AI-Powered Photo Curation, with Troy DeBraal, MediaViz

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Ever found yourself frantically scrolling through thousands of photos trying to find that one perfect shot you know exists somewhere? This frustration sparked the creation of MediaViz AI when founder Troy DeBraal's business partner slammed his phone down in a restaurant after failing to locate a crucial photo of his son. "Why can't you build something that can keep track of all my good photos and get rid of all this junk?" he demanded – and a revolutionary AI photo curation platform was born.

DeBraal shares how his background in document management and digital strategy uniquely prepared him to tackle the universal problem of photo overload. After spending years observing how people interact with technology across various industries, he recognized that helping people organize and find meaning in their expanding photo collections represented both a massive challenge and opportunity. MediaViz evolved into a sophisticated B2B platform that empowers businesses with Google-like capabilities through a simple API integration.

The conversation explores how MediaViz's "agentic AI" approach differs from traditional systems by acting intelligently on users' behalf rather than merely responding to commands. DeBraal explains how their technology creates personalized AI models that learn individual preferences in composition, subject matter, and aesthetics to provide truly customized curation. This approach has profound implications for several industries, including photo printing, where cart abandonment plagues photobook creation because consumers simply can't find

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Hosted and produced by Gary Pageau
Edited by Olivia Pageau
Announcer:
Here's your host, Gary Pageau.
The Dead Pixels Society podcastis brought to you by Mediaclip,
Advertek Printing, andIndependent Photo Imagers.

Gary Pageau (00:18):
Hello again and welcome to the Dead Pixels
Society podcast.
I'm your host, Gary Pageau, andtoday we're joined by Troy
DeBraal, who's the CEO andfounder of MediaViz.
Ai Troy's coming to us from SanDiego, California.
Hi Troy, how are you today?

Troy DeBraal (00:33):
Great.
How are you doing, Gary?

Gary Pageau (00:34):
I'm doing great.
Hey, listen, you guys havethose two letters in your name

that everyone's talking about: AI. (00:39):
undefined
But before we get to that, howdid you get started in this
business?

Troy DeBraal (00:47):
You know, I got started in this business in kind
of a strange way, but maybe thebest way for all businesses to
get started, and that was with areal problem.
I was sitting with my nowbusiness partner at a restaurant
and he was looking through hisphone for a photo of his son in
some type of football pose thathis son knew he had and his
coach knew he had, and his wifeknew he had, and just could not

(01:09):
find this photo.
And he just slammed his phonedown on the table and he's like
hey, you helped build giantsoftware systems.
Why can't you build somethingthat can keep track of all my
good photos and get rid of allthis junk?
So I don't have to do this.
And I just thought for a momentwhy hasn't anybody solved that
problem?
Because I have that problem, hehas this problem.

(01:31):
So we started asking around andjust everybody seemed to have
the problem, from the individualconsumers all the way up to the
businesses.
And so we said let's go solvethis problem, like let's go not
only do something for ourselvesfrom a business-wise, but really
something for the world.
And really at that time thiswas 2017, 2018.
You know, ai was a thingcertainly deployed in a lot of

(01:54):
places.
Healthcare, you know the mostbut, we saw an opportunity to
turn that technology into asolution for this problem and so
dove in headlong into AI.

Gary Pageau (02:10):
So what was your background prior to starting the
business, which at that timewas not called MediaViz, it was
called something else whichwe'll talk about.
But what was your backgroundbefore that?

Troy DeBraal (02:16):
Sure.
So I had just come off of fiveyears at KPMG.
I was working previous to thatat a rich web agency called
Synergy and they were acquiredby KPMG part of their management
functions and advisory firm andreally to head their experience
division of how to go out andbuild these great experiences

(02:37):
that they were experts atbuilding the back end but, they
weren't experts at building theexperience.
So that's what our agency did,and my role there was a digital
strategist and, in kind of anodd way, for years my job was to
follow around both consumersand employees and just watch
them and do like anthropologicalstudies of them and figure out

(03:00):
in this context if they're inthe bank or if they're on the
field doing an installation orthey're getting their taxes done
, whatever it is what are theirproblems and how could software
solve those problems and how dowe design an experience that
would motivate those people toactually engage with that
software?
I laid out the strategy forcompanies of if you wanted to

(03:20):
build your next generation ofsoftware, this is what it should
do and this is how it shouldwork, and so this was kind of a
natural problem for me to say Iknow how to solve this problem.
Like let's dig into it, youknow.

