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You're listening to episode 763 of A
VerySpatial Podcast.. June 22nd, 2025,

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run

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Unknown.

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Hello and A VerySpatial
Podcast.. I'm Jesse.

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I'm Sue.

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I'm Barb,

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and this is Frank.

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And this week we're gonna be talking
to Zach Jaffe of Map I.T.. But

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first of course, we have some news.

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First up there were a couple of executive
orders that came outta the United

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States white House that are focused on
small unmanned aerial systems and just

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unmanned aerial systems in general.

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One of them is focused on security of the
airspace and making sure that drones are

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incorporated into that a little bit more.

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Don't really go into details.

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'cause there's lots of them.

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But perhaps the more important one was
one that was already on the table but

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is now getting fast track significantly
is dates have been assigned for the

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progression of beyond visual line of
sight operations in the United States.

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And that of course is one that's, that,
depending on how this goes, could, create

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a much broader set of aerial issues.

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And it's one, you know, the FAA, I
think has been pushing back so that

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they didn't have to deal with it right
away because the technologies aren't

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exactly there yet to, to be able to
deal with finding and seeing drones.

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There's things that are there, but
it's not tied into the, air system yet.

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And it's worth noting that beyond
line of sight, it, it exists now,

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you know, you can do it, you just
have to get an exception for it,

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which means you can file paperwork
and people know and things like that.

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And the companies went, that's way
too much bureaucracy, too much of

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a ha hassle, can we, you know, just
do this without having to get an

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exception to do beyond line of sight.

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And now the FA a's gonna have
to do that, which like Jesse

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said, that's gonna require.

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Technology's embedded within the drone
and also also within aerial platforms of

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all sorts, including planes to say, Hey,
everybody knows where everybody's at.

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So that one I think is the one that's
a little bit more day-to-day impact

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compared to the other executive order.

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We'll see how either of them goes.

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And if you're interested in either,
there's a link of course in the show note,

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and of course you can find the executive
orders themselves and probably the fa

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a's responses to how they're gonna make
these things happen somewhere online.

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And, and just like Jesse said
to start with, they do address

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the security question of DJI
within the executive order.

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So look at that stuff 'cause it's a lot
more what's the word I'm looking for?

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Detailed, finicky.

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Convoluted,

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lots of those words.

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Yeah.

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And Map I.T., of course responded
with, but we are not a Chinese Yes.

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Front.

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So well, I don't know.

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We'll see how it goes.

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And of course we always talk about Map
I.T., but most of these also generally

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reference Chinese built UAVs in general.

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So keep that in mind as well, even though
most of these things talk specifically

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about if it ever becomes true legislation.

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It won't just be TJI.

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Is there

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any non-Chinese made, I'm gonna
say prosumer for lack of a

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better term, drone out there?

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I can't.

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There's a couple in

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the us and of course, now that
I'm thinking about it, I can't

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think of any of the names, but
yeah, there are, there are some.

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And there's the amusing one that is
basically DJI hardware that's being made.

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Quote unquote buy us company
manufactured in Vietnam.

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I think just so it gets around the, the
Chinese thing, but it's still, I mean,

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the hardware is identical to A DJI,
Mavic, whichever one it was three I think.

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So yeah.

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Next up the news Google has released a
bunch of new updates for Google Maps,

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which is, you know we've covered this
so much Google updates to maps that

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understand this happens frequently,
but this is kind of a cool update.

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It's around helping you
travel more sustainably.

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Right now it's in Europe, almost,
I think exclusively it's in Europe.

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But.

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It's got a lot of neat features in there
to help you figure out how to drive or

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how to bike better or how to, you know,
what, what things that you can do to

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save on gas petrol in the European term.

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What you can do to help reduce your
emissions when you can be doing

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things into so when you're traveling
the low emission zones, you can do

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things to, you know, help with that.

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And of course, congestion, which is a
huge problem in every city, everywhere

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helped how, how to travel your plans.

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Travel, how to plan your travel so
that you help reduce congestion and the

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associated environmental costs thereof.

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This is another Google update
that for some reason in my mind,

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I thought they already had.

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And it's a really good one if you're
planning a trip and planning to do a, a

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cycle route through any of the cities.

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So you can avoid heavy car
traffic or know when you're gonna

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come up on some steep hills.

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You know, Barb, I have to
say I'm with you on that one.

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'cause I, when I saw it originally
I thought, yeah, I thought you

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could get some of the stuff up.

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I must have gotten it somewhere else or

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actually could get some of the stuff.

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But

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now they've integrated,
is that what it is?

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Yeah.

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So, but good.

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It hopefully rolls out.

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Everywhere.

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I think the big thing that brought
it all together is that they're

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using AI now to help you with
that planning and the routing and

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all that sort of stuff like that.

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Taking these things into consideration
within the ai, which is simultaneously

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really cool and frightening at
the same time because anyway,

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and finally in the news, a new launch this
past week for the Sony PlayStation, right?

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We don't often talk about gaming
consoles but this launch is for an

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interactive platform free, free to
download if you have Sony PlayStation

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five it's called Climate Station.

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So it's an interactive you know, kind
of a immersive visualization of climate

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data and, one of the features is sort
of looking at a year into climate.

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So it utilizes a lot of remote sensing
and all kinds of stuff, but it's just

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again, cool to see these types of
resources come out to highlight issues

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and, you know, in, in our area that we're
familiar with, but for a broader audience.

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So I've actually tried it out.

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It's made with a common tool
unity that we've talked about

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on this, on the podcast before.

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And supposedly, although I've
not tried this yet, you can also

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use it on the PlayStation VR too.

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So a limited audience limited
by the hardware and technology.

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But really great to see this tool
come out and get added to the,

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the ways that we can visualize
climate and share that knowledge.

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With others.

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It's one of those things where.

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It, it will probably come to Oculus
and desktop and those type of things

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as well, because it, it is a two does
have a traditional 2D screen based

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as well as the potential for vr.

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But it's weird because
it's, it uses levels.

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So you have to progress through
a series of content before

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you can begin to explore.

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Content.

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I think they set it up kind
of like a tutorial in kind of

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way, which you can do well.

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But again, that's a very
levels based approach to it.

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It's, it's, so, it's just kind of
interesting to have a levels based

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approach to scientific communication.

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It, it feels like maybe teachers made
this first, you have to pass this

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class before you can take that class.

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Yeah.

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Yeah.

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I mean, one of the cool things about it is
the, the visualizations are really nice.

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But you know, I can imagine, like when
I teach a class on this and using Unity,

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I ask the students come up with a topic.

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This is, this is something that
topic-wise, I could see even my classes

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go, Hey, let's make something that
helps spread, you know, information

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about what's going on with climate.

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So.

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They, the makers of it do hope that
we know will be a learning tool.

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So again, right now, a limited
release to a, just the PlayStation

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store and PlayStation five.

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But I think that it's something
that more broadly with being created

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with something like Unity, there,
there is the cross platform ability.

