0:00

Clough cause media presents from the

0:02

massive studios the valley North Carolina.

0:04

this is the Clouds cast with

0:06

our Intel and Brian gracefully bringing

0:08

you the best of cloud computing

0:10

from around the world. More

0:13

did you did it was was working girl girls

0:15

will come to live from. Our massive Geico

0:17

Studios your Raleigh, North Carolina. A.

0:19

Quick into this week as we hit

0:22

record on this Google Cloud is having

0:24

it's conference this week. And

0:26

we're seeing lots. Of good

0:28

announcements coming out of the show.

0:30

Look for a recap very soon

0:32

Today show. Is a bit

0:34

outside of our usual, but we hope

0:36

you'll find it really educational. We dig

0:38

deep into a specific industry. Media Streaming:

0:41

We cover everything from Cdn, partnering with

0:43

a to be us and even digging

0:45

it a bit into a I A,

0:47

Are and Vr as well. I certainly

0:50

learned a lot and I hope you

0:52

do as well and that is coming

0:54

up right now. And.

0:58

We're back and Erin how are you today

1:00

Me and I you been not too bad

1:02

not too bad habit yourself. I've been good

1:04

up and good. have been travel a bit

1:06

but gonna be back and glad to be.

1:08

You know we've got. We've got good good

1:10

sunshine these days. The the son says up

1:12

longer we're starting to feel little better on

1:14

the yeah from the pollen else things are

1:16

good but you know it is. It is

1:18

a time when when a lot of folks

1:20

are as good as the weather is outside.

1:23

Sometimes with all the stuff go on. I

1:25

would like March Madness and new movies coming

1:27

out in all sorts. Of. Stuff People are in

1:29

their homes. More They are streaming more

1:31

stuff on Tv, their streaming worst on

1:33

movies, their mobile your They're doing all

1:35

sorts of stuff and and we've never

1:37

really covered. kind of how all that

1:40

magic happens, right? Word were just so

1:42

used to. nowadays. you know you pull

1:44

up an app on your phone, you've

1:46

got an infinite library of of movies

1:48

and an interesting things to watch. Ah,

1:50

but yet there are companies. they're building

1:52

this and making it super simple for

1:54

us And we thought, you know, let's

1:57

let's expand beyond just. the basic cloud stuff

1:59

that we talk about lives dive into some of

2:01

these more unique applications that are so

2:03

widely used. And I think we're gonna

2:05

dive into that today. Yep, absolutely. And

2:07

so what we did is of course, let's

2:10

go find somebody who can talk about this. And

2:12

Brad not only can talk about it,

2:14

he went and founded a company around

2:16

it. So first of all, we have

2:18

Brad Winnet, president and co-founder at Track

2:21

It. How are you doing, Brad? I'm

2:23

doing great, Aaron. Brian, thanks a lot for

2:25

having me. I think we've got

2:27

a lot to discuss. Absolutely. So

2:30

Brad, first of all, let's kind of jump right

2:32

into all of this. Like Brian was kind of

2:35

saying, media

2:37

as a whole, not only is everyone streaming,

2:39

and it tends to be a little seasonal

2:41

at times, but it's kind of

2:43

also undergone some major changes as an

2:46

industry over the years, right? And then

2:48

we're gonna talk about that evolution a

2:50

little bit. But

2:53

most of us only see that front

2:55

end of watching video, like maybe it

2:57

was on the TV and we're all

2:59

cord cutters now, or we're all mobile

3:01

now. And so what made you kind

3:03

of way back in the day say, hey,

3:06

this is something I wanna jump into this

3:08

market and get into this technology specifically? Well,

3:11

you kind of hit on it. There's been really a sea

3:14

change in how content

3:16

is presented to end users that's

3:18

happened over the course of a

3:20

decade or so, or

3:22

really kind of since Netflix started, maybe

3:24

a little bit beforehand. And

3:28

part of it was built on sort

3:30

of the first linchpin of

3:34

being able to deliver content over

3:36

internet networks, right, over IP. And

3:40

that was when content delivery networks started

3:42

to come about because people found they

3:44

couldn't get decent video

3:46

otherwise. So early

3:49

on, the first piece was, okay, hey, we

3:51

have a way we can deliver stuff to

3:53

an end user over, My

3:55

old computer that I had sitting

3:57

there. Early.