Gary Pageau (03:31):
Was it in imaging specifically you had experience
in, or was it more of a holisticview, broad range?

Troy DeBraal (03:37):
Yeah, a really broad range.
Yeah, I was working inhealthcare and media and taxes
and you know, internal to thecompany and golf and all over
the place, because advisorytouches a lot of those different
enterprises across the board.
They were all looking to dobetter software everybody, of
course but my real historystarted in document management.

(04:00):
When I first came out ofcollege, I got my first job as a
web designer for a blueprintautomation company and their
whole thing was to take all thismasses into blueprints so that
when you took a paper blueprintand digitized it to a TIFF and

(04:31):
brought it into another system,you can have automatic scale and
start making actualmeasurements on it.
And so this went on for a fewyears and I learned the most
valuable lesson there that we'veapplied in our current business
, which is getting the documentswhere you want them to be is
actually the toughest part ofthe problem.
You can solve all types ofproblems for document management

(04:52):
, but you got to get the stuffthere first, and so I count
myself real lucky that I startedwith blueprints and trying to
move those around, and now I'vesettled on photos and videos.

Gary Pageau (05:03):
Well, and that's one of the things is, you know,
you kind of hit on a good pointwith.
You know, a lot of the stuffthat's being digitized now is,
you know, older data that needsto be put in context right Now,
in the case of architecturalblueprints, you've got
measurements and scales andelevations and all of those
things, and with personal imagesor corporate images or

(05:24):
commercial images, you've gotother context.
Was that something that youwere looking at as you were kind
of scaling?
This is like what informationcan we extract out of an image?

Troy DeBraal (05:35):
Absolutely.
You know that was really how weapproached it from the
beginning was I had a history indocument management and image
extraction and essentiallyknowing that that information
that gave context to the actualvisual information had to carry
with whatever that image formatwas, you couldn't have it in a
separate database.
You had to be able to encodethat so that it went along with

(05:58):
it.
So the data that was created,the analytics that you produced,
were equally valuable in themoment and one, two, three years
down the road, and that's ledto a lot of how we think about
photos and producing not onlyanalytics and curation and
selection for them, but let'sembed that information in the
image so that when it goes on toits next destination, the

(06:19):
benefit of what we've done stayswith it.

Gary Pageau (06:21):
So this is in 2017, 2018.
Now the company was namedsomething completely different.
How have you adjusted over thatperiod?
Because, like you said, backthen people were kind of
fiddling with AI.
There were some AI people outthere, but it wasn't obviously
what it is now in terms of time,attention and investment.
So what was it like then andhow have you grown and pivoted?

Troy DeBraal (07:07):
You know we started with can we actually do
this?
Because as soon as we got intoit again, back to context, then
we could build all the power wewanted to.
On the end of that, at thebeginning, when we would go and
pitch people and say, ai isgoing to do whatever you want to

(07:27):
put in that gap, and they wouldbe like, well, I don't know if
we're quite ready for it, youknow.
And so we knew that the futurewas going to provide even more
opportunity for the solution wewere building.
So we were patient and saidthat's fine, we're going to go
build better and more and we'llbe back, you know.
And then the AI revolutionhappened and we saw a huge shift
and I tell this story all thetime that within six months of

(07:49):
ChatGPT launching, instead of usknocking on doors and saying,
what can our AI do for you,people were coming to us and
being like what can your AI dofor us?
And so that was the change, andacceptance has been a huge part
of that.

Gary Pageau (08:02):
Do you think that ChatGPT, was kind of the point
of the sphere for all this stuff?
Because I agree, it's sort oflike it came out of nowhere, but
you know, people have beendealing with AI and machine
learning and everything andimaging for a long time.
What made it so different?
You think that it raised theawareness of all this to
everybody?