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So but yeah, the the partnership that
created, it included the Department

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of Meteorology at the University of
Reading in the uk, Berkeley Earth, and

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the playing for the Planet Alliance.

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So I don't know.

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I thought it was really cool.

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Again, available for
free and tried it out.

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So as long

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as you have a PlayStation, you say, yeah.

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Available for the cost of one PlayStation.

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Yeah.

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Yeah.

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So that's interesting.

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First because although I've made quite
a bit of, of quite a bit of applications

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with Unity I've never seen actually
their, their interface for, or how

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they do stuff for the PlayStation.

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So.

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But hey, I get, you have to have
developer licenses, all that kinda stuff.

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So I didn't have access to those things.

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So anyway,

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a scientist, I believe at Carnegie
Mellon University, that's where the.

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Article originated from, has created
a interactive map and it is a science

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communication tool to encourage
scientists to do a science homecoming.

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That is to go to their local papers,
their hometown papers, wherever

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they're from and to educate the
people there on a local level, a

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local scale about what it is they do.

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And they're calling the interactive.

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Project, the Science Homecoming.

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And I thought it was a really interesting
idea because it basically brings the

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idea of science communication and
talking local, but gives you a tool

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now that you can use to make it a
little bit more efficient to reach

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out to these small local papers.

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This is something that we got emails
as a a g members two, three months

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ago to kind of push this as well.

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So it's been making, its its rounds.

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For a few months now, and it, you know.

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Is a response to all of the cuts that
have been happening in all the federal

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cuts in the United States especially.

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But, you know, just general trends
that we have going on now that there's

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a lot more misinformation about not
just details, but also about what we

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do as academics or professionals or
whatever you wanna define yourself as.

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You know, those mis
misunderstandings are, are growing.

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So it's kind of a way of.

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Trying to get our voices out there
ourselves as opposed to waiting

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for somebody to come and, and
ask to do an article about us.

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I think,

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and what's interesting about it is some
of the examples talk about how a lot

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of scientists and researchers, their
work comes from what they experienced

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growing up in their hometowns.

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So it makes sense to, to
bring what you've done.

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Back to the place that influenced you
in the research that you're doing.

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So we're happy to be joined today by
Zach Jaffe, who is the founder and CEO

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of Map I.T.. Thanks for joining us today.

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Thank you for having me.

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It was nice to meet you at the
North Carolina GIS conference.

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Unfortunately, we didn't have time to sit
down then, but today I just wanted to.

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Kind of go through those same type
of questions and starting with, tell

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us a little bit about Map I.T. and
where you're located and what you do.

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Yeah, absolutely.

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So Map I.T.. We are based in Charleston,
South Carolina but we work all over

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the country and they've actually had
a couple projects overseas as well.

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So we are really a geospatial consulting
firm focused on infrastructure mapping.

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We also are a licensed,
licensed land surveyor.

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So we do that side of the geospatial
world as well, you know, and that's

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just the more traditional, Hey, I'm
building a pro, you know, building

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a fence, where's my property line?

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Or we're adding an addition to the house.

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You know, we need a tree tobo survey.

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So that's one side of the business.

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And the other side you
know, the more kind of.

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Newer age Geospatial Consulting
is the infrastructure mapping.

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Well, we're where we will do everything
from going out and collecting data

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through, you know, reality capture,
lidar, laser scanning we do CAD drawings

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or 3D BIM modeling and really take that
all the way through to GIS deliverables.

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A lot of our focus has been
on interior mapping or indoor

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mapping, a relatively new.

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New term in the GIS world.

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And really the focus on that has been
in the K through 12 school district

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space, higher education campuses.

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00:12:11,815 --> 00:12:14,815
And we're out, we're working on
a couple museum projects as well.

234
00:12:15,215 --> 00:12:16,985
So that's really been our focus.

235
00:12:16,985 --> 00:12:19,805
I. And you know, we've seen a lot of
success in it the past two years and

236
00:12:19,805 --> 00:12:24,775
we are really continuing to see it grow
or the, those types of services needed

237
00:12:24,955 --> 00:12:25,375
really.

238
00:12:25,585 --> 00:12:29,105
And you kind of touch on
three different areas in just

239
00:12:29,105 --> 00:12:30,425
that, that quick introduction.

240
00:12:30,825 --> 00:12:36,555
One being the traditional 2D list, make
a map of something or a CAD drawing of

241
00:12:36,555 --> 00:12:44,745
something moving into the 3D with some
of the creation of models to support.

242
00:12:45,270 --> 00:12:49,260
That 2D but also then getting
into the reality capture where

243
00:12:49,260 --> 00:12:53,890
you're then moving into point
clouds and exactly all that means.

244
00:12:53,890 --> 00:12:56,530
So a lot of different things
to, to touch on there.

245
00:12:56,530 --> 00:13:02,190
So whenever you are looking at a
project, I think to completely go off.

246
00:13:02,850 --> 00:13:07,030
The topics that I, I had discussed
with you before how do you begin

247
00:13:07,030 --> 00:13:10,990
to think about, okay, this is
our more traditional 2D points.

248
00:13:11,330 --> 00:13:16,280
Get a GPS, get a, a total
station out there, versus we

249
00:13:16,280 --> 00:13:17,750
need to get out there with a.

250
00:13:18,735 --> 00:13:19,845
Laser scanning system.

251
00:13:20,445 --> 00:13:22,185
So what kind of guides you with that?

252
00:13:22,455 --> 00:13:23,055
Absolutely.

253
00:13:23,105 --> 00:13:26,075
Obviously, you know, it's very
project dependent but you know,

254
00:13:26,075 --> 00:13:29,915
most times it comes down to, is
it interior or exterior mapping?

255
00:13:30,165 --> 00:13:31,695
Or a combination of both.

256
00:13:31,945 --> 00:13:35,755
So for example, you know, if we're doing,
focusing on indoor mapping for a K through

257
00:13:35,755 --> 00:13:39,445
12 school district where they're creating
maps for, you know, interactive maps for

258
00:13:39,445 --> 00:13:42,715
safety and security, critical glimpse in
the mapping emergency response, right.

259
00:13:43,180 --> 00:13:45,600
Not gonna really use you know,
traditional land surveying

260
00:13:45,600 --> 00:13:47,730
techniques in that scenario, right?

261
00:13:47,730 --> 00:13:51,180
Because it's all, or mainly indoor
mapping, you're gonna use lidar laser

262
00:13:51,180 --> 00:13:52,680
scannings to create those point clouds.

263
00:13:52,950 --> 00:13:57,930
We do go around the exterior of the school
as well to, you know, map the entire site.

264
00:13:58,170 --> 00:14:02,010
Traditionally using lidar, land surveying
lidar technology as well, because we're

265
00:14:02,010 --> 00:14:04,440
already there doing that type of work.

266
00:14:04,920 --> 00:14:07,590
Every now and then we do come across
products where, hey, we really need

267
00:14:07,590 --> 00:14:10,710
to make sure, you know, we, we tag
that valve and sometimes they'll

268
00:14:10,710 --> 00:14:14,160
let smaller information to be
harder to extract from point clouds.

