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Authentic, Authoritative, Unapologetic ServiceNow commentary by Cory "CJ" Wesley and Robert "The Duke" Fedoruk
Duke: All right, Corey, what
are we talking about today?
, CJ: today we got a very special guest on.
We've got Mark Scott from service now.
And today we're going to
talk about now learning.
We're going to talk about AI
and we're going to talk about.
I mean, whatever else pops up.
Duke: Have we had anybody
on the show twice?
Is Mark the first?
CJ: Huh?
That's a good question.
I think he might be the first Mark.
You might be the first repeat gas.
How
Mark: no way, no, come
on, that's not true,
CJ: I think it might be
Mark: that's not true, that can't be
right, well that's an honor, that's
crazy, that makes me feel really good,
Duke: Well, you do bring like twice
as much as the average person to the
ServiceNow community, so why not, right?
Mark: come on.
Ridiculous.
Like, I mean, maybe twice
as much, , crazy energy.
I don't know.
CJ: crazy.
Energy is good.
Yeah.
We like crazy
Mark: guess.
I don't know.
I don't sleep.
So maybe it's I exude that much, Intensity
that I have to be on twice as many
times to get the full story, I have to
be on twice as many times, but yeah.
, my name is Mark Scott.
I'm the some senior
something staff architect.
I can never remember what my title is.
Titles are irrelevant.
I'm an architect of some sorts.
I help build buildings
over at now learning.
, and, uh, you know, I, keep the
learning happening over there, , which
is an incredibly fulfilling job.
I love what I do.
And when they brought me on, , it
was a dream and it still is
every day , keeping you guys.
trained up, ready to
go for the next thing.
It's, it's a lot of fun.
And every, every time this year, this
time of year rolls around, it's a
reminder of how much fun I'm having
because, we're working on all the
stuff that is going into knowledge.
, which is, it's always a challenge
this time of year to say it's fun
because it's always deadlines, right?
It's always deadlines.
but in June, I'll tell
you if it's fun or not.
CJ: Let's double click
a little bit on that.
Right?
Like, um, cause it, yeah, it sounds
like, there's a lot of prep that
goes into the now learning side
in preparation for knowledge.
Let's talk a little bit about that.
Mark: Yeah.
that usually starts, I
months ahead of time.
It's funny.
You talk about your projects when we
talk about go lives and things like that.
It's funny to poke your head up look
around at LinkedIn and talk to you guys.
Like, when I say you guys, I talk to
customers because you guys are talking
about Vancouver and things like that.
And we're talking about Xanadu, like
we're talking like way out there.
and so , it's so interesting
when, , I talked to, the customer
side of things, because it's almost
like I have to reshift my focus.
Into okay, where are you guys at?
Right?
Because we're ahead and you guys, and
I don't want to say behind because
that's not, that's not the right word.
You know, you guys are in a
different headspace, right?
Because usually we have an update
that hits right when knowledge hits.
And then we also have all the features
that we're adding into knowledge,
which obviously I can't go into that
because we always update everybody
right around knowledge time.
Um,
CJ: and there's no, there's
no safe harbor here.
So Uh,
Mark: Yeah, this is, this isn't the.
ServiceNow, CJ and the Duke podcast.
Unfortunately we, you know, sponsored
by, but unfortunately now, , yeah.
So, so there's a lot of
sprint planning that happens.
There's a lot of, iteration and cycling
that goes through , to get those
plans going, obviously for that date
in knowledge, nail that date and get
that ready, and then what's interesting
is we can't push anything live.
Until right around knowledge time.
otherwise you guys would see it.
So there's a group of people
that are sitting there like
ready to push the button
because they're, , and then
also in charge of that project.
So it's a real whirlwind for a
lot of people that are working the
conference that are also having
projects that are launched to the
conference, like when you're an
employee of ServiceNow, like that
knowledge time becomes, Like a tornado.
it's crazy.
it's a lot of fun, but
it's, very different.
Very, very different from
the employee standpoint.
