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Welcome buying local. 
Welcome everyone to buying 

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local. 
I'm Mike Nelson from Pod Towers 

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Media here with Jared Hudson 
from Adirondack. 

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So I was thinking about this on 
the way over. 

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Are you still Adirondack 
technical solutions or are you 

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just 80 key techs or you kind of
run both? 

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That's the legal name. 
That's the legal name. 

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OK, Yeah, I did. 
Re shorten it down 80K tax just 

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because you know 20 years ago we
started the business with it. 

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I realize that when you ask the 
phone. 

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Thank you for calling Adirondack
Capital solutions. 

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Yes, that's all. 
He plays as 80 key pass. 

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At this point, we've. 
Been rounded as etiquette. 

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That's for, you know, better 
part of all 1012 years now, 

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maybe even longer. 
Yeah, it's wow, 20 years, man. 

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You said that to me the other 
day when I bumped in you here. 

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By the way, we're at Jared's new
location over by accident 17 off

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the highway. 
I don't know, are you next to 

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Stinky's Coffee or a Stinky 
Coffee next to you? 

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I. 
Bet removed in sample, so I 

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guess we're. 
Next, you're next to Stinky's. 

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OK, well, we're next to Stinky's
Coffee. 

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If you haven't checked out 
Stinky's, go ahead. 

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I'm having one of their lattes 
as we speak here. 

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But you said that when I bumped 
in yet? 

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20 years. 
Yep, 21. 

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We're starting at 21st year, so 
we're completed 20 and 21. 

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That's why how time plus. 
It does. 

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We're old men. 
We are. 

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The Grand. 
Problem. 

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We call those wisdom highlights,
Derek, wisdom highlights. 

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So I, you know, you said that 
and I was like, Oh my God, we 

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got to talk because I want to, I
want to hear about the last 20 

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years. 
Your business has changed, 

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obviously for the better time 
gotten better the last 20 years.

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So many people don't even make 
it 5 years. 

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You know, that's a big mouse 
known for a lot. 

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This is let alone making it 1. 
So I'm not even sure where to 

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begin, but let's start with how 
did you end up starting the ADK 

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tax 20 years ago? 
Well, I guess it started with 

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just like wasting the way the 
industry was, you know, when it 

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first started out. 
I mean, I think like IT was not 

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really customer centric, right? 
It was more of like you had to 

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have it, right. 
That was, as you know, you get 

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to the, you know, you know, late
night. 

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It was early 2000s as technology
was emerging. 

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Yeah. 
You know, that was where it was 

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just starting to kind of be 
looked at as like something to 

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enhance your business. 
There was still paper processes 

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in place. 
And then you just made some 

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efficiencies with computers. 
And so, you know, you're, you 

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know, I guess it came from going
from the big, you know, 

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mainframes. 
And now that was going in the 

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personal computers and servers 
in every office. 

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And, you know, you kind of go 
through these cycles, right. 

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And you're now headed through 
another one of these cycles 

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where you went from big 
mainframe personal computers, 

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then the servers kind of hybrid 
that now we're going back to the

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mainframes out in the cloud, you
know, and I go to big super data

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centers and then you're going 
back to individual devices that 

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access stuff in the cloud. 
So it's just kind of going back 

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and forth, you know, but it's 
been where we started was, you 

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know, kind of filling that a lot
of project based work, you know,

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get setting up desktops, running
cable building, kind of like a 

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private cloud, right? 
We're putting a server in every 

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business. 
We're installing an Exchange 

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Server. 
We're figuring that to connect 

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to their cell phones. 
The cell phones were emerging. 

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People had their websites hosted
in their, you know, website on 

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their own server. 
So, you know, we used to have a 

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client makeup of all these 
little clouds inside of their 

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video inside of their networks. 
We had to protect them all as 

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things changed, right? 
You know, the pace of the world 

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picked up. 
Everybody wants everything now, 

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want to be agile as a business, 
want to be able to do business 

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from everywhere. 
That kind of model became, you 

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know, a little bit more 
expensive, right? 

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So you're still have to maintain
all these servers, had to grow 

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different servers for security 
reasons. 

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So you had to start parsing off,
you know, servers for different 

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roles. 
And then that, like I said, that

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became taking up real estate 
inside of the business. 

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It's consuming a lot of power. 
You know, everybody had those 

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old server rooms right in their 
office that with all the racks, 

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that stuff. 
And so, but then the attack 

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started going against the 
business. 

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And so that's really loud 
computing comes in, we get to 

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kind of offload some of those 
things. 

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You're still susceptible to 
those same, you know, attacks 

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and things like that, but now 
you have different tools that 

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can protect them. 
You don't have a whole separate,

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you know, area in your office up
for this anymore, smaller 

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footprint, you know, maximizing 
what you have and also making it

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more agile, right? 
Power out goes in this building.

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We can all go work from home, we
can go work anywhere. 

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You know, we have cell phones, 
you know, we can work from cell 

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phones. 
So we don't really have to. 

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We're more agile, we're, you 
know, more functional, we're 

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cheaper, you know, it's able to,
you know, deliver the same 

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results for a smaller pops. 
For a lot, yeah. 

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It's, you know, it's funny too, 
because I weirdly, I unwatched 

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the original Tron movie. 
I don't know if you've ever seen

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that movie or not. 
Oh my God. 

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So I watched the original Tron 
movie last night and I was 

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laughing about like, you look at
that movie that was on the maybe

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late 70s, early 80s compared to 
what the movies are today and 

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just how much technology has 
changed. 

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It is So what is so wow. 
Yeah. 

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So, Matt, well, as you said 
earlier, we're, I guess we're 

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we're old men now. 
Some of the science fiction 

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stuff is, you know, you watch 
Star Trek, you know, they're 

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flipping that over there, 
talking to it. 

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You know, it's like was 
literally holding the fall into 

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their head, talking to everybody
throughout the world. 

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Yeah, changing messages, you 
know, very quick. 

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So, you know, we we become so 
old that science fiction is now 

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real. 
Is now the reality, Yeah. 

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And information on demand and 
people on demand, right. 

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Everybody's accessible instantly
these days. 

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It is absolutely wild. 
I. 

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You know, so you, you kind of 
got into a little bit about how 

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your business model has changed 
over time. 

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And we we were chatting about it
before we officially started the

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episode. 
But you know, one of the things 

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that businesses struggle with is
the pivot, right? 

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The changes that you have to 
make is stay ahead of your 

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industry and be on top of things
and the people that don't fit it

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over time and the getting left 
behind going out of yours, 

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right? 
So obviously technology's 

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changing at an ever increasing 
rate. 

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You've had to keep up with this 
over time and kind of stay at 

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the front side of that wave. 
I how does it look like? 

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How do you do that as a 
business, right? 

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Like if you're going to tell 
someone like, hey, this is what 

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you got to do and stay ahead of 
your industry, Like what, what 

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do you do? 
How do you do it, especially 

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your industry that moves so 
fast? 

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Well, human beings inherently 
don't like change, right? 

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We've kind of learned that in 
this industry, right? 

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Yeah, that's we thrive on it 
because we like technology, we 

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like change, we like the, you 
know, when a new iOS comes out, 

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we love that when new product 
comes out and they serve, you 

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know, new cloud service, new, 
you know, hardware, whatever it 

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is, we like that. 
But other, you know, for the 

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most part business like 
standards, right. 

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So one of the ways that we've, 
we've pivoted and that we went 

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from kind of like the, I 
wouldn't really call organized 

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chaos. 
Like the oldest way of doing IT 

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was like generally it was like a
fire drift. 

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All this person needs that over 
here might be send three people 

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over there and just take care of
that. 

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Meanwhile, 3 other fires start 
and then you just rushed three 

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other resources back in that 
other direction. 

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And like that is exhausting. 
That's exhausting for your team 

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that providing the support. 
It's exhausting for your 

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customers just to kind of like 
just feel like you're just 

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cancel, just stopping off fires 
and then you're going over the 

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next one and a bunch of pops up 
over there and it was just 

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chaos. 
And so where we pivoted was to 

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standardize, right, the old IT 
models. 

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And we've still even see it 
today. 

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And I and I don't know how some 
people still like those 

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environments, but it's like, you
know, the Alicart like, oh, 

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we're going to do, here's the 10
services that you offer. 

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I want this, this, I want 5. 
And so that creates a dilemma of

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like, OK, well, they didn't want
this, you know, EDR, you know, 

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protection against malware or 
against ransomware. 

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They don't want that. 
So what do we do when they get 

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ransomware? 
Do we just let it burn? 

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No, you know, and so. 
You so that creates all this 

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communication in this non 
standard way of reacting because

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it's like I have these 14 
different contract types. 

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And so four or five years ago we
just said we can't do that, Like

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we can't allow people to choose 
their protections. 