269
00:14:14,320 --> 00:14:17,230
While it is usually visible,
we do like to kind of double

270
00:14:17,230 --> 00:14:19,450
verify those kind, those kind of.

271
00:14:20,000 --> 00:14:20,450
Feature.

272
00:14:20,450 --> 00:14:24,300
So we will go back out with, you know,
GPS or traditional land surveying

273
00:14:24,300 --> 00:14:26,160
equipment to, to locate those.

274
00:14:26,490 --> 00:14:28,860
You know, another, another example
of a project I'm working on right

275
00:14:28,860 --> 00:14:31,500
now is a cemetery mapping project
where we're actually going out and

276
00:14:31,500 --> 00:14:34,890
collecting, you know, the, the,
the locations of headstones as well

277
00:14:34,890 --> 00:14:37,980
as documenting, you know, what the
site looks like by taking a picture.

278
00:14:38,100 --> 00:14:41,460
And one of the quite, well, I was
toying with the idea of do we wanna

279
00:14:41,460 --> 00:14:46,170
use our lidar skiing technology that
captures 360 panoramic imagery, or

280
00:14:46,170 --> 00:14:47,610
do we wanna go the traditional route?

281
00:14:48,290 --> 00:14:51,930
You know, GPSing every headstone
and taking a picture all through,

282
00:14:51,990 --> 00:14:53,910
you know, various ESRI applications.

283
00:14:54,240 --> 00:14:57,630
We actually decided to go the traditional
route just because we thought the lidar

284
00:14:57,750 --> 00:15:02,980
probably is a little bit of overkill
for a more basic 2D map deliverable.

285
00:15:03,180 --> 00:15:06,720
And in terms of the time efficient we,
efficiency, we felt like it was the same.

286
00:15:07,150 --> 00:15:08,890
So that was one kind of project
we're like, well, which, which

287
00:15:08,890 --> 00:15:09,970
one do we want to go here?

288
00:15:10,600 --> 00:15:13,600
And it's always, you know,
you start with that to get it

289
00:15:13,600 --> 00:15:15,040
done and, and have it there.

290
00:15:15,430 --> 00:15:19,210
And if the client wants you to come
back and scan the headstones to get

291
00:15:19,210 --> 00:15:22,780
the inscriptions and things that, as
you know, whenever you're looking at

292
00:15:22,780 --> 00:15:24,920
headstones they wear down over time.

293
00:15:24,920 --> 00:15:29,820
And LIDAR does a great job of helping
to kind of pull out those details

294
00:15:29,820 --> 00:15:31,440
that are lost a lot of times visually.

295
00:15:31,830 --> 00:15:36,470
So, yeah, I mean it's having those
different deliverables as options later

296
00:15:36,470 --> 00:15:38,570
on is always a great option as well.

297
00:15:39,470 --> 00:15:43,370
And kind of talking about then going
back from the point clouds to a more

298
00:15:43,370 --> 00:15:47,900
traditional product because the point
cloud and the 3D models that you can

299
00:15:47,900 --> 00:15:49,580
create from that, the reality capture.

300
00:15:49,955 --> 00:15:54,425
Is great for looking at in a game engine
or those type of environments, but

301
00:15:54,785 --> 00:15:59,675
not all clients have that capability
or desire to be able to move around.

302
00:15:59,675 --> 00:16:01,945
They want a more traditional product.

303
00:16:02,335 --> 00:16:03,025
So you can talk.

304
00:16:03,025 --> 00:16:05,905
Can you talk a little bit about
that process of going back from

305
00:16:06,415 --> 00:16:12,115
this very dense, high resolution,
high content point cloud to a more

306
00:16:12,385 --> 00:16:14,795
generalized 3D model or 2D model?

307
00:16:15,170 --> 00:16:15,950
Absolutely.

308
00:16:15,950 --> 00:16:19,400
So I mean, what it all comes down to,
right, is what, what the end user,

309
00:16:19,400 --> 00:16:21,080
what our client wants to visualize.

310
00:16:21,530 --> 00:16:25,040
Oftentimes, point clouds are,
can be overkill in terms of

311
00:16:25,040 --> 00:16:25,820
what you're capturing, right?

312
00:16:25,850 --> 00:16:28,160
'cause the way LIDAR scans
works, it captures everything.

313
00:16:28,160 --> 00:16:31,040
The ics, whether or not that's
something that's going to be

314
00:16:31,040 --> 00:16:33,080
included in your file dataset, right?

315
00:16:33,230 --> 00:16:35,810
So we're creating just
standard floor clans.

316
00:16:35,990 --> 00:16:38,810
It's gonna capture the detail
of everything in that room.

317
00:16:38,810 --> 00:16:40,190
Furniture lighting.

318
00:16:40,730 --> 00:16:43,310
Whatever your, I can see the scanner
is going to pick up and that's

319
00:16:43,310 --> 00:16:44,330
going to be in the point cloud.

320
00:16:44,540 --> 00:16:48,860
Now oftentimes we will simplify that
by just extracting only what's required

321
00:16:48,860 --> 00:16:52,400
for that project and then delivering it
to them, like you said, in either A 2D

322
00:16:52,400 --> 00:16:55,590
CAD or 3D bit oftentimes through GIS.

323
00:16:55,980 --> 00:16:59,785
I will say that with that, with a
lot of these, you know, software

324
00:16:59,905 --> 00:17:03,385
integrations and partnerships
specifically between Autodesk and Esri.

325
00:17:04,185 --> 00:17:08,085
As well as all the cloud-based
solutions, it's becoming a lot easier

326
00:17:08,085 --> 00:17:14,295
to deliver these, you know, higher
and heavier dataset deliverables to

327
00:17:14,295 --> 00:17:17,265
clients through those cloud systems.

328
00:17:17,265 --> 00:17:20,055
So, you know, prior to a lot
of these workflows delivering

329
00:17:20,055 --> 00:17:21,315
a BIM multiple client.

330
00:17:21,645 --> 00:17:25,065
That wasn't an architect or
an engineer was unheard of or

331
00:17:25,065 --> 00:17:26,355
you know, even a point cloud.

332
00:17:26,595 --> 00:17:31,035
But now with those integrations through,
you know, easy to use web browsers,

333
00:17:31,035 --> 00:17:35,985
I can send you a link of an extremely
detailed BIM model or point cloud that

334
00:17:35,985 --> 00:17:40,125
just gives you more access to more
information that you already paid for.

335
00:17:40,455 --> 00:17:44,475
So while at the end of the day, yes,
all you need is those 2D plans, you

336
00:17:44,475 --> 00:17:49,965
can now access that higher resolution
imagery point cloud or BIM model

337
00:17:50,145 --> 00:17:52,275
through, you know, hosted web browsers.

