integration into

7:34 third-party bi tools so it all begins

7:36 with the visibility based on location

7:39 leveraging standard based platform to

7:41 deliver top line impact as well as

7:43 bottom line

7:49 [Music]

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