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And that's a maybe a crude way 
or maybe a over direct way of 

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saying it, like we can't allow 
anyone to choose that. 

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But you're, you're, you're 
getting, you know, you're, 

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you're getting to where you're 
not 100% sure what that 

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protection actually gets. 
So we just created a program 

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that's just like, hey, you know,
from A-Z. 

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This is just what we're going to
do. 

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We're going to just cover your 
desktop installations. 

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We're going to cover the way 
that you monitor cybersecurity. 

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We're going to, you know, cover 
your employee training for cyber

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security to, you know, train the
human firewall. 

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We're going all these things are
going here, your risk 

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assessments, your vulnerability 
assessments. 

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We're going to do this right up 
to this point. 

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Then we're going to ask her to 
have a pen test. 

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They have trust and verifies 
what we do for you. 

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That shows the program is in 
place. 

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That's being effective. 
So we in Pennant. 

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Pennant test means penetration 
test. 

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So that's essentially where you 
purposely try to break the 

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system to see where the 
vulnerabilities. 

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Are Yep, you'll, you'll have a 
third party service come through

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and just say, OK, we're going 
to, you know, we're going to 

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task, we're going to see if you 
bend, hopefully you don't break 

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if there are instances is every 
break. 

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Hey, is this a a vendor specific
vulnerability that's not patched

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yet? 
OK, that's great. 

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We know about that. 
We know it's a weakness, but 

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what's the controls that we put 
in place to monitor it 

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minimizes, you know, you know, 
its ability to affect our 

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business. 
So we put in that full program 

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and there's no more like it. 
It's IT of yesterday is here's 

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block hours and we're going to 
wait till you have a problem 

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that break and fix. 
Give us a call when your company

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is running inefficient. 
And to me that's never really 

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made sense. 
We've strived to like kind of 

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get to this point of like where 
we're proactive instead of 

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reactive and where we want to, 
you know, where we're taking 

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things is where we're going to 
sit down. 

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You know, we want to sit down 
and, you know, do a tabletop 

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exercises where we're like, OK, 
you just got ransomware, you're 

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a payroll company. 
What what happens? 

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And then we just sit back and we
let their leadership team 

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discuss that say, well, it 
sounds like you're missing, you 

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know, some of this in your hands
and response plan sounds like 

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you're missing some of this. 
What is your return to business 

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like how if you were had 
ransomware and your systems were

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unavailable for 48 hours, what 
does that look like to you? 

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OK, you need to be back in 
business in 24 hours. 

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Here's what that cost is. 
Do you have the business model 

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that supports that type of 
profitability that gives you 

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that return to business? 
You know, technology like can 

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00:11:15,360 --> 00:11:17,520
you restore this back? 
So those are all because you get

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00:11:17,520 --> 00:11:19,560
some people say, oh, all my 
stuff is backed up in the cloud.

229
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OK, great. 
What happens? 

230
00:11:21,720 --> 00:11:24,080
You need to restore, you know 
how fast is your Internet 

231
00:11:24,080 --> 00:11:26,720
connection? 
You have 50 mic connection, but 

232
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you got 3 terabytes worth of 
data that needs to be restored 

233
00:11:29,120 --> 00:11:31,040
down. 
And when you start to do that 

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00:11:31,040 --> 00:11:34,000
test restore, it says, oh, it'll
be restored and, you know, 36 

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00:11:34,000 --> 00:11:37,160
hours. 
Can, can you explain for our 

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00:11:37,160 --> 00:11:39,320
listeners explain what 
ransomware is? 

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Because it is scary. 
And I, I, I know that a lot of 

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people do, but I also have to 
assume there's people that don't

239
00:11:47,480 --> 00:11:49,840
know what ransomware is. 
So just explain that. 

240
00:11:50,160 --> 00:11:52,200
Yeah. 
So ransomware is where they, you

241
00:11:52,200 --> 00:11:56,480
know, execute malicious code to 
a system or systems within your,

242
00:11:56,480 --> 00:12:01,480
you know, your environment and 
that it will encrypt the data 

243
00:12:01,480 --> 00:12:05,160
with an encryption key that they
only have reversible in which 

244
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then they'll make a demand to 
you. 

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00:12:06,640 --> 00:12:10,440
So hence the ransomware. 
They say, hey, you give us, you 

246
00:12:10,440 --> 00:12:15,120
know, you know, 5 Bitcoin or 
1000 Bitcoin and if you give us 

247
00:12:15,120 --> 00:12:18,520
that, we'll give you your data 
back and so. 

248
00:12:19,960 --> 00:12:21,440
So they're holding your stuff 
hostage? 

249
00:12:21,440 --> 00:12:24,280
They're holding you hostage 
until you do that unless you if 

250
00:12:24,280 --> 00:12:28,080
you have good backups and you 
have good wall back procedures 

251
00:12:28,080 --> 00:12:29,800
and things like that. 
If you have quick technology on 

252
00:12:29,800 --> 00:12:32,080
your endpoints, you can use or 
just wall that stuff right back 

253
00:12:32,080 --> 00:12:35,000
in a few minutes, restore your 
data, do all that good stuff. 

254
00:12:35,040 --> 00:12:37,440
If you have the white, you know,
protections and programs in 

255
00:12:37,440 --> 00:12:40,080
place. 
If you want the Ala carte, you 

256
00:12:40,080 --> 00:12:43,680
know, model, you're kind of just
spending the. 

257
00:12:43,680 --> 00:12:45,040
Chamber out, then you get 
expensive. 

258
00:12:45,040 --> 00:12:47,520
Yeah, yeah. 
And then so you never want to be

259
00:12:47,520 --> 00:12:51,120
in the spot and we've even heard
this, but I have, I have cyber 

260
00:12:51,120 --> 00:12:54,080
jets. 
OK, so do you want to go through

261
00:12:54,080 --> 00:12:56,800
where you have to make a cyber 
claim and just say, OK, well, at

262
00:12:56,800 --> 00:12:58,800
least I'm covered for the 
$2,000,000 worth of data I just 

263
00:12:58,800 --> 00:13:01,800
lost that you just built over, 
you know, 20 years. 

264
00:13:02,720 --> 00:13:04,240
That's a difficult position to 
be in. 

265
00:13:04,240 --> 00:13:07,320
So you don't really like your 
cyber insurance should be 

266
00:13:07,440 --> 00:13:11,120
breaking, you know, you don't 
break this glass here emergency,

267
00:13:11,240 --> 00:13:13,160
right? 
That should be We're hoping that

268
00:13:13,160 --> 00:13:14,760
we could take care of that fire 
before. 

269
00:13:14,760 --> 00:13:18,720
Absolutely, yeah. 
Yeah, it is wild. 

270
00:13:18,720 --> 00:13:20,160
I and it's funny to you because 
I read. 

271
00:13:20,160 --> 00:13:23,880
I mean, I don't know, I probably
get 10 different newsletters in 

272
00:13:23,880 --> 00:13:26,360
my inbox every morning with 
different industry stuff. 

273
00:13:26,360 --> 00:13:30,160
And every single one of them 
always has something about 

274
00:13:30,160 --> 00:13:35,960
somebody who has gotten hacked 
is had a, a ransomware, a a 

275
00:13:35,960 --> 00:13:38,880
malware. 
It's like all this DDoS attacks,

276
00:13:38,880 --> 00:13:40,600
like all this different stuff 
that's out there. 

277
00:13:40,600 --> 00:13:43,680
It is such a scary world in 
visual environment. 

278
00:13:43,920 --> 00:13:47,960
Yeah, we just did a Facebook and
liked impost about, you know, 

279
00:13:48,760 --> 00:13:52,560
international conflicts, right. 
Obviously everybody's where you 

280
00:13:52,560 --> 00:13:54,200
know, the conflicts that are 
going on right now. 

281
00:13:54,280 --> 00:13:57,240
And then you just see, you know,
three days later as we put this 

282
00:13:57,240 --> 00:13:58,320
out. 
We've been doing this quite a 

283
00:13:58,320 --> 00:14:01,120
while. 
We we know the trends that goes 

284
00:14:01,120 --> 00:14:08,600
over then you have, you know, 
pro Iradian company or, or I, I 

285
00:14:08,600 --> 00:14:12,400
shouldn't say a company, but you
know, a group haptivists, 

286
00:14:12,480 --> 00:14:16,560
haptivists, right? 
So they, they, they targeted a 

287
00:14:16,560 --> 00:14:21,160
major US medical company and, 
you know, launch ransomware 

288
00:14:21,160 --> 00:14:26,160
denial service tax and, and 
targeted it was hard that even 

289
00:14:26,160 --> 00:14:30,360
really they, they took over some
endpoints and just deleted data.

290
00:14:30,360 --> 00:14:31,960
This was more of a Melissa stack
later. 