338
00:17:52,495 --> 00:17:55,825
So it is slowly starting to change
and I think that that's helping a

339
00:17:55,825 --> 00:18:00,445
lot of organizations that kind of
maybe not better understand the

340
00:18:00,445 --> 00:18:03,745
process and workflow, but get more
out of the project, get a higher ROI.

341
00:18:04,495 --> 00:18:08,355
Or even you know, be able to
expand the solution to other

342
00:18:08,355 --> 00:18:10,125
departments within an organization.

343
00:18:10,515 --> 00:18:10,725
Yeah.

344
00:18:10,725 --> 00:18:14,295
Having that generalized content you
know, it's, it's a good place for

345
00:18:14,295 --> 00:18:17,265
the client to start because they know
this is what they need, this is what

346
00:18:17,265 --> 00:18:21,065
they want, but then having access to
those additional data through Fusions

347
00:18:21,065 --> 00:18:26,555
360 or a web scene viewer and RTS
online, just like you're saying, just.

348
00:18:26,885 --> 00:18:29,945
Makes it a little bit deeper for them,
gives them that extra information.

349
00:18:29,945 --> 00:18:32,615
If they need more things pulled
out that they can see in it, they,

350
00:18:32,675 --> 00:18:35,165
they know to come back to you and
talk about those type of things.

351
00:18:35,795 --> 00:18:36,365
Exactly.

352
00:18:36,575 --> 00:18:40,125
So I wonder if we're looking at
this wealth of technologies, you've

353
00:18:40,125 --> 00:18:43,075
been in the field since before the.

354
00:18:45,355 --> 00:18:50,525
Closer integration between the a EC on
the Autodesk side and the GIS on the,

355
00:18:50,885 --> 00:18:53,045
and various tools on the Esri side.

356
00:18:53,335 --> 00:18:58,385
Can you talk a little bit about
your feelings about this, this thing

357
00:18:58,385 --> 00:19:01,955
that happened, what was about three,
four years ago now, where Autodesk

358
00:19:01,955 --> 00:19:05,975
and Esri said, you know what, we're
going to not just let people do

359
00:19:05,975 --> 00:19:07,445
loose coupling between our products.

360
00:19:07,445 --> 00:19:09,065
We are going to intentionally go through.

361
00:19:09,650 --> 00:19:14,560
And, and work together to make these
workflows a little bit more seamless.

362
00:19:14,920 --> 00:19:15,640
Yeah, absolutely.

363
00:19:15,640 --> 00:19:17,320
I mean, I think, I think it's great.

364
00:19:17,320 --> 00:19:21,040
Clearly there was a need for it in the
industry and they saw that opportunity.

365
00:19:21,040 --> 00:19:24,400
I think it was like at this point,
maybe like six years ago, that they

366
00:19:24,400 --> 00:19:26,330
announced their official partnership.

367
00:19:26,330 --> 00:19:28,970
Now, that had always been a little
bit of interoperability between the

368
00:19:28,970 --> 00:19:32,270
two, but not really to the extent
of course, that we're seeing now.

369
00:19:32,690 --> 00:19:34,790
Clearly there was the need for it.

370
00:19:34,790 --> 00:19:36,230
They saw the opportunity.

371
00:19:36,440 --> 00:19:36,710
Yeah.

372
00:19:36,710 --> 00:19:39,500
So that really, I mean, I think it's,
it's allowing, like I mentioned also

373
00:19:39,500 --> 00:19:44,360
earlier, it's allowing a lot more
people to benefit from these solutions

374
00:19:44,360 --> 00:19:49,340
and softwares that previously only
architects and engineers used bim.

375
00:19:49,340 --> 00:19:49,670
Right.

376
00:19:49,700 --> 00:19:53,150
Used really BIM and Rev and those
suite of tools in the JS world.

377
00:19:53,420 --> 00:19:55,310
You know, never really touched that.

378
00:19:55,310 --> 00:19:56,480
Or not even the JS world, right?

379
00:19:56,480 --> 00:20:00,770
A facility manager who's
busy and MA maintaining.

380
00:20:01,205 --> 00:20:05,645
A school or a facility never would have
used a 3D model in an app on their phone.

381
00:20:05,795 --> 00:20:09,305
But now they can quickly say, okay,
where is that asset in that pump

382
00:20:09,305 --> 00:20:11,195
room that it needs to locate and fix?

383
00:20:11,195 --> 00:20:14,315
And what are those what, what are the
attribute informations about that pump?

384
00:20:14,315 --> 00:20:14,885
What's the make?

385
00:20:14,885 --> 00:20:15,665
What's the model?

386
00:20:15,995 --> 00:20:20,105
You know, the ID number right now, they
have that access through that integration.

387
00:20:20,105 --> 00:20:21,725
So it's really expanding the use.

388
00:20:22,070 --> 00:20:23,630
Of these data sets.

389
00:20:23,880 --> 00:20:28,080
And I also think that before my
time in land surveying or GIS right,

390
00:20:28,410 --> 00:20:32,490
GIS and land surveying and CAD all
kind of started at the same place.

391
00:20:32,490 --> 00:20:37,380
Then over the years they really separated
and diverse to where like, you know,

392
00:20:37,380 --> 00:20:41,160
the joke Land surveyors joke about
GI S's, GIS stands for Get It survey.

393
00:20:41,985 --> 00:20:43,305
I don't think that's very fun, you know?

394
00:20:43,515 --> 00:20:46,485
But now we're starting to see the worlds
are kind of coming back together, right?

395
00:20:46,485 --> 00:20:46,755
Right.

396
00:20:46,815 --> 00:20:47,715
We're saying, hold on.

397
00:20:47,985 --> 00:20:51,225
Lance surveys can use G-I-S-G-I-S
can use Lance surveying data.

398
00:20:51,225 --> 00:20:56,355
And I think the integrations of AutoCAD
and Esri are kind of really amplifying

399
00:20:56,355 --> 00:21:00,195
that, that these worlds do work together.

400
00:21:00,195 --> 00:21:03,075
They're not, GIS is not totally
separate from these CAD s in

401
00:21:03,075 --> 00:21:04,215
that you can actually benefit.

402
00:21:04,455 --> 00:21:07,905
By using them both together in
both Lance Survey bearers and JS

403
00:21:07,905 --> 00:21:09,615
professionals are benefiting from it.

404
00:21:09,615 --> 00:21:12,315
And now that that world's kind
of getting mixed for the better.

405
00:21:13,095 --> 00:21:18,100
Yeah, I think there's, there's two
technologies that did this weird I'm, I'm

406
00:21:18,100 --> 00:21:22,390
not sure how recent to really point it to,
but beginning to bring them back together.

407
00:21:22,930 --> 00:21:27,590
On the one hand you have the use
of GPS or GNSS in general that.

408
00:21:28,655 --> 00:21:31,875
Was a, a heavy thing for GIS
users to take advantage of.

409
00:21:31,875 --> 00:21:36,055
But there was just this point
where one day you're watching

410
00:21:36,155 --> 00:21:37,745
surveyors with total stations.

411
00:21:38,045 --> 00:21:39,275
The next day it's.