4:00

On that side, too often. It's.

4:03

Amazing. You know? Blue. Your mind

4:05

but. What's. Happened out

4:07

since that is that's the rest

4:09

of the media supply chain that

4:11

feeds the machine is changed and

4:13

actually even on the back and.

4:16

Used. To be a i get netflix is

4:18

way but now I'm getting like. Live.

4:21

Sports on my T V that's being

4:23

streamed in a very similar fashion. You

4:26

don't know it is a T V

4:28

watcher, but it's totally transformed the professional

4:30

world. The broadcasters as well. it could

4:32

seduce to do so So lot of

4:34

changes and in a zoo in when

4:36

there was starting to happen it's an.

4:39

Old. School, Broadcasters studios, post production companies.

4:42

you know these are old on

4:44

prem guys. used to their computers

4:46

by their desk or their fancy

4:48

custom made video switchers or whatever

4:50

analog switchers. out of the transition.

4:52

this new world where I can

4:54

one do things digitally and now

4:56

the thing digitally in the cloud

4:58

and takes a different skillset and

5:00

that was need their A Nasa

5:02

we thought track. Now. I'm

5:04

in. I think for a lot of us

5:07

that the don't live in this world all

5:09

the time if we were to to sort

5:11

of think about ah some of the economics

5:13

around this. Obviously I'm sports is is huge

5:16

business cause it's live in their see others

5:18

and there's an element of of wine to

5:20

be part of it and participate and so

5:22

forth. And then you know you have all

5:25

of the kind of known streaming services. You

5:27

know, the Disney's know who lose the Netflix

5:29

and others were content tends to be king

5:31

right? that you know he who has the

5:34

most. To show us the

5:36

the most popular thing but what

5:38

are some of the other economics

5:40

between sort of live sports and

5:42

and owning the biggest content library

5:44

that. You. Know people might have to

5:47

think about whether they're deciding you know which service

5:49

should I work with or if we want to

5:51

build our own. Like, what are some of the

5:53

nuances we're going to get? Help us with a

5:55

little broader perspective on one of the economics around

5:57

the new streaming world. it's

6:00

really um it's

6:02

a maybe not

6:04

a small portion but just a portion of

6:07

the overall pie. You haven't touched on things

6:09

like switch or twitch

6:11

and tick tock. Yep. YouTube there

6:13

is you know just this whole

6:16

other range of of

6:18

content providers that are using

6:20

similar infrastructure to deliver the

6:22

same you know

6:24

technical sort of content you

6:26

know streaming video audio um

6:29

gaming where people are now even there's

6:31

a lot of live streaming of of

6:33

computer gaming out there that's really growing

6:35

like crazy. These are

6:37

all different areas that are contributing

6:39

to the overall the overall picture

6:42

and as far as making money and monetization there's

6:44

a lot of ways to do it and I

6:46

think we're really at the very beginning of it

6:50

um of people really understanding how to do it in the

6:52

best ways to do it and I think

6:54

because of that we're getting just a

6:56

plethora of new providers and services and

6:58

people being able to do different

7:01

parts of the puzzle or maybe sometimes as much

7:03

of the whole puzzle as you can for a

7:05

certain segment of users um I

7:07

think over time like anything else I

7:10

think there's going to be some sort of consolidation

7:12

you know already kind of starting to see it

7:14

in the major streamers right where you're probably you're

7:16

seeing Hulu and Disney Plus going to consolidate and

7:18

probably Paramount Plus and Peacock and you know who

7:21

all these guys are going to consolidate a little