291
00:14:31,960 --> 00:14:35,160
So some of your hacktivists will
do the ransomware, make some 

292
00:14:35,160 --> 00:14:37,680
money out of it. 
Someone just go in there capture

293
00:14:37,680 --> 00:14:40,760
flag, just say hey that we get 
it and others are looking to be 

294
00:14:40,760 --> 00:14:42,760
malicious and they're just 
deleting data and just say hey, 

295
00:14:42,760 --> 00:14:45,920
we captured the backups, we got 
the data as well, We're just 

296
00:14:45,920 --> 00:14:48,600
going to be malicious we're. 
Burning your stuff right around.

297
00:14:48,720 --> 00:14:52,720
So that's your that's your 
unattended consequences of, you 

298
00:14:52,720 --> 00:14:54,560
know, you know, the 
international conflicts. 

299
00:14:54,560 --> 00:14:56,640
And sometimes it doesn't even 
involve our own country. 

300
00:14:57,160 --> 00:15:00,360
It's just that we're a wealthy 
nation. 

301
00:15:00,480 --> 00:15:04,040
And so you are a target for 
ransomware and if you make that 

302
00:15:04,040 --> 00:15:06,320
ransom low enough and you're 
like, hey, well, you know, for 

303
00:15:06,320 --> 00:15:08,160
$10,000 I can just be done with 
this. 

304
00:15:10,120 --> 00:15:13,400
That's $3,000,000 worth of data.
I'll pay the $10,000. 

305
00:15:14,000 --> 00:15:15,880
And some of those groups are 
very nice. 

306
00:15:15,880 --> 00:15:17,280
They, they give you the 
encryption key. 

307
00:15:17,840 --> 00:15:20,800
They give you the encryption key
and every, you know, that's the 

308
00:15:20,800 --> 00:15:23,360
purpose of having a program like
this in place, so that you have 

309
00:15:23,360 --> 00:15:25,280
the resource of place to 
properly handle Manson. 

310
00:15:26,080 --> 00:15:28,480
You don't just give them full 
$10,000. 

311
00:15:28,480 --> 00:15:31,200
If you were in that unfortunate 
state that you had to pay the 

312
00:15:31,200 --> 00:15:34,640
ransom, you would say, OK, we're
going to give you a 2500. 

313
00:15:35,160 --> 00:15:38,880
Now you show us that you 
actually have our data and 

314
00:15:38,880 --> 00:15:41,480
you're, you could ask for proof 
of that and maybe even hopefully

315
00:15:41,480 --> 00:15:43,360
do that. 
Forget the point 500 as well. 

316
00:15:43,360 --> 00:15:45,040
Show a proof. 
And they usually do they, 

317
00:15:45,280 --> 00:15:48,000
they're generally very nice. 
They'll leave a nice text file 

318
00:15:48,000 --> 00:15:50,600
behind that says that we have 
this data and here's the data 

319
00:15:50,600 --> 00:15:52,800
that we have. 
And sometimes they leave a 

320
00:15:52,800 --> 00:15:55,520
little folder with the data that
they've captured and, and you 

321
00:15:55,520 --> 00:15:58,320
know, uploaded. 
The other times they just tell 

322
00:15:58,320 --> 00:16:02,080
you and then they can show you 
and then you say, OK, now give 

323
00:16:02,080 --> 00:16:04,160
us all this and then we'll do. 
And then you got to have, you 

324
00:16:04,160 --> 00:16:06,440
got to hire lawyers, you got to 
hire people that specialize in 

325
00:16:06,760 --> 00:16:11,120
and that's where your cyber 
insurance comes in to handle all

326
00:16:11,120 --> 00:16:14,480
that expensive stuff. 
But then most of the time you're

327
00:16:14,480 --> 00:16:16,320
a big enough organization or 
you're kind of a mid sized 

328
00:16:16,320 --> 00:16:18,360
organization, you might have the
proper coverage with us. 

329
00:16:19,440 --> 00:16:23,200
So that's that's we're going 
through the exercises and going 

330
00:16:23,200 --> 00:16:24,720
through the stuff that we talk 
about. 

331
00:16:24,920 --> 00:16:29,240
Yeah, from some stuff. 
Tell me I, you know, it's almost

332
00:16:29,240 --> 00:16:32,760
being becoming cliche right now 
to talk about AI and every 

333
00:16:32,760 --> 00:16:37,120
single business conversation, 
but it's in every single 

334
00:16:37,120 --> 00:16:40,120
business conversation and that 
and I'm very curious how 

335
00:16:40,120 --> 00:16:43,680
everyone is reacting or 
responding to AI and how it 

336
00:16:43,680 --> 00:16:49,400
using it and afraid of it, love 
it, implementing it. 

337
00:16:50,160 --> 00:16:54,440
Are do you guys see AI impacting
your industry and are you making

338
00:16:54,440 --> 00:16:57,440
pivots because of the AI and 
what it's offering and doing? 

339
00:16:57,680 --> 00:17:02,080
So AI is still learning, right? 
And so it is it's obviously like

340
00:17:02,080 --> 00:17:03,920
one of the biggest things, you 
know, like every time you scroll

341
00:17:03,920 --> 00:17:05,480
through Facebook, you see all 
these ads. 

342
00:17:06,040 --> 00:17:08,440
AI is going to create more jobs 
or is there create more 

343
00:17:08,440 --> 00:17:12,960
millionaires in the next, you 
know, six months than the last 

344
00:17:12,960 --> 00:17:16,560
20 years has a bubble, blah. 
Some truth to that. 

345
00:17:16,560 --> 00:17:19,520
Some, you know, you know, 
oversells marketing to that as 

346
00:17:19,520 --> 00:17:23,040
well. 
But AI is not something to be 

347
00:17:23,040 --> 00:17:26,520
feared. 
It's not something to be, you 

348
00:17:26,520 --> 00:17:28,720
know, running into either. 
It's something to be respected, 

349
00:17:28,840 --> 00:17:30,520
right? 
And so like from a cyber 

350
00:17:30,520 --> 00:17:35,280
perspective that we look at, we 
talked to a lot of our customers

351
00:17:35,280 --> 00:17:38,040
about, you know, hey, make sure 
you have like an AI policy in 

352
00:17:38,040 --> 00:17:43,200
place first because like right 
now, people are, you know, 

353
00:17:43,880 --> 00:17:46,040
businesses right now. 
So you're familiar with the term

354
00:17:46,040 --> 00:17:49,080
like shadow IT and where people 
would, you know, bring in 

355
00:17:49,080 --> 00:17:51,440
technology into your business 
and connect them to your, you 

356
00:17:51,440 --> 00:17:54,360
know, network and they could be,
you know, creating threats, shit

357
00:17:54,440 --> 00:17:57,840
of AI is that same type of that 
or, you know, so right now 

358
00:17:57,840 --> 00:17:59,680
you're getting where people are 
like, you know what, I'm going 

359
00:17:59,680 --> 00:18:01,800
to make my job easier. 
I'm going to take this financial

360
00:18:01,800 --> 00:18:03,440
spreadsheet here. 
I'm going to drop it into 

361
00:18:03,440 --> 00:18:07,160
ChatGPT and I'm going to have to
do my monthly calculations for 

362
00:18:07,160 --> 00:18:09,960
me, and I'm going to turn that 
into my boss of record time. 

363
00:18:11,160 --> 00:18:14,440
You just taught AI what's yours?
You know, what's your, you know,

364
00:18:14,520 --> 00:18:17,320
statement looks like? 
And if you're not in a paid 

365
00:18:17,320 --> 00:18:20,240
subscription where the 
confidentiality and things like 

366
00:18:20,240 --> 00:18:22,720
that, that data has been 
learned, that data can be 

367
00:18:22,720 --> 00:18:25,880
disseminated, you know, search. 
Yeah, it can be uploaded into 

368
00:18:26,360 --> 00:18:28,400
the chat engine. 
It's what? 

369
00:18:29,280 --> 00:18:33,160
And so you're saying, you know, 
businesses should standardize, 

370
00:18:33,160 --> 00:18:35,920
standardize on AI workflow, just
like you know what we talked 

371
00:18:35,920 --> 00:18:38,720
about, we standardize on the 
computers that we put in place. 

372
00:18:38,720 --> 00:18:41,240
So the firewalls that we use, 
you know, the cyber, you know, 

373
00:18:41,240 --> 00:18:43,360
training materials that you 
everything standardized. 

374
00:18:43,880 --> 00:18:47,040
Businesses should be looking to 
standardize or AI practices and 

375
00:18:47,040 --> 00:18:50,480
what they're using, what engines
they're using it for, if that 

376
00:18:50,480 --> 00:18:53,200
data is being, you know, 
protected, if it's, you know, 

377
00:18:53,200 --> 00:18:56,960
vulnerable, because now, you 
know, the hackers are using AI 

378
00:18:57,240 --> 00:19:00,040
to learn about businesses and 
all the information that is in 

379
00:19:00,040 --> 00:19:02,520
the engines that record speed, 
right? 