412
00:21:39,950 --> 00:21:41,630
Everybody's out there with a GPS unit.

413
00:21:42,230 --> 00:21:45,860
And I think that begins to, to
change some of that mentality.

414
00:21:46,100 --> 00:21:50,040
And on the other hand, it's going
back to the, the reality capture the

415
00:21:50,160 --> 00:21:53,910
movement into digital twins, which of
course is also what precipitated the,

416
00:21:54,450 --> 00:21:57,720
the connection, you know, that stronger
connection between Autodesk and Esri.

417
00:21:58,230 --> 00:22:05,320
Just that the idea of BIM in general just
really began to, to bring these together.

418
00:22:05,320 --> 00:22:07,510
And so in my mind, these
are two things that kind of.

419
00:22:08,035 --> 00:22:11,365
Began to bring them together
at, at different stages.

420
00:22:11,365 --> 00:22:16,945
But it just, like you're saying, it, it
brought this idea of where we started

421
00:22:16,945 --> 00:22:22,115
together, moved apart and now are kind of
reflexively kind of coming back together.

422
00:22:22,485 --> 00:22:22,605
Mm-hmm.

423
00:22:23,025 --> 00:22:23,505
Began.

424
00:22:23,805 --> 00:22:24,165
Yeah.

425
00:22:24,435 --> 00:22:25,545
No, I mean, I completely agree.

426
00:22:25,545 --> 00:22:25,995
I think we're right.

427
00:22:26,025 --> 00:22:29,025
Digital twin was a pretty
big driving factor.

428
00:22:29,055 --> 00:22:31,395
'cause everyone wants to,
everyone wants a digital twin now.

429
00:22:31,545 --> 00:22:31,755
Yeah.

430
00:22:32,115 --> 00:22:36,555
And if only we could get the, the
as-builts as they were actually built.

431
00:22:36,885 --> 00:22:38,385
But that's a whole other conversation.

432
00:22:38,685 --> 00:22:39,465
That's whole nother story.

433
00:22:39,465 --> 00:22:41,595
I'm working on a project right now
where they keep saying, you know,

434
00:22:41,955 --> 00:22:45,885
as-builts, yeah, we could, because
you know, it's more design and

435
00:22:45,885 --> 00:22:47,355
whatever happened after that is.

436
00:22:47,595 --> 00:22:48,765
You know?

437
00:22:49,125 --> 00:22:49,365
Yep.

438
00:22:49,365 --> 00:22:51,040
The last thing you see is there's a
problem we're trying to solve now.

439
00:22:51,270 --> 00:22:51,560
Yeah.

440
00:22:51,565 --> 00:22:55,875
You see the architects CAD drawing
or bim and you're like, okay, well

441
00:22:55,875 --> 00:22:57,375
how does that connect to reality?

442
00:22:57,475 --> 00:22:58,345
But that's a, yeah.

443
00:22:58,405 --> 00:22:58,975
Like you're saying.

444
00:22:59,635 --> 00:23:04,385
So then let's, let's jump into
those digital twins and how you're

445
00:23:04,475 --> 00:23:08,325
utilizing this, especially like you
were saying for these smart campuses

446
00:23:08,355 --> 00:23:09,255
that you've been working with.

447
00:23:09,705 --> 00:23:10,005
Yeah.

448
00:23:10,005 --> 00:23:10,605
So.

449
00:23:11,640 --> 00:23:12,720
The common misconception, right?

450
00:23:12,720 --> 00:23:16,620
Digital twin is like a 3D model, when
that's a component of the digital

451
00:23:16,620 --> 00:23:20,790
twin, really digital twin, you know,
is the real world, the real world

452
00:23:20,790 --> 00:23:22,410
conditions in the digital environment.

453
00:23:22,410 --> 00:23:25,590
So that is the visualizations
of what, the visualization of

454
00:23:25,590 --> 00:23:29,100
something and the attribute
information of what something is.

455
00:23:29,670 --> 00:23:32,790
So if I'm looking at a pipe, I
can see the pipe, I know what

456
00:23:32,790 --> 00:23:34,320
system it's involved with.

457
00:23:34,320 --> 00:23:36,150
I know when it install, I know the make.

458
00:23:36,500 --> 00:23:39,380
As well as, you know, or even we're
talking about a pump, being able

459
00:23:39,380 --> 00:23:43,010
to pull that sensors associated
with that pump, you know, to

460
00:23:43,010 --> 00:23:44,300
understand, you know, the flow.

461
00:23:44,360 --> 00:23:48,860
Being able to pull that into a data
set or a dashboard or some type of

462
00:23:48,860 --> 00:23:50,480
data visualization platform, right?

463
00:23:50,690 --> 00:23:52,580
So that's really what the digital twin is.

464
00:23:53,210 --> 00:23:56,780
So a lot of, you know, what we're doing
for campus isn't necessarily like a

465
00:23:56,780 --> 00:24:00,620
3D digital twin because that might not
be necessary for what they're doing.

466
00:24:00,980 --> 00:24:05,390
So it's a 2D digital twin where
we have, you know, floor plans for

467
00:24:05,390 --> 00:24:09,290
buildings and we have 2D representations
of utilities around campus.

468
00:24:09,290 --> 00:24:12,860
Even, you know, some parking
sidewalks, things of that nature.

469
00:24:12,860 --> 00:24:13,100
Right?

470
00:24:14,000 --> 00:24:18,350
That all that information is tied
in to, you know, a system of record,

471
00:24:18,350 --> 00:24:21,440
whether it's an asset management
system or work order management system

472
00:24:21,630 --> 00:24:23,370
or even third party integrations.

473
00:24:23,500 --> 00:24:25,870
You know, for example, we're working
on a project now where we're mapping

474
00:24:25,870 --> 00:24:27,580
out parking lots at a museum.

475
00:24:27,790 --> 00:24:31,150
So each parking lot has a,
you know, has a feature.

476
00:24:31,210 --> 00:24:34,870
So we can get a count of parking spaces,
square footage of parking spaces.

477
00:24:35,180 --> 00:24:38,660
And it's actually tied to a
camera that knows when someone's

478
00:24:38,660 --> 00:24:39,980
parked there, when they're not.

479
00:24:40,130 --> 00:24:41,180
So now we have, you know.

480
00:24:41,570 --> 00:24:45,120
To use this example again, you know,
parking a parking digital twin for

481
00:24:45,120 --> 00:24:48,870
this museum, for example, where
ultimately they're gonna know what

482
00:24:48,870 --> 00:24:52,290
parking spots are available, what are
that's gonna be symbolized in red.

483
00:24:52,290 --> 00:24:55,440
They could see, you know, is that an
accessible parking spot, electric vehicle

484
00:24:55,440 --> 00:24:57,300
parking, or just a standard parking spot.

485
00:24:57,690 --> 00:25:01,470
So those are, you know, that's just a
simple example of a 2D digital twin.