7:23

bit and you'll probably see a weeding out of

7:26

the various other providers who are more

7:28

like SaaS providers where

7:30

um you know they're

7:32

they're providing streaming or video distribution

7:34

as a service uh you know

7:36

that goes all the way from

7:38

YouTube down to you know Vimeo

7:40

and Agora and all the rest

7:42

of the potential providers there um

7:44

there'll be a rationalization of

7:47

the space over time um and

7:49

how people make money out of it um

7:51

there's going to be a bunch of ways at

7:54

least for the foreseeable future um you

7:57

know the interesting thing now I'm sure you heard about

7:59

free ads TV,

8:01

fast channels coming

8:03

back. It turns

8:05

out that ads interspersed

8:08

in your media stream is a pretty good way to make money.

8:11

Yeah. So, you know,

8:13

there's some people like, you know, I'm sure Netflix

8:15

is profitable. It could be

8:18

very profitable with their, you know, all in

8:20

one sort of service model, but you're going

8:22

to see a real mixture over

8:24

time. Yeah. And Brad,

8:26

let's talk about those platforms for a second

8:28

too, because what, like you mentioned earlier, like,

8:31

hey, in the early days you had, like

8:33

I would say Twitch really led, you know,

8:35

led in the live area and Netflix I

8:37

think was, was the early king in streaming,

8:39

right? And, but then they,

8:43

I think one of the early advantages was it

8:45

was just a really good platform and a really

8:47

good experience. And you know, some

8:49

of the other ones, like I'll pick on HBO max,

8:51

because I was a long term. I

8:53

mean, HBO max versus Netflix back in the day, it was a

8:55

no brainer. I mean, HBO max

8:57

was horrible, right? But now

9:00

you don't see that anymore. Like everything's

9:02

kind of everywhere. Everything's on every device

9:04

and whether it's through like

9:06

CDNs or other technologies, like we've solved

9:08

a lot of the platform things, or

9:10

at least from a consumer side

9:12

we have, right? And

9:15

so tell everyone a little bit about

9:17

what it means to really

9:19

have a good platform, right? Like how should

9:21

people think about those media platforms and what

9:23

goes into it? And are we past the

9:26

days of build your own or are we

9:28

still building your own? What's your thoughts there?

9:31

No, most definitely not. I think

9:33

there's two general classes of,

9:36

of service architectures and, and

9:39

it basically comes down to build your own or

9:41

buy. And

9:44

I think for, you know, from the

9:46

pro-sumer up to the low

9:49

end, you know, professional provider,

9:53

going out and buying is probably, if

9:55

not a great place to start, at

9:58

least where you should go first. Because

10:01

there is quite a hurdle to get

10:03

over the point where I have enough

10:06

critical mass that

10:08

I can go in and do custom

10:10

things that will make me money or

10:13

expand my reach or

10:15

build my environment as a differentiator

10:17

versus my competition. So at the

10:19

higher end, it's

10:21

definitely build your own. And that

10:24

all comes down to what I can

10:26

do about recommendation engines, monetization engines behind

10:28

the covers that the end

10:30

user never sees any of this stuff. Scheduling

10:36

is heavy analytics about

10:39

when I should introduce something, how

10:41

long I should keep it for, what

10:43

do I pay my provider,

10:45

the content provider. So Netflix

10:49

has thousands of people just working

10:51

on the platform. You don't see

10:53

it every day. You're not seeing a

10:56

thousand new software features every day, but

10:58

trust me, they're under the covers. And

11:00

the same thing is true of all the major streamers.