380
00:19:02,520 --> 00:19:06,280
So whatever you're free to get 
into the machine is learning and

381
00:19:06,280 --> 00:19:08,240
it's, you know, can be parsed, 
you know, learning to be 

382
00:19:08,240 --> 00:19:10,920
searched and to be used and so 
used. 

383
00:19:10,920 --> 00:19:12,360
Against you. 
For that used. 

384
00:19:12,360 --> 00:19:15,480
Against you and so you got to be
careful what you're teaching and

385
00:19:15,480 --> 00:19:18,360
you got to make sure that you 
have you know close 

386
00:19:18,360 --> 00:19:20,640
subscriptions that are to your 
business and then everybody 

387
00:19:20,640 --> 00:19:23,240
looks at it and this is you're 
going right back to where we 

388
00:19:23,240 --> 00:19:26,240
were you know 10 years ago in IT
when someone's like well I don't

389
00:19:26,240 --> 00:19:30,200
want to buy a copilot license 
for $35 per user per month OK 

390
00:19:31,080 --> 00:19:33,360
here's the free versions and 
just put all your information 

391
00:19:33,360 --> 00:19:36,720
out there let's help research it
and then take $300,000 a year 

392
00:19:36,720 --> 00:19:41,000
because they you know learned to
bring a bunch of business and 

393
00:19:41,120 --> 00:19:44,520
you see it on social media what 
was the Elena's saying that they

394
00:19:44,520 --> 00:19:46,560
just had where they had the 
character created and it would 

395
00:19:46,560 --> 00:19:50,480
show like you know your diploma 
to show what you do for a living

396
00:19:50,480 --> 00:19:53,680
that'll show your dog there what
kind of dog you have so that 

397
00:19:53,680 --> 00:19:57,120
picture was worth 1000 words 
everybody's went through created

398
00:19:57,120 --> 00:20:01,600
that and they're like those 
trends are created to garner 

399
00:20:01,600 --> 00:20:03,560
information about you so it 
could be socially. 

400
00:20:04,240 --> 00:20:06,080
Engineered now they know your 
daughter Bud's name. 

401
00:20:06,080 --> 00:20:07,400
They know where you went to 
college. 

402
00:20:07,720 --> 00:20:10,480
Got me your birthday when? 
You, your profession, you know. 

403
00:20:11,200 --> 00:20:14,320
Yeah, it's it's like those 
social media posts where it's 

404
00:20:14,320 --> 00:20:17,200
like 10 questions, right? 
Like what's your favorite color?

405
00:20:17,400 --> 00:20:19,640
You know all those. 
Where security questions when 

406
00:20:19,640 --> 00:20:22,160
you log into your bank, where 
did you meet your spouse? 

407
00:20:22,480 --> 00:20:23,960
That's right in the I was like, 
you're put it. 

408
00:20:24,280 --> 00:20:28,240
So your secret questions is a 
social media trap and people 

409
00:20:28,240 --> 00:20:29,640
don't realize it. 
That's the same thing. 

410
00:20:29,720 --> 00:20:32,720
The AI stuff that's just, hey, 
show me your AI character. 

411
00:20:32,720 --> 00:20:34,280
Oh, I guess everybody else is 
doing it. 

412
00:20:35,680 --> 00:20:38,080
That's being done is wild. 
And so. 

413
00:20:38,080 --> 00:20:40,760
Yeah. 
I know I've been reading a lot 

414
00:20:40,760 --> 00:20:48,360
about Claude bots and like AI 
agentic equity AI agents that 

415
00:20:48,360 --> 00:20:50,720
people are putting on their 
laptop to do all and you can get

416
00:20:50,720 --> 00:20:53,120
it full autonomy and it's like 
sending emails like you do 

417
00:20:53,360 --> 00:20:57,920
different stuff and it's like. 
Yeah, but that's to be right now

418
00:20:57,920 --> 00:21:03,560
at the stage that it's at is 
wild because so like we're like 

419
00:21:03,560 --> 00:21:05,000
I said, I'd be lying up. 
I said I don't use AI. 

420
00:21:05,000 --> 00:21:09,000
We use, we use it a lot. 
We use it a lot, but that's 

421
00:21:09,000 --> 00:21:11,600
foundational stuff that in my 
opinion, technology should 

422
00:21:11,600 --> 00:21:15,640
enhance your you know, you're 
you're, you know, given there it

423
00:21:15,640 --> 00:21:19,560
is, right? 
And AI is really good for 

424
00:21:19,560 --> 00:21:23,080
creating the foundation of what 
you're trying to create. 

425
00:21:23,080 --> 00:21:25,160
Story. 
You know, we still would like to

426
00:21:25,160 --> 00:21:28,080
see people, you know, retain 
their creativity, right? 

427
00:21:28,080 --> 00:21:30,120
Yeah. 
Use the AI to speed up that 

428
00:21:30,120 --> 00:21:33,120
creativity. 
Absolutely embrace that, right? 

429
00:21:33,120 --> 00:21:35,800
Use that to create a better 
product, a better endpoint, to 

430
00:21:36,360 --> 00:21:39,600
shorten the time frame that it 
takes you to get to a business 

431
00:21:39,600 --> 00:21:40,800
outcome. 
Right. 

432
00:21:40,840 --> 00:21:42,760
And that's what we're really, 
you know, trying to help our 

433
00:21:42,760 --> 00:21:45,000
customers with is like, let's 
not be scared of it. 

434
00:21:45,240 --> 00:21:48,880
You know, let's use it 
responsibly and then let's use 

435
00:21:48,880 --> 00:21:55,920
it not to, you know, limit your 
team's natural given abilities 

436
00:21:55,920 --> 00:22:00,360
and creativity. 
And you know, AII use I would 

437
00:22:00,360 --> 00:22:02,560
use very prickly for a lot of 
you know, customer things. 

438
00:22:02,800 --> 00:22:05,880
I I will feed dated. 
We have a private closed, you 

439
00:22:05,880 --> 00:22:09,520
know, a copilot subscription 
that is based to our Microsoft 

440
00:22:09,520 --> 00:22:13,280
tenancy. 
It is not publicly accessible 

441
00:22:13,400 --> 00:22:16,360
and we were used up there where 
we were well feed in some 

442
00:22:16,360 --> 00:22:19,040
analytics and say OK, we need 
these reports for these meetings

443
00:22:19,040 --> 00:22:20,840
and so on like that. 
We build that. 

444
00:22:21,160 --> 00:22:24,320
We still have to review it. 
AI is still being taught by us. 

445
00:22:24,320 --> 00:22:26,560
All you do, it gets more 
accurate every time we do this. 

446
00:22:27,800 --> 00:22:31,080
And it does help, you know, put 
together and help us see trends 

447
00:22:31,080 --> 00:22:33,640
quicker. 
Yeah, it does help us see 

448
00:22:33,640 --> 00:22:37,720
network events quicker. 
So it is very, very good. 

449
00:22:38,160 --> 00:22:41,720
But we've also done this very 
responsibly over the last, you 

450
00:22:41,720 --> 00:22:43,600
know, 12 to 18 months. 
It's not something I would just 

451
00:22:43,600 --> 00:22:46,240
say, hey, just start taking 
these, let's start throwing it 

452
00:22:46,240 --> 00:22:48,280
in there and hey, do our job for
us. 

453
00:22:48,280 --> 00:22:52,440
Because then that that becomes 
we're, we're hands off and then 

454
00:22:52,440 --> 00:22:55,640
we're not driving any valley. 
And so you still want the human 

455
00:22:55,640 --> 00:22:57,640
to interpret and say, I, you 
know, these are some things that

456
00:22:57,640 --> 00:23:00,280
we need to do. 
Yeah, I agree fully. 

457
00:23:00,280 --> 00:23:05,840
I mean, I, I can easily say that
I spent four or five hours a day

458
00:23:06,280 --> 00:23:09,560
using AI for different 
activities in our business and 

459
00:23:10,440 --> 00:23:13,560
the, there's not a single 
conversation I had. 

460
00:23:13,560 --> 00:23:16,400
I, I primarily use Quad and 
there's not a single 

461
00:23:16,400 --> 00:23:19,240
conversation that I have with 
Quad where I don't have I, I'm 

462
00:23:19,240 --> 00:23:23,200
looking at what flaw is giving 
me and I have to say, hey, that 

463
00:23:23,200 --> 00:23:26,280
doesn't seem right to me. 
Can you please cross reference 

464
00:23:26,280 --> 00:23:28,680
that against these other things 
and it comes back, oh, you're 

465
00:23:28,680 --> 00:23:32,800
right, I missed this I and it 
makes they all make mistakes. 