486
00:25:01,710 --> 00:25:04,530
Well, on, you know, on the flip
side, we work with a lot of water and

487
00:25:04,530 --> 00:25:06,330
wastewater treatment facilities, right?

488
00:25:06,330 --> 00:25:06,750
Where.

489
00:25:07,125 --> 00:25:09,225
If you've ever been to a treatment
facility or seen pictures of

490
00:25:09,225 --> 00:25:10,425
it or seen plans of it, right?

491
00:25:10,425 --> 00:25:14,325
There's piping layered on top of each
other going every which way, and it

492
00:25:14,325 --> 00:25:20,445
is nearly impossible to decipher the
meaning of that data in 2D, right?

493
00:25:20,655 --> 00:25:25,725
You really need a 3D digital twin for that
kind of information where you can zoom

494
00:25:25,725 --> 00:25:30,135
in, can around, and really see how that
piping system works or how it connects.

495
00:25:30,525 --> 00:25:33,195
And then again, you know, being
able to tie that information to

496
00:25:33,345 --> 00:25:38,525
real time information, you know,
through IOT sensors or other, like I

497
00:25:38,525 --> 00:25:42,125
mentioned, third party systems, like
work order or, or asset management.

498
00:25:42,485 --> 00:25:42,605
Yeah.

499
00:25:42,605 --> 00:25:45,175
And I think a lot of people don't
think about one, of course, like

500
00:25:45,175 --> 00:25:49,395
you're saying, the sensors and the,
the real time reflexive, or reflective,

501
00:25:49,395 --> 00:25:54,025
I guess is a better word nature of,
of digital twins, but also just the

502
00:25:54,025 --> 00:25:56,425
sheer amount of networking data.

503
00:25:57,265 --> 00:26:00,145
That also goes into this because
understanding what's going on

504
00:26:00,145 --> 00:26:03,985
at one sensor, you then need to
understand the routing upstream and

505
00:26:03,985 --> 00:26:08,065
downstream for say, the, the water
treatment of, you know, what's going

506
00:26:08,065 --> 00:26:10,105
on with that pipe above and below.

507
00:26:10,105 --> 00:26:15,115
And how do other sensors reflect what
this one sensor may be saying is an error.

508
00:26:15,975 --> 00:26:18,975
So yeah, it's just this combination
of network and sensors that I

509
00:26:18,975 --> 00:26:21,405
don't think, like you're saying
a lot of people think about.

510
00:26:21,405 --> 00:26:22,215
We think about the.

511
00:26:22,995 --> 00:26:28,585
Representation of the world, whether in
2D or 3D, but not that real-time nature

512
00:26:29,185 --> 00:26:31,275
that a true digital twin should be.

513
00:26:31,875 --> 00:26:32,265
Right.

514
00:26:32,265 --> 00:26:35,925
And then on top of that, it's like the
predictive analytics in some situations

515
00:26:35,925 --> 00:26:37,395
too, that kind of just builds on that.

516
00:26:37,575 --> 00:26:37,755
Yeah.

517
00:26:37,755 --> 00:26:40,155
I mean, you know, talking about
kind of the real-time sensors

518
00:26:40,155 --> 00:26:41,655
and predictive analytics.

519
00:26:41,655 --> 00:26:43,635
I mean, another example is a
water wastewater treatment plant.

520
00:26:43,635 --> 00:26:45,135
We're evaluating a project right now.

521
00:26:45,345 --> 00:26:47,815
We've done some scanning, BI
modeling for that where they

522
00:26:47,815 --> 00:26:49,645
want to use an Autodesk product.

523
00:26:49,675 --> 00:26:50,575
Autodesk Tandem.

524
00:26:50,935 --> 00:26:52,885
As their digital twin platform.

525
00:26:52,975 --> 00:26:56,225
I mean, tandem's an automotive
product cloud-based really is

526
00:26:56,225 --> 00:26:57,515
a digital twin platform, right?

527
00:26:57,515 --> 00:27:00,815
It, it, it integrates with a lot of
third party systems, real-time sensors.

528
00:27:00,815 --> 00:27:04,835
They want that to be their kind,
centralized data repository of all

529
00:27:05,435 --> 00:27:07,055
treatment plant asset information.

530
00:27:07,355 --> 00:27:12,335
But they don't love the way that these
models can be distributed through the

531
00:27:12,335 --> 00:27:14,765
Autodesk platforms to the organization.

532
00:27:14,765 --> 00:27:17,675
So they're looking at an
integration with Esri and GIS

533
00:27:17,855 --> 00:27:19,415
to distribute that information.

534
00:27:20,015 --> 00:27:20,825
As an alternate.

535
00:27:20,825 --> 00:27:25,025
So that's just a great example of, you
know, using an Autodesk product for full

536
00:27:25,025 --> 00:27:29,615
digital, digital twin, looking at, you
know, integrating IOT sensors, predictive

537
00:27:29,615 --> 00:27:33,845
analytics, everything in Autodesk while
distributing the model through Esri and

538
00:27:33,845 --> 00:27:38,975
GIS to their field technicians who know
the ENE GIS world, not the Autodesk world.

539
00:27:39,130 --> 00:27:42,460
So that's kind of a good example of,
you know, you know, your digital twin

540
00:27:42,460 --> 00:27:45,730
question and going back to your questions
about, you know, these, these Autodesk

541
00:27:45,730 --> 00:27:47,890
and Esri and other software integrations.

542
00:27:48,070 --> 00:27:52,000
Now, another thing that you work on
heavily and kind of touching back

543
00:27:52,000 --> 00:27:55,810
to some of the, the smart campus
facilities is indoor mapping.

544
00:27:56,260 --> 00:27:59,970
And your organization is a
partner in Esri, partner with

545
00:28:00,000 --> 00:28:01,530
Arc GIS, indoors as well.

546
00:28:01,840 --> 00:28:04,850
Can you talk a little bit about how
this all of these things kind of feed

547
00:28:04,850 --> 00:28:06,560
into how you're working with indoors?

548
00:28:06,770 --> 00:28:07,010
Yeah.

549
00:28:07,010 --> 00:28:11,420
So ArcGIS indoors is like, is a
specific product of the Esri ecosystem.

550
00:28:11,420 --> 00:28:15,350
It's really like a, an extension
of ArcGIS Pro, you know, desktop

551
00:28:15,350 --> 00:28:17,450
applications and ArcGIS online.

552
00:28:17,730 --> 00:28:18,900
So ArcGIS indoors.

553
00:28:19,295 --> 00:28:25,145
Is just a really good way to kind
of use GIS as a centralized data

554
00:28:25,145 --> 00:28:30,245
repository for, you know, your
indoor, but really campus information.

555
00:28:30,425 --> 00:28:33,155
I always say it should be called RGS
campus because oftentimes we're not

556
00:28:33,155 --> 00:28:36,455
just mapping indoors, we're mapping
entire sites from entire campuses.

557
00:28:36,865 --> 00:28:38,665
So it's a really good way to.