Troy DeBraal (08:20):
I think it was the first accessible system where
every single person could go andinterface with it and get
something akin to what theyexpected out.
And it was amazing enough inits generative qualities or its
efficiency or whatever it waswhere it made common ground
possible with the populace atlarge, which I think is

(08:41):
essential for any movement, anyrevolutionary technology.
You have to connect to thatcommon ground of why is it
important to me?
And everybody could say prettyeasily I see why it's important
to me and I think it was a hugepivot.
Obviously it's been great forus.

Gary Pageau (08:58):
I mean, obviously you know a lot of the big
players in the photo space, thetraditional photo space, your
Amazon Photos, your GooglePhotos, even Shutterfly to some
extent, are doing some of thisorganization and things like
this.
So is that a concern of yoursor is it validating the concept?

Troy DeBraal (09:18):
To us, it was always not only validating the
concept but allowing us to seeright where the path to business
success was, because, althougha subset of the features and
data that we produced iscertainly possible in Google
Photos and Apple and Amazon,they're not selling that to the
individual photo companies.
They're not going out andgiving that technology away as

(09:40):
they do to consumers insidethose platforms.
We saw that as a directopportunity.
If we can make something betterthan them and sell it to the
people and really walk in thedoor and say, well, we can make
you so that you have Google-likecapabilities tomorrow, that
sounds like a pretty good salespitch.

Gary Pageau (09:56):
Right.
So let's talk, then,specifically about the MediaViz
AI platform, what it is you'reoffering, because I think that's
where we kind of need to get it, because you're not really
something that consumers aregoing to download and manage
their images with.
You're more of a tool forbusinesses who are in the
business of servingphotographers, consumers.

(10:17):
And also video I mean there's alot of you do video as well.

Troy DeBraal (10:20):
Yeah, absolutely, let's talk about that.
So yeah, Mediaviz is an AIplatform that we have really
envisioned and designed to be aB2B platform where we want to
ensure that our data processing,our image curation, our image
labeling and annotation makesother products and other
services not only better butelevates them to a new level of

(10:41):
human insights.
So the platform is designed sothat any company that deals with
large amounts of multimedia, orespecially is in the photo
space and now just getting intothe video space, has a place
where they can go and plug intoa very simple API and ask
complex questions.
Out of this large volume ofphotos, which ones are the most

(11:04):
meaningful to my individual orto this collection?
What's in this collection?
Not just everything, but what'simportant in this collection?
How does this collectionreflect the person that
collected it or made thesephotos, plus all the data that
goes into answering thosecomplex questions?
you know the individual objectdetection and colors and

(11:28):
aesthetics, and all that becauseall of those higher level
decisions require that data.
So MediaVis is a platform whereyou can plug into a simple API
to ask simple questions what'sin these photos and what are the
colors?
So really complex questionslike, in this hundred thousand
photos, which ones are the mostmeaningful to the author of
these photos?

Gary Pageau (11:48):
Where does it sit?
Is this something?
Let's say I've got an archive.
Let's say I'm a stockphotography company and I need
some AI to drive my my commercepiece so people can find the
images I want to sell.
For example, is it on myservers or is it on your servers
?
I mean, can it be both?
I know you've just launched theAPI, but was that the original

(12:12):
concept?

Troy DeBraal (12:14):
Yeah, and you know we've moved between a couple of
different phases and right nowI would say that it's most cost
efficient to just plug into ourAPI.
So, and you API?
I try and tell everybody thiswe want the images to be one way
.
We take just a little thumbnailof the image.
We never touch the originalimages and we produce all of our
data and insights off of thatthumbnail.

(12:35):
So we want companies to send usdata, us process it, send them
back the data and then get ridof their images.
So in that case, we want it tobe a service, so that you don't
have to build all thisinfrastructure to do that
yourself.
But it is possible to do aswell.
You know it's a cloud system.
We could certainly put that on.
You know any large enoughenterprises systems?