11:03

Once you get to a certain critical mass, you're

11:05

going to want to build your own because you're

11:07

going to want to do things that frankly, you're

11:09

just not going to get out of the all-packaged

11:12

SaaS providers. And it's not

11:15

even just the front end. It's how you tie

11:17

it into the back end providers. For example, a

11:19

big business of ours are content providers

11:22

who are localizing their content to

11:24

send to different countries with different

11:26

standards and practices. I mean,

11:28

this country, I can have nudity and

11:30

swearing, but not violence. And that country

11:32

is just the opposite. So

11:35

the ability to take all that, package

11:37

it, consume it, which

11:40

are also video processes. Maybe I got

11:42

to do some editorial. I got to

11:44

do retranscode. In other words, building

11:47

it for different delivery platforms and then sending it

11:49

to the right place so I don't get a

11:51

fine somewhere. All those things

11:54

have to be built in and you're just not going

11:56

to get those out of the

11:58

generic SaaS platform. there's still

12:00

lots of room for custom builds. Yeah.

12:04

Are we seeing sort

12:07

of an analogy that jumps to mind? I don't know

12:09

if this works at all. I mean, at

12:12

some point, I would think that some

12:14

of the companies become so proficient

12:16

at streaming, like,

12:18

let's say your ESPN and you're like, look, cord

12:20

cutting is going to be, that's the future, at

12:22

least for a chunk of it. I've got to

12:25

get really good at this. But

12:27

then do you see them not only

12:30

delivering their own services, but then also,

12:33

because they're so good at it, they

12:35

offer kind of white label capabilities the

12:37

same way that like, you know, Visa

12:39

will do processing for MasterCard or things

12:41

along those lines? Or are you still seeing

12:43

people who are like, you

12:46

know, my use case is so unique, we think we're

12:48

going to get so big that I'm going to go

12:50

build this on my own? I don't

12:52

necessarily want to take advantage of some

12:55

prior art expertise or something. Or like, where

12:57

are we in terms of, you know, if

12:59

you wanted to get started today, and you

13:01

thought you had, you know, a business to

13:03

drive this, or you had a thing, you

13:05

know, where do you leverage the cloud providers?

13:07

Where do you leverage somebody doing white labeling

13:09

that already like, how does that sort of

13:12

mindset work? Yeah, that's an

13:14

interesting one. For example, you know, Major League

13:16

Baseball, maybe four or

13:18

five years ago, built a really robust streaming

13:21

platform. And they

13:23

did have third parties using

13:25

their stream platform. And then they got bought by

13:28

one of the major studios. I forgot who. All

13:30

right, BAM. Was it BAM studios?

13:32

Or BAM? Yeah, yeah, yeah, right. So, so

13:34

that's exactly kind of what you're describing, right?

13:36

Hey, we built this great platform to do

13:39

things. You know, other people can then go

13:41

use it. The problem is some of those

13:43

other providers then got the rug swept

13:46

out from underneath them when they got bought and

13:48

now, right in the lurch a little bit. So

13:51

you got to be a little careful. That

13:53

said, I think

13:55

the people that I mentioned earlier, we

13:58

have these sort of these streaming sass. services.

14:00

They're going to try and climb their

14:03

way up the food chain. There's no doubt, you know,

14:05

they'll add more functionality to the environment. But

14:09

it's a moving market. So if

14:12

you're in a mid market, I think that's

14:14

a great place to start to immediately get

14:16

your video out there, and at least start

14:18

the path to making some money doing it.

14:22

I think over time, if they grow, you

14:24

know, if you get to X million number

14:27

of subscribers, you're

14:29

going to find out there's things you can't do with

14:31

any of those. And that's where you

14:33

move to the to the custom bills.

14:35

Now, the good thing about custom bills,

14:38

though, not all that custom anymore to

14:40

get video just out there. So, you

14:42

know, you go to we're in, we're

14:44

an AWS partner, Amazon Web Services. Yep.

14:46

They have every Lego block you can

14:49

conceive of almost to try and

14:51

put these things together without having

14:53

to go in and, you know,

14:55

write code necessarily. And,

14:57

you know, our jobs, take these Lego blocks

14:59

and put them together for those clients. And

15:02

it's a really nice mid

15:05

mid level kind of way where you're not building

15:08

for complete scratch, you have all the Legos you're

15:10

putting together, which is a lot easier than writing,

15:12

you know, source code. So

15:15

that we see and that's

15:18

a growing business, you know, for AWS, it's

15:20

certainly a growing business, the media and entertainment

15:22

sector, and new things are coming in to

15:24

adding, adding a lot of

15:27

capabilities there, for example, you

15:29

mentioned ESPN and live streaming.