CJ: Yeah, so it sounds like, you're a bit
of a service now time traveler, right?
, you, you exist a little
bit in the future, right?
Of service now versus like, where the rest
of us are and especially around, , when
it comes down to knowledge and then.
Duke: Okay.
CJ: that goes into trying to just
pull off , a service now knowledge
event with, making sure that, the
now learning stuff gets implemented.
Well, and I'm sure it's like, this is
like enterprise wide coordination to
Mark: Oh, absolutely.
CJ: Yeah, as someone who's been
to like the last 10 knowledges or
so, even a virtual ones, like, we
just got to take it for granted
that this stuff happens, right?
Like you show up and there's a
conference there and there are,
there's like breakouts and then there
are labs and there's like this great
expo and their booths there and people
are doing like really cool stuff.
And.
You know, you don't always think
about what had to go into it in the
background to, , to make it happen.
and then there's, and apparently
there's a lot of people like you,
like plugging away, trying to, you
know, make our experiences great.
Even if you guys aren't
even at the conference.
So,
Mark: I mean, those,
CJ: the work,
Mark: those t shirts had to be printed,
like down to that level, right?
Like someone had to figure out what
those words were on those t shirts.
it's insane to think about, right?
Like, if you see a balloon that
says, you know, hashtag service
now on it, someone had to approve
that balloon, . It's a lot of work,
CJ: Since we're talking about now learning
and like the merging of knowledge as well.
how much now on now?
Do you do to actually, , spin
up , the service down knowledge
conference, , from the perspective
of what you're, involved with.
Mark: Obviously, you know, now
on now, it's huge, huge, , from a
representation at the conference,
like, how much do we send from,
now learning, , Here's our story.
Here's what we've done over
the next from the last year.
, here's what we've learned.
Here's what we've done.
, we try to send as many people that we can
from here's the things that we've learned
our entire engineering team, , from our
leadership all the way down goes right.
And they try to, , tell that
story and, , really, showcase what
we've done, uh, especially like
last year, we had an entire track
of best practices on the portal.
, and what we've learned when we shifted
from what we called now learning 1.
0 to now learning 2.
0, which was just a , phenomenal
amount of knowledge to, drop into
somebody and go, , here it is.
Like we're talking about like graduate
level, portal level classes, ? About
like, here's how you use broadcast
and, talking to widgets and how to
make them not talking back and forth
so that you don't overload between like,
just, just crazy, crazy stuff that it's
like, if you're in a, you know, a high,
highly functioning, highly scalable type
environment, I mean, All the way down
to just the minutiae of , here's how
you scale your sys attachments table.
Like we try to put a lot of
that knowledge back into our
customers as much as possible.
Right.
I know I'm always looking for those,
. Where I go, this is constantly, my
team's probably sick of hearing this.
I'm like, Hey, this is a great
knowledge topic that we could submit.
Right.
Like constantly, . It's huge.
, it's definitely woven into the
fabric of everything that we're doing
is, , let's put this back into that.
, because.
honestly, like it, it just, it
makes, not only does it make us look
better, , to everybody else where
we're like, look how good we're doing.
, but I love it from a, let's go
show everybody how awesome we are
from an engineering standpoint
like, we're the best, we're,
keeping one of the most highly.
Sought after instances online 24
hours a day, seven days a week.
, people are constantly
learning on our system.
Let's show off and tell people about it.
So yeah, absolutely.
We're now on now is huge,
huge, huge in what we're doing.
CJ: Nice, so building on the
now learning aspects, right?
You mentioned the 2.
0, right?
And I remember the last time.
We had you on the show, ? That's
when you were launching,
you know, now learning 2.0.
Right?
And, we're like super excited about
it and it's, and I still am, right?
I think this is like a huge
improvement ? Over what I, what
came before and honestly, I can't
even remember what came before.
It's just so much better.
Uh.
Mark: Yeah.
CJ: It totally is.