Gary Pageau (12:56):
Right, well, I'd imagine just for security
purposes, right?
I mean, one of the marketsyou're talking about addressing
is like school and schoolportraits, right, and there's
all kinds of security concernsthere with especially going
across state lines or maybe evengoing across country lines if
you go into Canada or placeslike that.
So I can certainly see whereyou know privacy issues may

(13:16):
require that.

Troy DeBraal (13:18):
And they drive the business as well.
To be frank, like operatingwithin all the different state
laws and now country andinternational laws, and making
sure that not only from asecurity and privacy perspective
, but what's the intent on theother side of what they really
feel about privacy?
You know, you have to considerthat as well, because you know

(13:39):
what do you want to offer people?
Is it going to suit theirparticular audience?

Gary Pageau (13:43):
And it drives everything that we do well and
also you've got you know rightsusages as well.
I imagine that's built in toolike what can you do with this
image?
You know who's allowed to useit, in what context, at what
size.
I imagine there's a lot of thatbuilt right in oh, absolutely,
and you know it's.

Troy DeBraal (14:00):
it really was a recent and great learning moment
for me, understanding now inthe complex world of media
rights and management and howthat gets split between images
and sometimes four or fiveentities own different parts of
an image.

Gary Pageau (14:16):
Right.

Troy DeBraal (14:17):
So your job also becomes bringing people together
so that they can get the valueof their collective rights.

Gary Pageau (14:23):
You know, yeah or you might even have a case where
the rights may change, right?
Let's say, for example, aphotographer signs away their
rights for a couple years, for,you know, let's say they're
taking a picture of an event,and then the rights revert back
to them over time, right?
So I mean, rights can be fluid.
They're not, you know, notalways, but they can be very

(14:44):
fluid.

Troy DeBraal (14:45):
Absolutely and having the right to deal with
people's photos in the firstplace.
Back to the school photographyand that whole question.
I mean taking care of thosephotos and understanding that
you want to maintain possessionof that data for as little time
as possible, you know, becausethere are huge implications of
that market and providing thosetypes of services.
So you got to think about itdifferently in every single

(15:08):
market that you enter.

Gary Pageau (15:10):
Well, you know, it's interesting because, like
some states have even made it,you know, forbidden, where they
can only hold images for acouple years even, which can be
problematic actually for a lotof businesses If you want to do
some archival offerings or some,you know, a composite of a
child over the course of theirlifetime, right, and it's like
you can now allow to hold images.
So we'll see how that allshakes out, right?

Troy DeBraal (15:32):
Absolutely, and there's good reasons on both
sides of every argument, right,exactly.

Gary Pageau (15:38):
So I want to talk a little bit about, kind of like
the terminology, because youknow, AI is one thing and now
there's this other term that'sbeing bandied about called
agentic AI, which is what youguys do.
What is that?

Troy DeBraal (15:54):
Explain it to me as if I'm five think of agentic
AI as an intelligent, automatedsystem that can act and think
somewhat on behalf of the personthat it serves, and I think
that kind of breaks it downwhere you know you can ask a lot
from a lot of different AIsystems today and they will

(16:16):
produce a result for you.
But are they acting on yourbehalf or are they doing a
service for you?
And you know once you crossthat lane to they're actually
acting on your behalf andsometimes doing things without
your knowledge and approval.
You know they're going ahead ofyou, making decisions for you,
inferring things that theybelieve are true.
I think you have to have thattype of trust to really believe

(16:39):
in agentic AI and you know wesee a future where all of these
agentic systems which will startto take over a lot of the basic
work and communication, I thinkin a lot of different
enterprises.
Some of that's going to comedown to video and image
processing, and we feel there'sa good place for us as the
backbone to that, like we don'twant to be the agent, but we

(17:01):
want to be the system thatserves the agent in those
moments.

Gary Pageau (17:05):
So what would be an example of how an agentic AI
system would work?
You said it acts on your behalf, so let's say, for example,
would it, let's say you type aquery in a stock photo space and
it would say, I'm looking for,you know, a jockey in a red
thing on a black horse orwhatever, and it may search, but

(17:26):
then would it go create theimage using a generative AI
model, or what is that?