466
00:23:32,800 --> 00:23:34,680
So it's it's certainly is not 
that. 

467
00:23:35,120 --> 00:23:37,080
Yes. 
Without without error. 

468
00:23:37,120 --> 00:23:40,440
For AI to be it's most 
effective, you, you have to 

469
00:23:40,440 --> 00:23:42,240
train and you have to correct 
it. 

470
00:23:42,800 --> 00:23:46,000
Then you have to make sure that 
what you're putting in isn't 

471
00:23:46,000 --> 00:23:48,000
given, you know, especially from
a business perspective. 

472
00:23:48,320 --> 00:23:50,880
If you're if you're an 
inexperienced business owner and

473
00:23:50,880 --> 00:23:54,480
you're letting AI give you 
projections, there might be some

474
00:23:54,480 --> 00:23:56,080
things that AI hasn't learned 
yet. 

475
00:23:56,760 --> 00:23:58,880
Same thing with cybersecurity. 
Like, you know, I see all these 

476
00:23:58,880 --> 00:24:01,120
things where it's like, oh, we 
have a cyber, you know, engine 

477
00:24:01,120 --> 00:24:02,640
in the background. 
It's like, yeah, but you should 

478
00:24:02,760 --> 00:24:04,760
still have something really 
smart looking over that. 

479
00:24:06,200 --> 00:24:09,520
He should still, you know, have 
a human being that has 20 years 

480
00:24:09,520 --> 00:24:11,800
of experience as AI doesn't have
20 years of experience yet. 

481
00:24:11,920 --> 00:24:13,880
That's right. 
Now, the beauty of AI is that 

482
00:24:13,880 --> 00:24:15,400
you have a lot of people feeding
the information. 

483
00:24:15,400 --> 00:24:19,120
So we can close that gap pretty 
quick and they'll get there, you

484
00:24:19,240 --> 00:24:21,080
know, with with it has some its 
accuracies. 

485
00:24:21,080 --> 00:24:24,520
That's and that's you know what?
What It is artificial for a 

486
00:24:24,520 --> 00:24:25,400
reason. 
Yeah. 

487
00:24:25,400 --> 00:24:28,840
Well, that's like with the new 
workflow automation stuff that 

488
00:24:28,840 --> 00:24:33,280
we're doing, AI is helping us 
with solution design to get 

489
00:24:33,280 --> 00:24:35,960
there a lot faster. 
However, we still need to have 

490
00:24:35,960 --> 00:24:39,200
our software engineer reviewing 
that solution to make sure that 

491
00:24:39,200 --> 00:24:44,520
it is accurate and is not like 
on a couple of instances we're 

492
00:24:44,520 --> 00:24:48,160
getting back a solution design 
and so horribly complicated and 

493
00:24:48,160 --> 00:24:51,040
has bits and parts and things 
that's like that doesn't even be

494
00:24:51,040 --> 00:24:53,400
in there. 
And so let's, we can remove that

495
00:24:53,400 --> 00:24:57,280
whole thing from this. 
And if you were just trusting AI

496
00:24:57,280 --> 00:24:59,720
fully with what it's giving you 
and then just acting on it, you 

497
00:24:59,720 --> 00:25:00,920
might be making some bad 
decisions. 

498
00:25:00,920 --> 00:25:02,880
Yeah, we have, we have a full 
time position that that's all 

499
00:25:02,880 --> 00:25:05,360
they do. 
So anything that goes into our 

500
00:25:05,680 --> 00:25:08,000
cyber ranches, anything that 
goes to our security operation 

501
00:25:08,000 --> 00:25:11,600
center, any of those alerts that
is still you know looked at by 

502
00:25:11,720 --> 00:25:13,080
first by a unit. 
Yes. 

503
00:25:13,280 --> 00:25:15,600
Looking for those areas just 
just one thing that AI is not 

504
00:25:15,600 --> 00:25:18,040
really good at detecting at 
times is some of the false 

505
00:25:18,120 --> 00:25:21,520
positives. 
Now, as we train that it's 

506
00:25:21,520 --> 00:25:26,000
better, you know, but because 
some of these, you know, some of

507
00:25:26,000 --> 00:25:27,640
these engines, you look for 
impossible travel, right? 

508
00:25:27,640 --> 00:25:30,600
And impossible travel is 
essentially can I log in from 

509
00:25:30,600 --> 00:25:35,800
multiple places in a without a 
certain amount of time and that 

510
00:25:35,800 --> 00:25:39,360
be a valid log. 
Now, you know, so if, if you're 

511
00:25:39,360 --> 00:25:44,720
logging in from New York, New 
Jersey and Miami, FL 3 times in 

512
00:25:44,720 --> 00:25:48,160
18 minutes, that's, that's a 
possible travel right there. 

513
00:25:48,200 --> 00:25:51,560
There isn't anything known to, 
you know, the man that can get 

514
00:25:51,560 --> 00:25:55,560
you from New York and New Jersey
to Miami in 18 minutes. 

515
00:25:55,560 --> 00:25:57,320
Yeah. 
Well, we have that too with we 

516
00:25:57,320 --> 00:26:00,400
had multiple team members that 
have to log in the systems and 

517
00:26:00,400 --> 00:26:03,320
they're like, let's just say 
it's a Google e-mail address and

518
00:26:03,320 --> 00:26:05,560
I've got four different people 
that are logging into that 

519
00:26:05,560 --> 00:26:07,240
e-mail address are different 
reasons. 

520
00:26:07,400 --> 00:26:12,560
And they're all a a good like 
impossible and would not be able

521
00:26:12,560 --> 00:26:15,440
to cover that distance in the 
two minutes difference. 

522
00:26:15,440 --> 00:26:16,960
Right. 
So those are what we either call

523
00:26:16,960 --> 00:26:19,520
white noise or false positives. 
And then so that person will 

524
00:26:19,520 --> 00:26:23,520
say, hey, these events right 
here, those are we have 

525
00:26:23,520 --> 00:26:26,440
customers that when they access 
data on their mobile device, 

526
00:26:26,440 --> 00:26:29,720
they use an anonymizer or use, 
you know, VPN technologies. 

527
00:26:30,280 --> 00:26:32,720
And it's like, well, OK, when 
you're using an anonymizer 

528
00:26:32,720 --> 00:26:35,920
that's showing you're coming 
from IP address in London and 

529
00:26:35,960 --> 00:26:38,200
that's, that's an impossible 
travel. 

530
00:26:38,920 --> 00:26:41,720
So we have to, you know, start 
curbing people's behaviors of 

531
00:26:41,920 --> 00:26:44,720
and even accessibility. 
We've brought that to a lot of 

532
00:26:44,720 --> 00:26:46,800
customers. 
You don't you want these people 

533
00:26:46,800 --> 00:26:49,080
to have access to this is when 
they're accessing their data. 

534
00:26:50,040 --> 00:26:56,560
So on one hand, you have AI, you
know, tools that are analyzing 

535
00:26:56,560 --> 00:26:58,520
all the about launch, which is 
very good, right? 

536
00:26:58,520 --> 00:27:01,600
That's very tough for humans to 
go through and look across to 

537
00:27:01,600 --> 00:27:04,840
your customer base and say, hey,
these people are logging in over

538
00:27:04,840 --> 00:27:07,800
here and send them an alert. 
So that's a good part of AI bad 

539
00:27:07,800 --> 00:27:09,760
part there is it's not smarting 
off the knowing times. 

540
00:27:09,760 --> 00:27:14,000
If that's a, you know, if that's
an anonymizer, that's not really

541
00:27:14,000 --> 00:27:16,480
impossible travel that's coming 
from here. 

542
00:27:17,240 --> 00:27:22,000
So we just we tune that and how 
many, how, how many files they 

543
00:27:22,000 --> 00:27:24,360
delete. 
We, we message for or, or we, we

544
00:27:24,360 --> 00:27:27,880
monitor for mass file deletion, 
mass file uploads, because that 

545
00:27:27,880 --> 00:27:30,760
shows criminal, you know, 
provential, you know, criminal 

546
00:27:30,760 --> 00:27:32,360
activity, right? 
We're we're taking data. 

547
00:27:33,000 --> 00:27:36,200
However, people have their 
phones linked to their OneDrive.

548
00:27:37,400 --> 00:27:39,680
If you're an engineering company
or you're a construction 

549
00:27:39,680 --> 00:27:42,720
company, you might be taking 
pictures of a house that you 

550
00:27:42,720 --> 00:27:45,880
just finished and a eyes more. 
Oh, there was just all these 

551
00:27:45,880 --> 00:27:48,480
files just uploaded. 
Well, you just took 30 pictures 

552
00:27:48,480 --> 00:27:51,520
of a house that you're going to 
sell or or you're going to put 

553
00:27:51,520 --> 00:27:52,960
on your website for the 
marketing. 