558
00:28:39,025 --> 00:28:44,255
Give tools to facility managers,
safety and security teams space

559
00:28:44,255 --> 00:28:46,475
planners, even students or visitors.

560
00:28:46,475 --> 00:28:46,835
Right?

561
00:28:47,045 --> 00:28:51,245
Give them access to specific floor
plan information that they need, right?

562
00:28:51,425 --> 00:28:54,755
So it's you know, in like the, the
asset management world or facility

563
00:28:54,755 --> 00:28:57,365
manage facility management world,
it's find it, fix it, right?

564
00:28:57,605 --> 00:28:58,295
Where is it?

565
00:28:58,500 --> 00:29:00,120
And, and what is it so I can fix it?

566
00:29:00,150 --> 00:29:00,510
Right?

567
00:29:00,760 --> 00:29:03,550
But really it's, it's just
tools that allow you to find

568
00:29:03,550 --> 00:29:05,680
things quickly and efficiently.

569
00:29:05,680 --> 00:29:09,010
Whether it is a new student on a
campus that needs to navigate to a

570
00:29:09,010 --> 00:29:12,280
classroom, or it's a first responder
who needs to respond to an event

571
00:29:12,280 --> 00:29:15,400
and know where is, where is that,
you know, event taking place?

572
00:29:15,400 --> 00:29:17,290
What's the nearest entrance exit?

573
00:29:17,440 --> 00:29:21,680
What asset safety and what safety
and security assets are there, right?

574
00:29:21,920 --> 00:29:26,970
So ArcGIS Indoors is just a really great
product that Esri has put out to support.

575
00:29:27,515 --> 00:29:29,205
A lot of those use cases.

576
00:29:29,565 --> 00:29:33,065
And just kind of to broaden out a,
a little bit more we've used the

577
00:29:33,065 --> 00:29:36,845
term facility management and it's,
it's one that is very important

578
00:29:37,035 --> 00:29:40,695
especially for the facility managers,
but it's one that I think in the

579
00:29:40,695 --> 00:29:43,455
nineties whenever I was starting,
there was a lot more conversations

580
00:29:43,455 --> 00:29:45,105
about facilities management and GIS.

581
00:29:45,820 --> 00:29:51,100
And it, it kind of went away in the early
two thousands, but I feel that with the,

582
00:29:51,100 --> 00:29:54,490
the movement towards BIM and those type
of things, that it's, it's really come

583
00:29:54,490 --> 00:29:59,030
back, but it just hasn't had that same
conversation point that it once had.

584
00:29:59,570 --> 00:30:03,050
So can you talk a little bit more about
just this idea of facilities management

585
00:30:03,050 --> 00:30:04,610
in general that you've been working with?

586
00:30:05,060 --> 00:30:05,840
Yeah, absolutely.

587
00:30:05,840 --> 00:30:09,740
I mean, I think facility management
hasn't, has not been a spatial.

588
00:30:10,565 --> 00:30:13,145
Spatial application in a, for a long time.

589
00:30:13,295 --> 00:30:13,565
Right.

590
00:30:13,565 --> 00:30:16,625
So it's, it's, you know, people
have great facility management

591
00:30:16,810 --> 00:30:20,415
softwares, EAM, softwares, and it's
just a record in the spreadsheet,

592
00:30:20,415 --> 00:30:23,385
more or less, you know, obviously
through, you know, an application.

593
00:30:23,575 --> 00:30:26,835
And you know, you might have a field that
has that location you know, locational

594
00:30:26,835 --> 00:30:28,935
information, but it's not on a map, right?

595
00:30:28,935 --> 00:30:34,575
Maps are very easy to understand, 300
looking at hundreds of rows in a table.

596
00:30:34,860 --> 00:30:38,100
Or even just one row on a table,
you don't quite understand as much.

597
00:30:38,100 --> 00:30:40,770
So, you know, we're we're
building that connectivity of

598
00:30:40,770 --> 00:30:42,210
understanding and allowing.

599
00:30:42,945 --> 00:30:46,425
Facility managers and maintenance crews
to under really understand contextually,

600
00:30:46,605 --> 00:30:51,165
you know, what it is they're working with
and just an easier way to find and fix it.

601
00:30:51,615 --> 00:30:51,825
Yeah.

602
00:30:51,825 --> 00:30:54,705
I think in the, in the nineties, like
I was saying, whenever there was a

603
00:30:54,705 --> 00:30:58,785
lot of conversation about it, it was
the CAD line work and you know, the

604
00:30:58,785 --> 00:31:02,445
little bit of attribution that you can
do with the different layers in cad.

605
00:31:02,595 --> 00:31:02,685
Mm-hmm.

606
00:31:02,915 --> 00:31:06,105
And this whole other document, like
you're saying, an Excel sheet or

607
00:31:06,165 --> 00:31:09,915
database that you then had to go
to once you figured out which line.

608
00:31:10,350 --> 00:31:13,590
You'd go then look up that line
number in the, the data table.

609
00:31:13,870 --> 00:31:16,840
And there was just this disconnect and
a lot of it, I think you know, we'd

610
00:31:16,840 --> 00:31:21,100
lost a lot of the spatial information
as people ignored the CAD eventually

611
00:31:21,100 --> 00:31:22,810
and focused more on the, the table.

612
00:31:23,120 --> 00:31:26,210
But yeah, it's, it's great
seeing that coming back together

613
00:31:26,210 --> 00:31:27,440
over the last decade or so.

614
00:31:27,675 --> 00:31:28,785
And seeing a lot more of work.

615
00:31:29,535 --> 00:31:29,745
Yeah.

616
00:31:29,745 --> 00:31:31,455
Now it's like, Hey, I got
a, you know, on my phone.

617
00:31:31,455 --> 00:31:31,935
I get an alert.

618
00:31:31,935 --> 00:31:33,345
I got, I got a work order in that room.

619
00:31:33,345 --> 00:31:36,465
I can view the room, view the work
order, see what assets are in that

620
00:31:36,465 --> 00:31:40,395
room, click on that point, and then
my work order system will show me what

621
00:31:40,395 --> 00:31:43,755
that asset information was that what
that record is in that table, right?

622
00:31:43,755 --> 00:31:46,065
All in that one, one location.

623
00:31:46,425 --> 00:31:46,710
Yeah.

624
00:31:46,710 --> 00:31:49,155
And we're slowly, I mean, we're seeing
that on our campus where we have

625
00:31:49,645 --> 00:31:53,335
slowly seen more of the electricians,
more of the, folks that are working

626
00:31:53,335 --> 00:31:58,275
with network and, and water being
there with their phones, with our, our

627
00:31:58,275 --> 00:32:00,745
campus facilities and, and utility map.

628
00:32:01,315 --> 00:32:04,975
So they can say, whenever they
get a call, go find this line.

629
00:32:04,975 --> 00:32:07,285
They can say, okay, well this is where
this line is, like you're saying,

630
00:32:07,615 --> 00:32:09,625
and yet it's not just internal facility.