15:31

So live streaming is a

15:33

different process than video on

15:35

demand. You

15:37

know, the ultimate delivery is sort of

15:39

similar, but upfront, everything is different. And

15:42

there, there's very different requirements

15:44

from an ESPN versus a,

15:47

you know, a local news, you know,

15:49

one of the local news channels, for example,

15:52

that's broadcasting a small market

15:55

soccer team or something. Right.

15:57

So so That

16:00

part of it is distinct from DOD

16:02

from all except for the last mile,

16:05

I think. Yeah, that

16:07

makes sense. And Brad, let me ask you

16:09

this because I was going to ask you specifically about

16:11

being an AWS partner in the AWS services, but you

16:14

kind of talked about all those Lego blocks. And I

16:16

was wondering exactly that because the AWS services, I

16:19

mean, it's in the hundreds these days. I

16:21

mean, it almost gets overwhelming. Is that

16:24

where you as an AWS partner,

16:26

the consulting and

16:28

trusted advisor portion of being

16:30

an AWS partner comes into

16:33

play? Give everyone an

16:35

overview of the landscape of what it

16:37

means to be an AWS partner these

16:39

days because that has changed

16:41

a bit over the years. And we've talked to

16:43

AWS partners in the past. And so is

16:46

it mainly for you, like

16:48

professional services and consulting or

16:50

tell everyone a little bit

16:52

about that? Yeah,

16:55

so the AWS partner

16:57

environments, a vast landscape

16:59

of ISVs,

17:03

software developers, systems

17:06

integrators and everything in between.

17:09

So for us,

17:13

our approaches were very focused on media

17:16

workflows. We

17:18

want to be the partner

17:21

if you have a media workflow. And regardless

17:23

of whether that's a media workflow in a,

17:26

and you know, Disney or

17:29

Paramount or Warner Brothers or

17:31

a post-production house, or whether you're a

17:33

large enterprise that has a lot of

17:35

media in house and needs to build

17:37

media pipelines. And maybe that's, hey, I'm

17:39

doing a lot of marketing, internal

17:43

marketing stuff, or a lot of internal training

17:45

videos. How do I publish these? How

17:47

do I get them out? How do I manage

17:49

them? How do I massage them like transcode package?

17:53

Or make sure that my people

17:56

are actually watching them. So

17:59

that's what we want. And AWS, you

18:03

cannot be, I don't care how big you are, you can't

18:05

be an expert on everything. Maybe

18:07

if you're one of the huge, huge, huge

18:09

consultants where they got thousands of consultants, those

18:14

guys tend to cover a lot of

18:16

AWS vertical markets and horizontal

18:18

technology segments. But even so, it's hard

18:20

to be a real specialist. You can't

18:23

be a real specialist at everything. And

18:25

we've chosen to be a

18:27

specialist where there's media workflows involved. We

18:29

can really concentrate on the AWS services

18:32

and things that we find in those environments.

18:36

Yeah. What are, for

18:38

anybody who's interested in this space

18:40

or as you're talking about trying

18:42

to help optimize workflows, what

18:45

are some of the really critical technologies

18:47

that can

18:49

make a difference or really differentiate some of

18:51

the streaming services? Whether

18:54

it's leveraging

18:56

an AWS service or something in open source,

18:58

like what are the things that people are

19:00

looking at to kind of get a step

19:02

up on the competition? Yeah,

19:05

that's a good question. So let

19:08

me do it in reverse. So

19:11

there's the stuff that is less

19:13

differentiated. And at this

19:16

point, the CDN part of it is

19:18

a little less differentiated just because it's

19:20

much more of a mature market. So

19:23

you can get the job done with AWS

19:26

CloudFront or you can get the job done

19:28

with Akamai or one of the other ones

19:30

in a reasonable way. So

19:33

there it's more a question of, okay,

19:36

what's the best cost that I can negotiate?