And so I guess what, one of the things
I want to know is like, how are you guys
seeing , the, , adoption of now learning
increased since you all , pushed out
to Dido , cause I see what feels like
a bit more of a push, you know, from
service now around now learning than I
did, you know, before on, you know, 1.
0 versus 2.
0.
Mark: so ironic that you would
ask about the push, right?
Because you're one of them, right?
Like you're like, come on, your
picture is used in half the
marketing material we have out there.
I think Corey, come on.
I mean, let's just talk about rise up.
Like rise up is one of the most
ambitious initiatives I've seen
a tech company ever undertake.
, from a training perspective, it's a lot.
And when it, filters down to the
point where I'm ingraining it into
the engineers, where I go like the
numbers that we're talking about , you
shouldn't just be talking about, scale.
You need to be talking about
scale on a massive, massive level.
, 10 X and when we're talking
about like, does this work?
It shouldn't just be, does this work?
It should be, does this
work and will it work?
At 10 X and if you're like,
well, it should be okay.
It's like new, new, new, new, new, new.
This needs to be fail safe.
, this needs to be good for the next like 10
years because we're going to have 10 years
worth of traffic in the next two years.
Year.
and that's, that's the hockey stick
we're looking at trying to achieve.
Right.
we don't have time to go
backwards and fix things.
. So what we're looking at doing is
if we have, the exponential growth
and the hockey stick that we're
looking at achieving, it's like, if
I kick off and and achieve , that
growth the way that we're looking at
doing, I can't go backwards and fix
something that is broken or wasn't
scaling the way I thought it was.
So I need you to build it now
the way that it needs to be done.
so yes, the push is there.
, I'm having my engineers build.
To the point where gosh, I can't say
those words because I'm going to jinx it.
I'm having my engineers build to
the point where they're keeping
scale in mind to a massive level.
, CJ: so it sounds like the now
learning to idle launch was as much
or more than you guys ever expected.
And so now you're humming on all
cylinders and trying to figure out
how you can keep up with the demand.
So that.
Yeah.
Okay.
So that's definitely
a good place to be in.
Are you, are y'all keeping track of
statistics from the standpoint of how many
folks are going through now learning and
coming out and getting certified based on.
Mark: Oh, yeah., if you give
a stakeholder a metric, right?
They're going to want reporting.
, it's,
CJ: Isn't that the truth?
Well, let's, let's pause on that
right I think that's something that
we can, expound upon because it,
Fits in so many different ways.
. And so many different aspects
of, of the service down journey.
Right.
Like if you give a stakeholder, uh,
what was it, was it, what was it?
You just said, if you give a stakeholder,
Mark: you give a stakeholder a metric,
they're going to want reporting.
It's like that.
If you give a mouse a cookie, they're
going to want some milk, right?
Like you give it.
Yeah, yeah, yeah.
You give a stakeholder metric.
They're gonna want reporting.
Duke: Which is kind of sad that way,
though, because they should know
what they need to report on before
a third party gives them a metric.
Mark: yeah, exactly.
Duke: Think about this a little
bit before you even deploy.
Before you even deploy,
let's talk about the metrics.
Mark: Right.
, you should figure out what
you need to measure before
you even have to measure it.
, it should come out the other way.
but yeah, absolutely.
Do we have KPIs on all of this?
Absolutely.
The fortune 500 company, like there's,
there's tons of people breathing down
our necks going, like how many people
came through the program yesterday?
Duke: So, another thing that
you're really famous for lately
is all your posts about AI.
Mark: famous, you know, yeah, I know.
Famous or infamous?
I'll let you decide.
you know, all this, all this
Jenny I stuff started cropping up
about a year, year and a half ago?
I started jumping on that
stuff because when I was a kid
who didn't want that robot?
You know what I'm saying?
Like every one of those sci-fi shows had
a robot or some sort of AI benevolent
or not, but there was some sort of
AI in that thing, and it was like.
Man, I want that man.
I want that and so like I would say most
of my Childhood I was into it and I was
like, let's build this thing the second
program I ever wrote told me good morning.
Good evening and good
night I wanted it to do.