554
00:27:53,520 --> 00:28:01,080
So AI good told us that there is
a mass file upload wasn't smart 

555
00:28:01,080 --> 00:28:02,600
enough to know that they're a 
construction company. 

556
00:28:02,920 --> 00:28:06,080
So train those behaviors. 
We, you know, do that. 

557
00:28:06,080 --> 00:28:11,920
That's how currently you should 
be handling your Pro Sega. 

558
00:28:12,520 --> 00:28:19,720
You know, it's every day I piss 
and moan about having this two 

559
00:28:20,320 --> 00:28:24,000
factor authentication stuff pop 
up in my phone because my team 

560
00:28:24,000 --> 00:28:26,720
is accessing something. 
I'm going to stop pissing and 

561
00:28:26,720 --> 00:28:28,600
moaning about it now that you've
told me about the impossible 

562
00:28:28,600 --> 00:28:30,520
travel. 
I thought it was just the system

563
00:28:30,520 --> 00:28:33,800
being a pain in my ass, not 
realizing that what it's 

564
00:28:33,800 --> 00:28:36,800
actually doing is saying like, 
hey, you've got a login in 

565
00:28:36,800 --> 00:28:39,280
Clifton Park, a login in 
Schenectady, a login in 

566
00:28:39,280 --> 00:28:42,800
Queensbury, a login in Ballston 
Spa, Greenfield, You know, like 

567
00:28:43,040 --> 00:28:45,880
it's all these different 
geographies around the area and 

568
00:28:45,880 --> 00:28:47,760
it's actually flagging that. 
I never knew that. 

569
00:28:48,080 --> 00:28:51,200
Even MFA to be defeated, right? 
You know, you can get you get a 

570
00:28:51,200 --> 00:28:54,080
session token, you can get in 
between that and you have a 

571
00:28:54,080 --> 00:28:57,760
limited time to login. 
But if that does happen, that's 

572
00:28:57,760 --> 00:29:00,040
still going to tell you that 
like, hey, if that person is 

573
00:29:00,040 --> 00:29:02,720
monitoring, yeah, because it was
just, you know, code that's on 

574
00:29:02,720 --> 00:29:03,840
here. 
And then they're going to launch

575
00:29:03,840 --> 00:29:08,520
it from, you know, play a data 
center that they have in, you 

576
00:29:08,520 --> 00:29:10,240
know, Los Angeles that's still 
good. 

577
00:29:10,240 --> 00:29:11,600
Let's get along that if 
possible, travel. 

578
00:29:11,600 --> 00:29:14,720
So you're still have that 
looking for them, the ITDI, 

579
00:29:14,720 --> 00:29:18,200
right? 
So you're able to look at all 

580
00:29:18,200 --> 00:29:20,880
these events going across 
multiple platforms. 

581
00:29:20,880 --> 00:29:24,840
So right now our monitoring, we 
look at, you know, not only 

582
00:29:24,840 --> 00:29:29,520
e-mail, cloud and the endpoint 
so that all those events are 

583
00:29:29,520 --> 00:29:32,840
correlated. 
So it's called seams system or 

584
00:29:32,840 --> 00:29:34,800
system identity and alerts and 
management, right? 

585
00:29:34,800 --> 00:29:38,360
So it'll look through all these 
systems, all these alerts across

586
00:29:38,400 --> 00:29:42,640
firewalls, across, you know, 
across desktops, across your 

587
00:29:42,640 --> 00:29:47,520
cloud one it'll, it'll take all 
those events, correlate that and

588
00:29:47,520 --> 00:29:49,200
say something doesn't add up 
here. 

589
00:29:50,040 --> 00:29:52,160
And then that also keeps 
timestamps, right? 

590
00:29:52,240 --> 00:29:56,640
If you have, if you have an 
event and you have to provide 

591
00:29:56,640 --> 00:29:59,200
forensics in your type of 
industry, we have the time 

592
00:29:59,200 --> 00:30:02,320
stamps that go across where all 
the stuff happened, how it 

593
00:30:02,320 --> 00:30:04,200
exactly how it happened. 
So you know, The Who, why, 

594
00:30:04,200 --> 00:30:07,160
where, why, how of that. 
So that should save you some 

595
00:30:07,160 --> 00:30:10,240
money on your forensics, you 
know all those, you know, all 

596
00:30:10,240 --> 00:30:14,600
those types of events. 
So AI is good in those aspects. 

597
00:30:14,600 --> 00:30:17,840
It can do all those things now 
very cheaply versus, you know, 

598
00:30:17,840 --> 00:30:20,080
back in the days working with 
the banks, we used to have the 

599
00:30:20,080 --> 00:30:24,920
train, you know, same solutions 
for months, if not for years, 

600
00:30:25,600 --> 00:30:29,080
going through logs manually. 
Now AI is doing that on the fly.

601
00:30:29,520 --> 00:30:30,440
In minutes. 
Right. 

602
00:30:30,440 --> 00:30:34,800
And alerting you it's parsing 
white noise from. 

603
00:30:35,520 --> 00:30:40,320
These are actionable activities 
that need that need human 

604
00:30:40,440 --> 00:30:42,800
interaction. 
And then you go through and. 

605
00:30:43,360 --> 00:30:45,960
So it's like any cool, right? 
Like a, you know, a hammer. 

606
00:30:45,960 --> 00:30:47,200
You can build a house with a 
hammer. 

607
00:30:47,200 --> 00:30:48,960
You can also hit somebody over 
the head and with it, right? 

608
00:30:48,960 --> 00:30:51,960
Like so. 
Yeah. 

609
00:30:51,960 --> 00:30:54,000
So it can be, you know, to be 
productive, working short. 

610
00:30:54,320 --> 00:30:57,280
Yeah, or destructive. 
Yeah, so, so I know we're 

611
00:30:57,280 --> 00:31:00,560
getting short on time, but I, I 
do want to spend a couple 

612
00:31:00,560 --> 00:31:03,120
minutes talking about this 
amazing new office that you're 

613
00:31:03,120 --> 00:31:06,200
in, right. 
This place is really cool, 

614
00:31:07,520 --> 00:31:11,440
beautiful fun. 
Obviously you got a coffee shop 

615
00:31:11,440 --> 00:31:13,400
next door, so that helps with 
productivity. 

616
00:31:13,400 --> 00:31:17,640
But tell me about the new 
location and about what what the

617
00:31:17,640 --> 00:31:19,440
new location is doing for you as
business. 

618
00:31:19,880 --> 00:31:25,080
Yeah, I mean, so this, the dream
of this business has never been 

619
00:31:25,080 --> 00:31:27,760
about making money. 
It's always been about, you 

620
00:31:27,880 --> 00:31:30,920
know, people and outcomes. 
I I, I generally, I like helping

621
00:31:30,920 --> 00:31:34,080
people. 
Skill set I had was technology. 

622
00:31:34,080 --> 00:31:37,600
I used to love going in and 
fixing problems that people 

623
00:31:37,600 --> 00:31:40,040
couldn't figure out, right. 
I love the needle in the 

624
00:31:40,040 --> 00:31:42,720
haystack and finding that and, 
and getting the bottom of it. 

625
00:31:43,360 --> 00:31:47,960
And, you know, we existed it in 
Washington County for for a 

626
00:31:47,960 --> 00:31:50,760
long, long time where I grew up.
I'm a third generation raised in

627
00:31:50,760 --> 00:31:54,880
the 4th generation there and 
always wanted to do it there. 

628
00:31:54,880 --> 00:31:56,840
I've always had my eye on this 
building. 

629
00:31:57,720 --> 00:32:00,080
I've inquired about it a number 
of times over the years. 

630
00:32:00,080 --> 00:32:01,920
And I and I wanted to build a 
corporate headquarters in 

631
00:32:01,920 --> 00:32:04,360
Washington County. 
And just on the card right now, 

632
00:32:04,360 --> 00:32:06,400
we don't have the infrastructure
to do the things that we need to

633
00:32:06,400 --> 00:32:09,840
do to make that dream a reality.
So I said when I was talking to 

634
00:32:09,840 --> 00:32:12,760
somebody else, I said, sometimes
you get the, you know, create 

635
00:32:12,760 --> 00:32:15,000
the dream and sometimes you get 
to join somebody's dream. 

636
00:32:15,600 --> 00:32:20,080
So when Brian and Ben, I saw 
their, you know, their article, 

637
00:32:20,680 --> 00:32:23,000
you know, and saw them, you 
know, say, hey, the place has 

638
00:32:23,000 --> 00:32:26,520
been bought and they're going 
through stop out here and talk 

639
00:32:26,520 --> 00:32:29,840
to him and, and went through, 
you know, kind of, you know, 

640
00:32:29,840 --> 00:32:32,280
walked through the building with
Brian and Brock. 