Troy DeBraal (17:32):
I suppose it could if that was the purpose of the
agent.
But in that situation I wouldthink of an agent more like.
You had one stock system andyou were looking for a
particular set of keywords tofind just the right image.
And you said agents, go throughthis very large archive and
find this right, instead of justinitiating a search for you if

(17:52):
they didn't come back with theperfect image, because they
would review them before you sawthem as well, right.
This agentic system wouldprobably say none of these are
good enough, I need to go to adifferent stock photography
house and look there.
So it's not only reviewing theresults for you so that it's
making a pre-choice, but it mayeven be making a secondary

(18:12):
choice to solve your problem foryou.

Gary Pageau (18:14):
Okay, that's kind of interesting.
So it may actually beindependent of the source of the
images.

Troy DeBraal (18:22):
Absolutely, and I certainly see agentic AI
evolving very quickly to thatpoint where where's the greatest
number of resources today tosolve people's problems On the
internet, right?
So you may direct it at thebeginning but then ask it to do
that further direction if itdoesn't succeed all on itself or
all by itself.

Gary Pageau (18:40):
So could it do you see it in doing something?
Let's say, let's stick with thestock photography example.
Let's say, for example, you putsomething in and I want to have
a jockey and a red top and itdoesn't find it, will it, like,
go out and find another stockand maybe even negotiate the
rights?

Troy DeBraal (18:55):
If I had, if I was building an agent like that,
that's exactly what I would doEnable it with commerce, it with
negotiation, and make sure thatit could go far and wide to
find what I was looking for.
And if it didn't say I made youa generative piece, is this
what you were looking for?
Because maybe I can go lookwith visual search now instead
of text search.

Gary Pageau (19:15):
Right, that's pretty cool.
So I mean now, that's not whatMediaViz AI does now, but it's
in the beginnings of that, right.

Troy DeBraal (19:24):
Our dream for the purest form of agentic AI for
MediaViz and our AI systems isto really act for you, as you're
taking photographs mostly onyour phone, I think where that
comes into play where our themethat we talk about a lot is
let's let people create and letus curate.
So if we had our own agent, wewould probably have our AI

(19:47):
living on your phone andencourage you to just go and
take photos and we would do someof the decision making of do I
actually show this to the authoror do I just throw it away?
Is it too bad even for them tosee?
And you know, if they're takinglots of photographs, then what
are the best 10% of thesephotographs that I can present
and say here's what I think youshould keep.

Gary Pageau (20:07):
What about, like, even going to the level of hey,
I know this photographer, howthey edit, how they shoot, and
I'm going to pre-apply someactions to it?

Troy DeBraal (20:19):
Absolutely.
You know, I think that that'sthe natural extension and we
talk a lot about those differentphases of post-photography
production right, so you knowwhether you're getting into
editing before you're actuallydoing some of the curating
always seems odd.
Right, you want to?
You know, take your full setand cull it down to just the
images you want to edit.
And so we see that processbeing a natural extension of

(20:41):
what we're doing.
And you know, our AI is, I think, unique in the terms of it not
only specializes to a person,but we do a one-on-one AI.
So if you put your photos in,there's an AI system that
springs to life and learns fromyour collection and really takes
in the decisions you've madeyour composition decisions, your
aesthetic decisions, the colorsyou use a lot, the subject

(21:04):
matter that you shoot.
So we can learn about youbefore it makes those decisions.
And that, to me, is the nextextension of that.
Well, if I can learn about thethings you do while creating, I
can also learn about what you doafter to make them perfect.

Gary Pageau (21:18):
You know, it's kind of interesting that raises kind
of interesting of that of like,who is the photographer, right,
I mean.
But if you think about it, youknow, with iPhones now and
Android, same thing, but withsmartphones now there's so much
computational photography goingin there to improve images that
most people aren't even awarethat the pictures they shot

(21:38):
probably wasn't as good as itcame out, because Apple and
Google put all the goodness inthere to, you know, optimize it.