Cause I was like, that's
the coolest thing ever.
It just tells me hello.
,
CJ: but last thing that I saw you
post on LinkedIn is identifying the
planes that are flying over your house.
Right.
Mark: I hope, once they overtake us,
that they'll know who gave them the
high ground, at least in Phoenix.
Yeah, that was pretty good.
I mean, you know, it's, I'm getting good.
I'm getting scary at it.
I think I told somebody, it was
like, at one point someone will
hook something stupid up to
them, and I'm like, it was me!
It's like, yeah, it'll probably be me.
I look at this AI stuff and I go, hey,
, how long ago did the iPhone come out?
, I remember looking around and
going, man, that thing's neat.
And then I played video games and
sat around and didn't do anything.
, and I could have learned a program
on that, ? We all could have, , most
of us didn't, didn't do anything.
Some of us did.
Some cool stuff with those things.
And some of us made some pretty
good money with them too.
, and the people that did, did pretty well.
And I go, Ooh, maybe this is the next
iPhone, maybe this is the next thing.
, maybe this is the next, I'm
not going to say golden age
or, , it's not the next industrial
revolution, but maybe there's yeah.
Gold rush, right?
The next iPhone gold rush kind of thing.
Yeah, it's kind of clunky right now.
Yeah.
Everybody's making fun of it right now.
Cause it's going to do some stupid things.
It's going to straighten itself back out.
And it's going to figure it out and
there's going to be an application for it.
And there's going to be some of this
awesome stuff that comes out of it.
And I'm like, if I get the skillset
and I can, learn how to wield
this thing and mess around with it
enough, maybe there'll be some cool
career opportunities down the line.
So that's where I'm at.
So yeah,
Duke: hours do you think
you sunk into, Yeah.
And did you go from nothing to, , AI
building or can you give us a sense
of where you started and how long it
took to get you like building Icarus.
Mark: It's not good.
It's not good.
So here's the thing.
I went nuts, like, you don't have to do
this anymore because there's so many
tools that are coming out now that I
didn't have a year ago when I started
building all of this stuff, right?
Like when I started messing around.
So there's new stuff that's
helping everybody out daily.
, and there's, technology that's
helping people that I'm like, Oh
man, if I had had that a year ago,
that would have helped me out.
, so how many hours have I sunk into this?
Hundreds, like lots, lots and lots and
lots, which is why you're seeing me
crank these things out at like, like
Robin Williams joke telling pace, I'm
just like throwing them out there.
And everyone's like, well,
how are you doing this?
, I have this infrastructure set up with
like this no code, low code kind of
workflow platform where I can just.
Picking, choosing, grab and go.
but I spent a whole lot of time building
that up and learning my tool set so that
now I'm just like, Oh yeah, grab and go.
, and I know where all my tools are.
And so when someone comes
around and they're like, , can
you do it with this tool?
And that's when I'm like, not
really no, but you give me
the freedom to do what I want.
I'm like, yeah, sure.
Here you go.
Like it's done.
CJ: So you've got like
a, custom workspace, right?
Like you've got all the tools
that you need to get you from
point a to point Z, right?
Like you've got all of those in
arms reach and so they're low code,
no code to use on, on top of that.
Right.
, and those are allowing you to build
some, crazy things, but What folks
really want to hear about, right?
Is what allows you to
get to that point, right?
Where it became low code, no code,
because it feels like there's a level of
understanding and a level of dedication
that had to happen before it became easy.
Mark: Got to take the red pill.
It's just like when you learned object
oriented programming when you learn
object oriented programming, there was
that time when your brain turned to mush.
Like, you remember that?
You're like, I don't get it.
this sucks.
Who does this?
this doesn't make any sense to me.
, and it took time for your brain
to , adjust and then once you got
it, you were like, oh, now I get this.
It takes time for it to sink in.
You?
Duke: there's a reason
why I asked this question.
. It transcends the AI question.
Mark: Mm hmm.
Duke: Like, how do you
get good at anything?