19:39

And is there some feature here, there that

19:41

I want to tweak that maybe

19:43

is easier to do here versus there? Or

19:46

the third part is, okay, are there other pieces

19:48

in the puzzle that it makes sense for me

19:50

to use something like Amazon

19:52

CloudFront because now it can be

19:54

a part of my longer tail

19:56

pipeline, which

19:58

leads to the... parts that are harder

20:02

or still emerging in distributing

20:05

and managing and delivering media

20:09

content. So those pieces,

20:11

you really have to look, it's called

20:13

a media supply chain is the

20:15

industry term for it. And it begins at the

20:18

very beginning where you have a camera. And

20:21

now we do it the

20:23

old way where we, you know, we're recording on

20:25

site. So I have a disk drive on site.

20:27

I'll be using the states anymore. And

20:30

then what do I do with that disk drive? Or

20:32

am I implementing what's really sort of cutting edge in

20:34

the world today, which is camera to cloud. So

20:37

how do I capture all the interesting stuff that's

20:39

happening right at the camera. So

20:41

all the interesting metadata, you know, I'm

20:44

filming George Clooney, he's in

20:47

Italy at the moment, and

20:49

it's daylight. And he's on

20:51

a lake. And

20:54

here's old timecode associate with all that stuff. I

20:56

capture that. I have the raw content. I push

20:58

it up into the cloud. Now what I do

21:00

with it. Okay, so now

21:02

what do I do with it? So I have

21:04

all this metadata information that hopefully we've carried. This

21:06

is one of the really hard parts of

21:09

the creation media cycle. I have all this

21:11

metadata. How do I do something with it?

21:14

Okay, now I have to do some editing. You

21:16

might do some editing on this podcast. Who knows? You

21:18

might have to do some editing about it. How do

21:20

I go to the right spot, do the right transitions,

21:24

massage it the way it makes for a compelling

21:26

story. And once I do that, now

21:28

there's the other parts of the pipeline. How do

21:30

I get this ready for finishing? So

21:33

making sure the colors match and making sure

21:35

the audio is synced and all these other

21:38

little bits and pieces to it. And

21:40

then the next part is okay.

21:42

Now maybe I can send like

21:45

I mentioned before, I can send

21:47

this version to Netflix in

21:50

Austria. I send this

21:52

version to whatever other you know, to

21:54

Pluto that's going to Hungary or Turkey

21:57

or wherever it might be going to. Now

22:00

that I've done that, package it. Okay, I'm gonna

22:02

be delivering it on a 4K screen, on

22:05

an HD screen, I'm gonna be delivering it on an iPhone,

22:07

I'm gonna be delivering it on an iPad or an Android.

22:10

How do I create all these versions? Package

22:12

it, protect it for security reasons,

22:14

and finally send it off to the CDN.

22:17

So these other parts in the middle, these are

22:19

things that people have been trying to figure out by

22:21

themselves and the key to making

22:24

it cost effective is

22:27

to figure out, especially if it's in

22:29

the cloud, how

22:34

to build it without having to move a lot

22:36

of content around, make sure your artists and creatives

22:38

can get access to it where the stuff is.

22:41

That's kind of a long-winded answer, I don't know

22:44

if I answered the question actually, but if these

22:46

other parts of it that are the tougher ones

22:48

that the end user never sees, most don't know

22:50

about. Maybe

22:52

I'll kind of finish up with one last question

22:54

then, and this is more, I feel

22:57

like on our podcast, it's almost like the standard

22:59

last question now, and

23:01

that is how does artificial intelligence

23:03

change all of this, especially when you're

23:05

talking about metadata and lots and lots

23:07

of data and

23:09

lots of analysis, right? Is

23:12

that something that potentially enhances or

23:14

impacts everything we're talking about?