641
00:32:32,600 --> 00:32:35,520
He does most of the, you know, 
he's more part of a creative 

642
00:32:35,520 --> 00:32:37,480
process around here. 
And I still know the building. 

643
00:32:38,120 --> 00:32:40,640
So he and I walked you. 
We started exchanging some ideas

644
00:32:40,640 --> 00:32:42,320
and we're going, yeah, you could
do this, you do that, you could 

645
00:32:42,320 --> 00:32:46,520
do this. 
And and we're like, you know, 

646
00:32:47,080 --> 00:32:50,840
this is the tie. 
You know, we, we, we look at 

647
00:32:50,840 --> 00:32:54,240
everything as it goes. 
You know, this is more central 

648
00:32:54,240 --> 00:32:59,040
to our customers. 
This is puts us 15 minutes 

649
00:32:59,040 --> 00:33:02,360
closer to 300,000 people in the,
you know, our talent pool. 

650
00:33:02,360 --> 00:33:04,720
It's bigger. 
Open us up to a nice short drive

651
00:33:04,720 --> 00:33:08,160
to go to the park area, Albany 
area shorter, you know, drives 

652
00:33:08,160 --> 00:33:11,480
to our customers. 
So from a business perspective 

653
00:33:12,520 --> 00:33:16,240
that works well, right? 
The dream that we wanted to 

654
00:33:16,240 --> 00:33:20,960
create was a mixed-use building 
where we had other businesses 

655
00:33:20,960 --> 00:33:23,680
that would be synergetic to our 
employees and create a good 

656
00:33:23,680 --> 00:33:27,920
environment for them. 
And this this place created that

657
00:33:28,240 --> 00:33:30,160
right? 
You know, having Stinky's coffee

658
00:33:30,160 --> 00:33:32,480
next door and having, you know, 
you can get your haircuts here. 

659
00:33:32,480 --> 00:33:34,680
You can, you know, and then 
there's some other stuff. 

660
00:33:34,680 --> 00:33:36,520
I'll guess Brian probably would 
want me to yell some other 

661
00:33:36,520 --> 00:33:38,400
things that are coming in here. 
I'll leave that can't. 

662
00:33:38,400 --> 00:33:39,640
Talk about it. 
He can't talk about that. 

663
00:33:39,880 --> 00:33:43,960
But they're just, you know, it's
good culture based off and as 

664
00:33:43,960 --> 00:33:46,680
you, you asked earlier like what
have we been doing to this 

665
00:33:46,680 --> 00:33:49,400
business? 
It was really pivoted, right. 

666
00:33:49,560 --> 00:33:53,840
So in that discussion we kind of
just talked about the customer 

667
00:33:53,840 --> 00:33:56,280
outcome base basing that we did.
But one of the other things that

668
00:33:56,280 --> 00:33:58,640
we've addressed of the company 
in the last three or four years,

669
00:33:58,640 --> 00:34:04,520
five years is culture. 
Culture is one of the most 

670
00:34:04,520 --> 00:34:06,800
important things to successful 
client outcomes. 

671
00:34:07,360 --> 00:34:11,239
Our employee retention is, I 
mean, right now we only have one

672
00:34:11,239 --> 00:34:14,360
person on the staff that's been 
here less than a year and I 

673
00:34:14,360 --> 00:34:15,840
think that'll be up in like 10 
days. 

674
00:34:15,960 --> 00:34:19,239
Everybody else has been here for
three or four or five years, six

675
00:34:19,239 --> 00:34:22,360
years. 
And that's familiar faces for 

676
00:34:22,360 --> 00:34:24,560
our customers. 
That's good tribal knowledge. 

677
00:34:24,560 --> 00:34:26,400
We know where everything is and 
our customers. 

678
00:34:26,880 --> 00:34:29,199
But that speaks a lot to the 
culture that we've created here.

679
00:34:29,320 --> 00:34:31,719
We're, we're looking for great 
human beings first. 

680
00:34:32,520 --> 00:34:37,280
And we'll train the skills. 
We will use our tools to enhance

681
00:34:37,280 --> 00:34:38,800
their skills. 
We will train them. 

682
00:34:38,800 --> 00:34:41,800
We will get that better. 
This allows us to do that right.

683
00:34:41,800 --> 00:34:45,800
This gives our team more, you 
know, food choices closer to, 

684
00:34:45,840 --> 00:34:47,639
you know, get your car washed 
right next door. 

685
00:34:47,679 --> 00:34:49,040
You know, gas is right across 
the street. 

686
00:34:49,719 --> 00:34:55,239
Time is a form of currency. 
And that dream was to do that, 

687
00:34:55,239 --> 00:34:58,360
which provided an experience for
our team to just hey, during my 

688
00:34:58,360 --> 00:35:00,320
lunch break, I'm going to get my
haircut and I don't have to do 

689
00:35:00,320 --> 00:35:02,080
that after work. 
I could go spend more time with 

690
00:35:02,080 --> 00:35:03,240
my kids. 
I could get to the ball game 

691
00:35:03,240 --> 00:35:05,200
quicker. 
I could, you know, grab food 

692
00:35:05,200 --> 00:35:06,960
right here. 
I can have food doordashed here.

693
00:35:06,960 --> 00:35:10,120
I can have Instacart right here,
put in my car, drive home, 

694
00:35:10,120 --> 00:35:12,600
Grabble Timmy, grabble Jane, 
right? 

695
00:35:12,840 --> 00:35:15,680
And you know, time is a form of 
currency now. 

696
00:35:15,800 --> 00:35:18,360
People want everything 
yesterday. 

697
00:35:18,360 --> 00:35:20,640
This puts us closer to our 
customers so we can serve them 

698
00:35:20,640 --> 00:35:22,720
faster. 
This puts us into a more 

699
00:35:22,720 --> 00:35:25,200
centralized location for our 
team to have a better experience

700
00:35:25,200 --> 00:35:29,560
for them to get here quicker 
and, you know, get to some 

701
00:35:29,600 --> 00:35:31,360
ancillary things that they want 
a little quicker. 

702
00:35:31,440 --> 00:35:35,520
So Ben and Brian, I can't, you 
know, tip the ass of them. 

703
00:35:35,520 --> 00:35:37,000
They did a great job, amazing 
job. 

704
00:35:37,000 --> 00:35:40,960
They were very accommodating to,
you know, if you ask Brian, he 

705
00:35:40,960 --> 00:35:43,560
might not have to now he we all 
along well, but I'll say, but 

706
00:35:43,560 --> 00:35:47,000
we, we hey, can we do this? 
Can we do that on the ceiling? 

707
00:35:47,040 --> 00:35:51,240
I want to they did a perfect job
of accommodating this and making

708
00:35:51,240 --> 00:35:53,160
sure that we're going to be 
successful here and everybody's 

709
00:35:53,160 --> 00:35:56,320
going to love the space and the 
team loves the space. 

710
00:35:56,440 --> 00:35:59,960
And we've had so much traffic 
coming into this building from 

711
00:35:59,960 --> 00:36:02,720
people going into stinkies and 
these guys have been great. 

712
00:36:04,160 --> 00:36:06,960
You know, the salon next door 
was there great people, the, you

713
00:36:06,960 --> 00:36:08,920
know, Barber shop down the way. 
They're great people. 

714
00:36:10,160 --> 00:36:11,920
So that's, that's been, that's 
been awesome. 

715
00:36:12,200 --> 00:36:16,520
And we, we really love the space
and we, we love the exposure. 

716
00:36:17,000 --> 00:36:20,440
So we we could be happier with 
the decision, you know, even 

717
00:36:20,440 --> 00:36:23,720
though there was some 
reservations of, you know, 

718
00:36:23,720 --> 00:36:28,000
leaving the hometown and the 
home counting, but I I think 

719
00:36:28,320 --> 00:36:31,720
more business respective it was.
Right, make a lot of status. 

720
00:36:31,840 --> 00:36:36,040
Well, it it's amazing location 
and again at, you know, car 

721
00:36:36,040 --> 00:36:39,640
count out there, I mean there's 
got to be thousands of cars go 

722
00:36:39,640 --> 00:36:42,160
down that road every day. 
I think the the traffic study 

723
00:36:42,160 --> 00:36:47,200
day was 32. 1032 thousand a day 
whole I mean this whole corridor

724
00:36:47,200 --> 00:36:51,960
has become really like yeah busy
and happening you. 