, you have to obsess about it for
Mark: Yes.
Duke: in a painful way.
Mark: Yes.
Duke: Hey, I just got my
welcome to service now, sir.
I'm super excited to learn.
Like, how come there's no info on
how to really excel and get a job.
I'm like, you're not even there.
Mark: Yeah, you just, you,
Duke: you spent maybe four hours at
Mark: you bought a shovel and
now you want to know how to
start a construction company.
It's like, well, hold on, hold on.
You might want to spend some time.
Duke: yeah.
Are your first five minutes of the
gym is like, where's the gains?
There's nothing you get in this, like
even with AI helping us now, it's
still, you have to pay the piper.
If you want to do something that cool.
You've got a , I don't know
anything about birthing a child.
Right.
But it seems to me like it's
the most glorious, miraculous
thing in the entire world.
But what the crucible you have to pass to
get that child is astounding, you know,
Mark: Mm-Hmm.
. Mm-Hmm.
Duke: so.
if you want to do something cool, be
it just being a service now, anything,
or being on the cutting edge of the AI
stuff, you just have to think about it in
terms of what labor am I going to put in?
can I do 9 months and then labor?
Mark: Don't compare, the way
you learn and the way I learned
are totally different things.
I've been doing integration
work for a long time.
So when you see me throw together this,
PI aware thing, which by the way, guys,
, I had already built the damn thing.
I'd already done this integrated.
Go look at my YouTube.
I'd already done an
integration into PI aware.
There's one that I did into, , to
service now, like I've already
messed with this technology before.
This isn't anything that's new to me.
I've, I went back through
and recycled a project.
that's what you should
be doing in your careers.
Like go back and recycle a project.
Don't start from scratch.
Like who does that?
go take a project that you already
know, something that you're
familiar with and go do it again.
Because you know what?
It helps you learn, like it helps
you learn how to get to Carnegie
Hall, practice, practice, practice,
do it again and again and again.
I have one project that I've rebuilt,
like I don't know how many times over
the course of my career, because that's
just the project I know and like I do
it again and again to keep me fresh.
CJ: So basically , the secret to success
today is a whole lot of effort yesterday.
Right.
It
Mark: And if you have
insomnia, that helps too.
You jerk.
You
CJ: yeah, that, that always does.
I am, blessed to not have it.
And , I always think about that every
single day, right before I go to bed.
Mark: You jerk.
Yeah.
Wow.
Push that knife.
Yeah, that's great.
Duke: I mean, I used to, that's
why I got all my content from her.
It was like, why is the
content slowing down?
Cause I sleep now.
Mark: Yeah, you sleep.
Yeah, I'm like, people are like, people
are like, what, what's this integration?
I'm like, I don't know.
I've got, I had three milligrams
of Lunesta in my body.
I have no idea what it is.
Like, can you build it again?
I'm like, maybe?
Like,
CJ: Like, probably not.
Mark: I don't know.
I tore that one down.
Like, I didn't sleep.
Yeah.
CJ: So, I mean, so look at
the, your, LinkedIn feed, Mark.
I mean, it is just a.
One stop shop of cool stuff, right?
Like
Duke: Does anybody talk about
AI at ServiceNow more than Mark?
CJ: not in my feed.
No.
Duke: Not in my feed either.
CJ: And so you've built this
AI, uh, you call them cause,
right.
Mark: Cause.
Chatbot operating system.
Yeah.
CJ: Chatbot operating system.
Okay.
I like that.
, and the things that I see come across my
feed from you with you and cause, right.
Like I should say, right.
Like cause can apparently tell
you like what's in your fridge.
Mark: Sometimes.
Yeah.
Duke: The chocolate pudding?
Mark: was funny.
Uh, cause.
Duke: 40 is like, what the
hell are they talking about?
Mark: What are they talking about?
CJ: They have never heard of Jello
pudding and maybe not even Bill Cosby
Duke: Pudding
Mark: the pudding back!
Bring the pudding back!
What's funny, so I've been stealing
celebrity voices for cause.