23:17

It does, it does, and it's not

23:20

like, you know, artificial

23:22

intelligence is kind of a big

23:24

term, so we've been

23:26

using what's more aptly described as

23:28

computer vision for a long

23:30

time now, and it's

23:32

especially useful for grabbing interesting

23:35

information out of your content. So,

23:37

you know, oh, there's somebody smoking,

23:40

there's nudity, there's a swear word,

23:43

you know, all these other things that you want to

23:46

know about and really helps for the localization

23:48

part of it. We actually have

23:50

a product on the marketplace that's kind of

23:53

packaged to be able to do that, quickly go

23:55

for your video and mark off

23:57

the things that maybe an editor should look at if you're gonna

23:59

send it to me. Singapore, where really, you know,

24:01

g is almost too much for a

24:03

lot of Singapore. And then there's a

24:05

lot of other tools, and you alluded

24:07

to it before, a lot

24:09

of open source things that are out there, not

24:13

only in the AI world, but for example,

24:15

we have an open source tool called

24:18

TrackFlex that lets you really quickly sort of

24:20

build your own environment. It's open source, or

24:22

you can help us to come in and

24:24

customize it for you. Now, layered on top

24:26

of those kind of both

24:30

for pay and open source packages, all

24:34

the new capabilities that Gen AI

24:36

brings, you know, versus computer vision,

24:40

it's a world of possibilities in

24:43

the media space. And that can start at

24:45

the very beginning, making imagine a writer,

24:48

so after you write a story,

24:50

the next thing you typically do is storyboard it out,

24:52

you know, storyboard is like a comic book, that lets

24:54

you kind of run through how

24:56

the content

24:59

is going to play. There's

25:01

Gen AI tools to take what

25:04

you wrote in the script and

25:06

build storyboards out for it.

25:08

So rather than have to, you know, draw the

25:10

stuff by hand, you

25:12

can start creating that in a much faster

25:14

fashion. And then that's just

25:17

the first step. Then the second step

25:19

is, okay, how do we take this

25:21

out, parse out the content we have

25:23

and provide it to the director, the

25:25

producers, the actors to be able then

25:27

to go in and act

25:30

on what we've written. Follow

25:33

on with the next part, which is really the

25:35

more sensitive piece to it is, you

25:38

know, artificial actors, special

25:41

effects created by AI, other areas

25:44

that are, you know, much

25:46

more sensitive in the media space, but we're

25:48

definitely going to see them in other areas

25:50

sooner, you already see in them and for

25:53

gaming, gaming, for example, you know,

25:56

roleplay RPGs and other things in

25:59

games. created by AI, there's

26:02

no union that's going to keep

26:05

that from happening. It already is. So

26:07

there's going to be a very large

26:09

effect throughout the chain with

26:12

AI. And then certainly on

26:14

the back end for things like monetization,

26:18

advertising, customization for

26:20

particular users to be able to

26:22

do that in a

26:25

way that's good enough that it

26:27

can make you money. Yeah.

26:30

Hey, I want to ask you one last thing now, and I just jump

26:33

to my mind. How much does some of the

26:36

new things around virtual reality, whether it's

26:38

what meta is doing with glasses and goggles,

26:41

what Apple is doing, how much will that

26:43

intersect with the streaming world in terms of,

26:45

is it going to

26:48

be similar types of back

26:51

end systems to make this work? Is there a whole

26:53

other set of problems that this

26:55

creates? So

26:58

there are some problems. And

27:00

the biggest problems come is just the

27:02

speed of light and interactivity. So latency

27:06

to your interactive

27:08

environment. It's already a problem

27:10

in games, right? So whoever's

27:12

got the fastest or the

27:14

lowest latency internet connection, and

27:17

the fastest computer monitor has an edge up

27:19

on the games in things

27:21

like AR and VR, maybe not so

27:24

much VR, but definitely an

27:26

AR, it's even a bigger consideration. You

27:29

know, not a huge

27:31

believer personally in VR

27:33

from an entertainment standpoint,

27:37

but AR and particularly from an

27:39

industrial standpoint, I think is going

27:41

to be a huge one. You

27:43

know, you're wearing glasses and you're

27:45

fixing an engine or you're performing

27:47

surgery in real time where you can

27:49

see the subject, you have an overlay, you're working

27:51

on it. So there, there's

27:54

a whole different set of

27:57

technologies that are going to become available.