725
00:36:52,080 --> 00:36:53,880
Know, well, and that's what 
you're talking about, right, 

726
00:36:53,880 --> 00:36:56,000
from an economic standpoint, 
economic development standpoint,

727
00:36:56,000 --> 00:36:59,680
right They, they built the you 
know, sewer water down through 

728
00:36:59,680 --> 00:37:01,880
here a few years ago and now 
you're starting to see all the 

729
00:37:01,880 --> 00:37:04,680
newer buildings pop up and it's 
just that's just something 

730
00:37:04,680 --> 00:37:09,360
that's that was really the the 
the determining factor for us. 

731
00:37:09,400 --> 00:37:12,520
And like I said, we looked at 
this building for 10 years and 

732
00:37:12,560 --> 00:37:14,480
when you see what the job that 
they were doing, well, they were

733
00:37:14,480 --> 00:37:16,040
like, yeah, yeah, we, we need to
be here. 

734
00:37:16,400 --> 00:37:18,840
Oh, and it's, they do, like I 
said, I've done a great job. 

735
00:37:18,840 --> 00:37:21,000
And we're looking forward to 
the, you know, the last 7 

736
00:37:21,000 --> 00:37:25,000
tendencies, you know, get built 
out here and adding even more 

737
00:37:25,000 --> 00:37:27,960
value, you know, to our team and
to this, you know, to the, this 

738
00:37:27,960 --> 00:37:32,040
community that's really welcomed
us, you know, so, you know, it's

739
00:37:33,440 --> 00:37:36,680
the, the local chambers have 
been really accommodating and, 

740
00:37:36,680 --> 00:37:39,640
you know, you know, we're really
welcoming, you know, to our, to 

741
00:37:39,640 --> 00:37:41,720
our new move. 
So that's been great as well. 

742
00:37:41,720 --> 00:37:44,480
So. 
Yeah, and plans for Fitzgerald 

743
00:37:44,480 --> 00:37:47,360
Brothers here for Saint 
Patrick's Day on Tuesday. 

744
00:37:47,360 --> 00:37:51,400
I mean, it's a stone's throw 
down the road for corned beef 

745
00:37:51,480 --> 00:37:52,440
Blue Boris. 
Yeah, yeah. 

746
00:37:54,400 --> 00:37:55,840
With the corned beef. 
With the corned beef we got. 

747
00:37:55,840 --> 00:37:57,160
Those corned beef series of 
gear. 

748
00:37:58,200 --> 00:38:00,160
Well, listen, I really 
appreciate taking the time. 

749
00:38:00,160 --> 00:38:02,960
I know you got a lot going on, 
so taking an hour out to talk to

750
00:38:02,960 --> 00:38:05,560
us. 
Appreciate your time as well. 

751
00:38:05,680 --> 00:38:08,360
I mean, it was only. 
No, it's, I'll tell you, you 

752
00:38:08,360 --> 00:38:10,600
know, I mean, we've known each 
other a long time, but watching 

753
00:38:10,600 --> 00:38:13,560
your business and what it's done
over the last 20 years is 

754
00:38:13,720 --> 00:38:15,840
amazing. 
And it's pretty much every 

755
00:38:15,840 --> 00:38:17,560
business owner's dream as far as
I'm aware. 

756
00:38:17,560 --> 00:38:21,920
So, you know, being able to grow
and go and provide for families 

757
00:38:21,920 --> 00:38:24,320
and people and team and 
community and you know, that's 

758
00:38:24,320 --> 00:38:26,200
what it's all about. 
That's that's the main thing, 

759
00:38:26,200 --> 00:38:28,720
right, you know, being able to, 
you know, get back as much as 

760
00:38:28,720 --> 00:38:31,400
you can't help. 
So that take a lot of pride in, 

761
00:38:31,440 --> 00:38:34,360
you know, making sure our team 
is taken care of at, you know, 

762
00:38:34,480 --> 00:38:37,600
and that we go everywhere that 
we absolutely can. 

763
00:38:37,920 --> 00:38:40,120
So yeah, they said we've known 
each other for a long time. 

764
00:38:40,360 --> 00:38:43,560
You know, you've, you've evolved
a few different. 

765
00:38:43,640 --> 00:38:46,840
We all knew s s and that's so. 
And that's a good thing about 

766
00:38:46,840 --> 00:38:50,360
getting to be old men, right? 
You have to look back at. 

767
00:38:50,840 --> 00:38:54,200
It yeah, we know the path, we 
know this tribal and it's and 

768
00:38:54,200 --> 00:38:56,400
your podcast is great. 
You know, I've Ross a lot of it 

769
00:38:56,400 --> 00:39:01,760
online and then get to see you 
guys, you know, have other 

770
00:39:01,760 --> 00:39:04,560
people tell their story, right, 
Because it's amazing how many of

771
00:39:04,560 --> 00:39:09,880
us have been small business 
owners and have very different 

772
00:39:09,880 --> 00:39:12,600
but very similar past. 
And I think it's a very good 

773
00:39:12,600 --> 00:39:16,000
educational piece that you guys 
do to say, hey, this is what the

774
00:39:16,000 --> 00:39:18,560
everyday American goes through 
every day. 

775
00:39:18,640 --> 00:39:19,600
You know, business owner goes 
through. 

776
00:39:19,600 --> 00:39:22,840
When there's so much cannon 
fodder on the national news, you

777
00:39:22,840 --> 00:39:25,240
get a good local source there 
where you guys go through and 

778
00:39:25,240 --> 00:39:28,600
it's like, Hey, I know you look 
at all this nonsense over here, 

779
00:39:28,600 --> 00:39:31,520
but these are real people go 
really real things, real 

780
00:39:31,520 --> 00:39:33,920
struggles, and they're still 
doing everything they can to 

781
00:39:33,960 --> 00:39:36,320
help each other out and doing 
those things. 

782
00:39:36,320 --> 00:39:40,160
I think it people get to focus 
more on this type of stuff, this

783
00:39:40,160 --> 00:39:44,800
type of content, build the the 
greater good of everybody and 

784
00:39:44,800 --> 00:39:48,120
not red or blue type stuff. 
That's that's awesome. 

785
00:39:48,120 --> 00:39:50,680
And so I've been glad to watch 
you guys, you know, bring some 

786
00:39:51,400 --> 00:39:55,240
real good quality content about 
real people doing real things 

787
00:39:55,240 --> 00:39:57,640
with real struggles with real 
results. 

788
00:39:57,640 --> 00:40:01,960
Yeah, I, you know, it's like was
just on with Jacques Equie the 

789
00:40:01,960 --> 00:40:05,360
other day and you know, I was 
saying that I, I truly believe 

790
00:40:05,360 --> 00:40:09,160
that if we all just focused on 
making our local communities 

791
00:40:09,200 --> 00:40:12,680
great, if everybody did that, 
then every community would be 

792
00:40:12,680 --> 00:40:14,440
great. 
And what a world we learn in. 

793
00:40:14,720 --> 00:40:16,680
So I like, I really believe 
you're the news. 

794
00:40:16,680 --> 00:40:20,880
Right off homeless, homeless on 
on your your level group and 

795
00:40:20,880 --> 00:40:22,160
just that's it. 
You know what I mean? 

796
00:40:22,240 --> 00:40:26,680
And I'm not saying like national
things aren't things to be 

797
00:40:26,680 --> 00:40:28,360
worried about, but as what I'm 
saying for the halls part, I 

798
00:40:28,360 --> 00:40:31,960
mean, if you focus it on your 
circle and you're, you know, 

799
00:40:32,160 --> 00:40:36,760
helping your local people, yeah,
it's it seems like things are a 

800
00:40:36,760 --> 00:40:38,720
lot brighter. 
Help your neighbor, help your 

801
00:40:38,720 --> 00:40:41,760
community, buy from local 
businesses makes everybody. 

802
00:40:41,760 --> 00:40:43,760
Well, it's doom and gloom. 
More ridiculous. 

803
00:40:43,880 --> 00:40:46,520
More uplifting. 
Right up her downwards, you 

804
00:40:46,520 --> 00:40:47,160
know? 
So, lover. 

805
00:40:47,560 --> 00:40:48,640
Thank you. 
I appreciate it. 

806
00:40:48,720 --> 00:40:50,360
Yeah. 
Appreciate you appreciate 

807
00:40:50,360 --> 00:40:52,240
everybody of course, for 
listening and watching. 

808
00:40:52,520 --> 00:40:54,880
You know, you can find all of 
our episodes of buying local dot

809
00:40:55,080 --> 00:41:00,600
US podcasts on Spotify, Apple 
Podcasts, Rumble and YouTube. 

810
00:41:00,600 --> 00:41:04,840
Please like, subscribe, leave a 
five star review like those lots

811
00:41:04,960 --> 00:41:07,400
and thanks everybody for 
listening and you'll hear from 

812
00:41:07,400 --> 00:41:07,880
us next week.