CJ: Oh, nice.
Mark: I would do it for you, but
you'll probably get a takedown.
right now he's stuck on Nick
Offerman, um, Ron Swanson
Pretty simple stuff!
there's nothing earth shattering
about what people are doing here.
and, you
CJ: It sure feels earth shattering.
So that's like, I just want
to, I want to, , level set the
expectation from the outside, right?
Like when I scroll your feet, man,
it really feels earth shattering,
Mark: it's one of those things
where , like, I'm just some dude, ,, I
can't be the only one that's figured
this out, like, it can't just be me.
CJ: but all right,
so,
Duke: but you also, you're
also the one that did like the
hundreds of hours towards it.
CJ: great.
Mark: Yeah.
But
CJ: So, so
like,
Mark: instead of like, I don't
know, that was just because I'm an
idiot and I didn't know Kubernetes.
Like, I don't know.
CJ: yeah, I mean, well, neither do
I,
Duke: I'm not the only one
who doesn't know kubernetes.
Mark: Well, I mean, eventually I nailed
Duke: who is kubernetes?
Mark: Yeah.
CJ: Who's that guy?
And where, where has he been?
Mark: mean, it's
obviously running now, so,
CJ: Oh, and that's the thing, right?
, earth shattering again, right?
think is in the eye of
the beholder, right?
So I get it, right?
Like I've got a lot of projects
where I do a proof of concept just
to prove to myself that I can do it.
Right.
And then I put them on a shelf.
Right.
And it's like, oh, that was, , the
challenge was getting to that
point what made you keep going?
Right.
Because you didn't stop at, oh man,
this is a nice little chat bot that
can tell me some weird and cool things.
Like you're like the stuff that I've seen
you publish is better than my Google home.
Mark: Yeah.
, there's a couple of impetuses there.
I have a Google home.
I love Google home.
Um, I'm frustrated with Google
home because I went Google home.
I love that you sometimes
tell me there's a package, but
you barely ever get it right.
, let's just be honest.
It does an okay job, but you're
telling me that this is AI.
this is what you're packaging
up and selling to people as AI.
CJ: Well, that's what
most people know is AI.
Right.
Mark: Yeah.
That's frustrating to me.
You know what I mean?
Like, this is the capability
that we have and I get it.
Like
CJ: now we're getting somewhere.
Mark: that was the capability that
we probably had at that point.
, this is the capability we have now,
? And I'm like, Hmm, that's frustrating.
that's really frustrating to me.
Like, where's all the innovation?
Google's pumping out Gemma.
I'm like, so where's our update?
You know what I mean?
Like, where is it?
what happened?
all I see is Google shutting down nest.
I'm like, so what happened?
Like,
CJ: so you've got the Google home
at home and when you got it, like
me, probably like you were thinking
like, damn, man, this is crazy.
This is great.
then like the rest of the world, right?
Like the, the AI revolution came and
your Google home and Amazon Alexa
and so on and so forth, all just
kind of stage stuck where they were.
Right.
Mark: And then Google
starts killing it off.
And I'm like, guys, we
had the whole thing.
We had everything ready to go.
, you had devices in
every room in the house.
You had everything.
And then,
CJ: then nothing, just kind of got stuck.
And so then, so you, you decided,
we've got all the parts here,
maybe you could do better.
, Mark: I guess I'll just kind
of start building parts myself.
I gave them enough time.
Like I, like, I dunno, I
CJ: Google, you're on the clock,
Mark: Yeah.
I'm like, screw you guys,
I guess I'll do it myself.
And I had talked to people about this I
had other nerdy friends that were like, I
don't want to put cameras in my home and
, presence detectors and all this stuff.
And I'm like, how are
you going to do that?
Seriously, in my head, I'm like, how
the hell are you guys going to do this?
You guys are crazy.
And then finally i'm i'm sitting
here going Well, now I know
how you're going to do it.
Like I figured it out.