Troy DeBraal (21:47):
We see a huge break around 2018, 2019, where
photos just completely shifted.
And you know, if we look at ourhistorical collections that we
take in, you can kind of seewhere, because we have a filter
for blur and a model for blur,there's a point where it's
almost not needed anymorebecause people aren't taking
blurry photos anymore unlessit's on purpose.

Gary Pageau (22:09):
Right, yeah, yeah, or even like flash.
I mean flash photography ismore or less disappeared now in
a lot of ways.
I mean, people have them on thephones, but I think people use
the light on the phone more fora flashlight than for a flash
photography.

Troy DeBraal (22:24):
Absolutely.

Gary Pageau (22:25):
It's better at that identified certain verticals
for the company to go aftersports and entertainment,
digital asset management systems, photo labs and printers,
school portraits and stockphotography.
Why did you identify thosemarkets in particular?

(22:47):
What was kind of your thoughtprocess on that?

Troy DeBraal (22:50):
We thought that those markets, in different ways
and in different flavors, hadthe best qualities for us in
terms of a mass amount ofmultimedia being produced that
humans were either hand coding,annotating, curating, processing
, where we could offer them notonly efficiencies but better
products and services byinserting us, like in the

(23:13):
beginning of their workflow.

Gary Pageau (23:15):
Okay, that's kind of interesting.
So you need to be kind of moreon the front end, because I
think most people think of AI asbeing sort of as a backend,
curation or cataloging typemodel, but you're thinking it
needs to be more on the frontend.

Troy DeBraal (23:31):
And the system is designed to do both.
The platform is, but we thinkthat the biggest bang and the
biggest value is at thebeginning, because, again, we
want to encourage photographersin the future go out and create
more, because you don't have tolook through 10,000 photos
versus 4,000.
We'll do that for you and thebest place to do that is right

(23:53):
at the beginning of the processand almost all those workflows,
and the best place to do that isright at the beginning of the
process and almost all thoseworkflows.

Gary Pageau (23:58):
So do you see this being built into, like maybe not
just smartphones, but also likestandalone cameras like your
Canons, your Sonys, your Nikons?

Troy DeBraal (24:04):
Absolutely.
I think when you get to thepoint where you can have the
type of compute resources on amuch smaller form factor, you
will see all that move into anycapture device that you can have
.

Gary Pageau (24:14):
I mean, I've been mentioning like, even like
security cameras, ring cameras,all things like that, where you
know I need to find thisspecific incident that happened
in a short amount of time.

Troy DeBraal (24:24):
Absolutely.
I mean a lot of those things.
You know you have to store thatvideo either right near that
camera or actually in the camera, so why not do that processing
in that place too?

Gary Pageau (24:33):
That's kind of amazing when you think about it.
So what about?
You know a lot of my audienceare in the printing side of the
business.
Why do you think something likea?

Troy DeBraal (24:46):
media viz AI platform will actually help in
the printing side of thebusiness.
Sure, you know and two reasonskind of one back to our original
thesis that people had too manyphotos on their phone that they
either couldn't or they werenot going to manage, like one of
the two was true.
So we kind of looked at themarket and said, well, we see a
bunch of different opportunitiesfor automation and curation and

(25:07):
understanding to be createdaround their photos, but really
kind of centering on one, we canhelp people clean out their
photos and when they do, theyhave to review their collection.
Right, Get all their memes out,get all their junk out, do
everything to do that makes youlook at the content you have and
often motivates people to say,hey, I do want to get prints of
X, y, z.

(25:27):
So, the most basic, just helppeople understand what they have
and see the value in their owncollection.
But then, secondarily, you knowso many carts just get
abandoned for photo books andphoto products as people get
halfway through and just quit.
So we thought we could condensethose workflows and leapfrog
people across those customerjourneys and close more of those

(25:49):
deals online.
That was the most simplepremise.

Gary Pageau (25:53):
Yeah, no, it absolutely makes sense.
I mean, I've been looking atthe photo book abandonment thing
for probably 15 years and it'snot going down by any real
appreciable amount.
People start photo books andnever finish them and usually
the number one reason is backfrom a prior life.
Doing consumer research on thisis consumers say they don't

(26:15):
have the right picture.
They don't have the picturethey want right.
So do you think MediaViz couldhelp with that?