27:59

that helps enable and enhance those. But

28:01

there's challenges, and some of

28:03

the biggest challenges are the speed of light and how

28:06

fast your AI, for example, is

28:08

gonna say, oh, no, don't cut there, you're gonna

28:11

kill the patient, versus

28:13

when he's actually doing it. So,

28:16

you know, it's gonna, these

28:18

things I think over time will

28:20

revolutionize things like medicine, drug

28:22

discovery, other things, headsets

28:25

in and of themselves, eh, you know.

28:28

You know, until the weight of

28:31

these glasses and feel that good, I'm never

28:33

gonna sit and watch a movie, you know, with

28:35

a big Apple headset. If

28:37

you've tried one on,

28:39

they're amazing, if you have them configured

28:41

and set up right. So,

28:44

you know, it needs to know the distance between your eyes

28:46

and how you focus and what's your, it's

28:48

a little bit of work and they're heavy. So

28:52

eventually, yes, I don't think we're there

28:54

yet. We're

28:58

a ways off. Well, good, well,

29:00

there is a lot of fascinating

29:02

stuff, you know, out there in the streaming space.

29:04

I think, you know, it's like you said, there

29:07

are so many niches and

29:09

nuances and different market requirements and so

29:12

forth. It's important, you know, if you're

29:14

getting into this space, given, you know,

29:16

kind of, A, how expensive content can

29:19

be, how expensive video processing can be

29:21

to have the right people to work with. If

29:24

folks wanna engage with your team around this,

29:26

if they, you know, wanna

29:28

learn what's possible, they wanna, you know, improve

29:30

their environment, have been using something, they wanna customize

29:32

it. What's the best way to engage with your

29:34

team or what's the typical way that people would

29:36

engage with your team? So,

29:39

obviously we love those bluebirds

29:42

that fly in without us knowing about it. And you

29:44

can always reach us at info at track at that

29:46

IO. That'll

29:48

get a hold of my partner and I,

29:51

as well as the people in

29:53

our marketing group. And

29:55

we're always happy to have, you know,

29:58

that first conversation, no strings. is attached

30:01

and we'll do a little bit of discovery and

30:03

give you some suggestions and if we can help,

30:05

great. If not, that's fine too. But

30:09

that said, Amazon, AWS brings

30:11

a lot of work our way where they

30:14

know somebody needs some help or an accelerant

30:16

to their business to try and get things

30:18

going faster. We have

30:20

access to all of the capabilities

30:22

of AWS in terms of helping make some

30:25

of those things happen. And there's things like

30:27

real dollars and money attached to onboarding new

30:30

workflows in AWS. So those are

30:32

available as well. And we can help walk

30:35

our potential clients through those options with

30:37

them. And we're pretty

30:40

low, we're not high pressure guys, happy

30:46

to have a conversation and something comes out

30:48

of it in terms of engagement, that's great.

30:50

If not, I hope your business does great

30:52

anyway. Yeah, fantastic, fantastic. Well, Aaron,

30:55

why don't we wrap it up there?

30:57

Thank you very much for the time

30:59

today. We really, really appreciate it. Aaron,

31:02

why don't you wrap it up, take us home. Yeah,

31:04

absolutely. So Brad, thank you very much for

31:06

your time and everyone out there, thank you

31:08

very much for listening. Thank you for taking the time.

31:10

If you enjoy the show, please tell a friend, please

31:12

leave us a review. And I'm gonna

31:14

wrap up for this week and we will talk

31:16

to everyone next week. The.

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