CJ: Cause that kind of net brings
us to one of the coolest posts
that I've seen on your LinkedIn
feed, is your, camera, right.
That you've got, , AI running against
that allows you to know who showed
up in front of your house and if
they dropped off a package or not.
And talk a little bit about that.
Mark: yeah.
So that one's a little fun.
Combine that one with , the garage,
those two posts are interesting.
and I'm, I'm kind of pursuing those ones.
so what, those two allow me to do.
So I found a platform, they've
packaged up all the, OpenCV
and, , all the computer vision.
Packages, which is really neat.
And they allow you to tap
into, this cornucopia of data.
And I've been able to process that data,
the visual data that a computer sees.
, given an IP camera stream and
just a local device, so a small.
Well, like a tablet or just, a phone
or something small, I can process the
visual data that comes in and then
stream that into a vector database.
Sorry, do.
, and then, , from there, I can
do almost , real time queries.
So what I'm talking about when I
say that is, , I take that data in
and I take the scene and I kind of,
you know, I'm going to use a word.
I I'm going to call it normalize.
So I normalize that data.
I take the, , bits of information about
that data, the tags, what's in the
scene, the frames of that, , just, the
overall, what's going on in this scene?
What's important about this scene?
I normalize that
into , the vector database.
Then I can actually do a search on it.
So later when I come back and
say What's going on, , I can do a
recall of that, that data real fast.
, which is really, really cool.
, it allows me to do some
really neat things.
So
CJ: Okay.
Mark: is the car in the garage?
What make or model of cars in the garage?
And if it's at the right
angle, it'll get it right.
, I can actually tell it, it's
a and gray Nissan Leaf.
, there's no training.
I have not trained this
on any of this data.
This is just full on what is,
what's already available to it.
, if I put it in the patio, it'll
tell me if the sliding glass door
is open or closed, it'll tell me
how many people are in the patio.
It'll tell me, all sorts
of just nutty data.
and that's without me training it.
Duke: Okay.
Okay.
Mark: cameras.
They're a W Y Z E.
CJ: Oh, yeah, yeah, yeah,
Mark: they're pretty cool little cameras.
, the reason I picked the Wyze camera
specifically, there's a model of Wyze
camera called the Wyze Battery Pro.
, neat little camera.
It's got a 2K lens.
It's got a battery pack.
It is, , hot swappable.
And it's got, , its own spotlight on it.
It's got two way audio, wifi,
weatherproof, waterproof,
basically put it where you want it
Outdoors, indoors.
that little guy could go.
Dang near anywhere and stream you data
from wherever you wanted it to go.
and, and,
Duke: physical site
security on service now.
Mark: physical site security, the
applications are pretty well limitless.
Like we, I was thinking about, just
the way out there applications,
like what about, , exterminators, if
you're, if you're trying to get rid of
Duke: yeah.
Put the camera where you can't
go and just leave it there,
CJ: Oh, that's, that's interesting.
Yeah.
Mark: I mean, that's , bottom
of the barrel kind of stuff.
But , even to go , from A to B, right?
Think about all the crazy
applications that you could
do with something like that.
, anything that you wanna watch that
you just don't want to sit there
and look at and search through.
That's what that would do.
Duke: man.
Um,
CJ: Thank you.
Duke: we're going to have to do a
second episode of this because we
just recorded for like 45 minutes.
I didn't even realize I'm
like, can't be that bad.
I'm thinking 20 minutes.
No, no.
45 minutes.
All right.
Shoot Mark.
Unfortunately.
Wow.
That time just went crazy fast.
, I think just given the interest in
our last AI episode and how much
Mark: do another one.
I'm good.
I'm good.
Duke: We should just have you back
on and go for another 45 minutes.
Mark: I'm good with that.
We'll do it.
We'll do a hat trick.
Duke: editing.
Um,
Mark: Rob, you know me, man.
Editing is the bane of my existence too.
No worries here.
CJ: We still don't have an outro.
Mark: absolutely.
Duke: see you on the next one.
Mark: Absolutely.
Yeah.
Love it.