Troy DeBraal (26:21):
Yeah, and we're actually exploring a lot of that
right now, of how do we moveinto the edge so that we can do
that for our customers andconsumers and customers of our
customers, so that they can geta more holistic view of what
they have before they enter intothese print processes, so they
are more likely to finish them.

Gary Pageau (26:40):
Yeah, because that is probably the number one big
issue with photo books inparticular is that I want to
touch a little bit about thesports and entertainment piece.
Right, Because can you describehow it seems to me, like you
know, if you go to a sportingevent or whatever, truly like
they're trying to create allthese experiences to monetize

(27:01):
the event?
Is that where your systems cantie into that?

Troy DeBraal (27:06):
Yeah, absolutely.
You know there's a couple ofthings that we're actually
talking about right now thatkind of fit nicely into that
category right now, that fitnicely into that category.
I think it comes back to whatwe talk about a lot internally,
which is everything in the worldis involved in real estate,
Even photos.
When you are trying to getpeople to purchase a photo, it's
to put in real estate in theirhouse.

(27:27):
You want to convince them thatyour memory or your memorabilia
is important enough to be intheir real estate With the
sports teams and entertainment.
It starts with creating thosemoments that you can then
convince somebody is valuableenough to be in their real
estate, and that starts withexploiting their own real estate
.
So we're kind of fitting intothat puzzle of well, again, why

(27:49):
don't we help you set up, or inyour natural photo areas where
you're beckoning people in tohave little experiences props,
green screens, whatever it betake as many photos as you want.
Encourage your fans to take asmany photos as they want, and
then we will curate those.
We will alter those photos ifnecessary, so that they can get

(28:10):
a photo package on their way outthe door, offered to them
post-game, but a way to not onlymemorialize their experience
there, but to allow them toexpress themselves.
At the same time, we thoughtthat was like the perfect
marriage you could expressyourself, had a better time and
get a record of it.

Gary Pageau (28:26):
It just amazed me how sports and entertainment
venues went from we forbid youfrom bringing any cameras in
here to we want you to use yourcamera and just use it, use it,
use it at these entertainmentvenues.
It's really been a complete 180on that.

Troy DeBraal (28:41):
Some of the things that we talk about especially
with that industry is everybodywants the great content from
their fans and they don't wantto deal with all the stuff that
gets sent in that nobody wantsand there's a big spectrum there
.
But we think we can help peopleout at that point too.
Like ask your fans for data,we'll go through it, curate it
and you only get to see the goodstuff.

Gary Pageau (29:02):
And you even, I'm sure you'll look for things that
are maybe not appropriate forevery viewing audience and maybe
even see again, maybe even findout what the rights are right
For the usage for that.
Exactly, absolutely you've gota webinar coming up that
addresses some of these topics.
Can you talk a little bit aboutthat?

Troy DeBraal (29:20):
yeah, the webinar is june 5th at 1 pm eastern, and
in that webinar we're going tobe covering a broad range of
topics a lot about our api andhow easy it is to integrate, but
also the different use casesthat the ai can be applied to,
and what are the outputs of thesystem in terms of data and
analytics that you get when youput data into it.

Gary Pageau (29:40):
Well, that sounds really cool.
Make sure that we let everyoneknow about that and they make
sure they sign up.
And if they're interested inMediaVis in general, where would
they go for more information?

Troy DeBraal (29:50):
The best place to check out us and upcoming events
is MediaVisai.

Gary Pageau (29:56):
Awesome, well, great, troy, I know I think you
and I have been chatting now fora couple of years now.
It's great to have you on thepodcast and look forward to
hearing more about what's comingup with MediaViz.
So best wishes and talk to yousoon.

Troy DeBraal (30:08):
Thanks so much, Gary.
Talk soon.

Erin Manning (30:11):
Thank you for listening to the Dead Pixel
Society podcast.
Read more great stories andsign up for the newsletter at
wwwthedeadpixelssocietycom.