631
00:32:10,030 --> 00:32:12,100
Yeah, I mean, you know,
managers and teams, right?

632
00:32:12,100 --> 00:32:14,710
It's, it's working with outside
contractors who come to a campus

633
00:32:14,710 --> 00:32:16,870
and say, I don't know this, you
know, I don't know this campus.

634
00:32:16,870 --> 00:32:20,410
And being able to give, distribute
this information through, you know,

635
00:32:20,620 --> 00:32:22,750
mobile apps and web apps as well.

636
00:32:22,870 --> 00:32:26,500
And on top of that, we have our,
our facilities is also involved

637
00:32:26,500 --> 00:32:30,310
with the 8 1 1 calls for a
certain distance from our campus.

638
00:32:30,310 --> 00:32:32,500
So, yeah, they, yeah, they love that.

639
00:32:33,340 --> 00:32:36,580
So, yeah it, it, it, like I
said, it is good to see more.

640
00:32:37,180 --> 00:32:40,060
Movement back into the facilities
management within the, the GIS

641
00:32:40,060 --> 00:32:41,630
space as we're moving forward.

642
00:32:41,900 --> 00:32:43,460
Well, I was just saying, you know,
going back to your original question

643
00:32:43,460 --> 00:32:46,160
of talking about RC js indoors and
how this plays a part, I think it,

644
00:32:46,160 --> 00:32:50,750
you know, it's a really cool kind of
workflow to achieve, you know, indoor

645
00:32:50,750 --> 00:32:54,350
mapping or smart campus mapping because
it doesn't gal all these technologies.

646
00:32:54,590 --> 00:32:57,950
And oftentimes, you know, we get questions
when we're doing implementations or

647
00:32:57,950 --> 00:32:59,330
start an implementation conversation.

648
00:32:59,750 --> 00:33:00,500
How do we get there?

649
00:33:00,500 --> 00:33:03,590
You know, oftentimes it's, we have scans.

650
00:33:03,980 --> 00:33:08,180
PDFs, you know, that we're hand
drawn of the facility when it was

651
00:33:08,180 --> 00:33:09,560
built a hundred years ago, right?

652
00:33:09,800 --> 00:33:12,560
We can take that, we can digitize
it, we can bring it to the workflow.

653
00:33:12,680 --> 00:33:15,650
You can go out there and, you
know, perform reality capture with

654
00:33:15,650 --> 00:33:18,440
lateral laser scanning and create
the content from point clouds.

655
00:33:18,530 --> 00:33:19,880
It be 2D, 3D.

656
00:33:20,120 --> 00:33:24,620
So there are a lot of, you know,
routes to go to achieve, you know,

657
00:33:24,710 --> 00:33:26,390
kind of these smart campus initiatives.

658
00:33:26,915 --> 00:33:27,635
Indoor mapping.

659
00:33:27,665 --> 00:33:29,855
So it really ties down everything
we're talking about together because

660
00:33:29,855 --> 00:33:34,475
it does involve reality capture,
cap, bim, GIS, asset management

661
00:33:34,475 --> 00:33:36,365
systems, full digital twin.

662
00:33:36,725 --> 00:33:39,095
And it's good that we have
organizations such as yours

663
00:33:39,155 --> 00:33:40,055
that are willing to take it on.

664
00:33:40,355 --> 00:33:40,835
Appreciate it.

665
00:33:40,955 --> 00:33:42,935
No, I mean, it's, it's
fun and pouring work.

666
00:33:42,935 --> 00:33:44,225
I mean, we enjoy doing it.

667
00:33:44,495 --> 00:33:46,805
Now we've, we focus on a few
of the things that you guys do.

668
00:33:46,805 --> 00:33:49,965
Is there anything else you kind of
wanna highlight about what MapIT

669
00:33:50,265 --> 00:33:52,245
or, sorry, Map I.T. works on?

670
00:33:52,590 --> 00:33:53,550
Yeah, absolutely.

671
00:33:53,550 --> 00:33:56,820
I mean, so one of the, one of the newer
things we started to do in-house now is

672
00:33:56,820 --> 00:34:00,510
you know, started to build a lot more
custom tools and we saw a need for that.

673
00:34:00,510 --> 00:34:04,660
While there are a lot of great Esri tools
out there and CAD tools already we were

674
00:34:04,660 --> 00:34:07,780
finding, you know, on some of our large
scale deployments, you know, working with.

675
00:34:08,545 --> 00:34:10,435
Hundreds of schools at a time.

676
00:34:10,745 --> 00:34:14,225
You know, finding little things
that weren't quite there that need

677
00:34:14,225 --> 00:34:17,445
to be, you know, need to be tweaked
to be perfected for our clients.

678
00:34:17,445 --> 00:34:21,655
So we started to do a lot more custom
GS developer work which has been great.

679
00:34:21,655 --> 00:34:24,385
And we've been doing them
both in CAD as well as gi IS.

680
00:34:24,715 --> 00:34:28,585
So that capability has really
allowed us to kind of enhance.

681
00:34:29,110 --> 00:34:31,540
Full digital twin workflow
and a Jason Door workflow that

682
00:34:31,540 --> 00:34:32,800
we providing to our clients.

683
00:34:32,990 --> 00:34:34,610
We've got a lot of good positive feedback.

684
00:34:34,610 --> 00:34:37,970
So that's been something we've
thoroughly enjoyed doing as late.

685
00:34:38,450 --> 00:34:41,120
What is the best way for people
to find out more about Map?

686
00:34:41,290 --> 00:34:41,930
Map I.T..

687
00:34:42,800 --> 00:34:42,980
Yeah.

688
00:34:42,980 --> 00:34:43,760
Ab absolutely.

689
00:34:43,760 --> 00:34:46,310
And so funny you said Map I.T..
Map I.T.. That was kind of

690
00:34:46,310 --> 00:34:47,780
the, kind of the play on words.

691
00:34:47,780 --> 00:34:49,860
When we came up with a name a
while back, we had a Map I.T.,

692
00:34:49,880 --> 00:34:50,780
'cause it's, you know, it's.

693
00:34:51,110 --> 00:34:53,900
It's, I it's got that it word in
it's fresh, but you could also

694
00:34:53,900 --> 00:34:57,140
say we Map I.T.. So, you know, it
did funny you, you, you said that.

695
00:34:57,240 --> 00:34:59,520
But people would definitely reach
out to us through our website.

696
00:34:59,520 --> 00:35:01,440
My contact information's on there.

697
00:35:01,480 --> 00:35:04,870
You know, I, I love talking about
this stuff, so I'm connecting

698
00:35:04,870 --> 00:35:06,520
on LinkedIn through email.

699
00:35:06,570 --> 00:35:09,300
You know, we, we, we are
pretty active on LinkedIn.

700
00:35:09,610 --> 00:35:13,150
So, so we post frequently about kinda what
we're doing, what we've been working on.

701
00:35:13,400 --> 00:35:16,940
So by any, by any of those means
you know, we'd be happy to connect.

702
00:35:17,285 --> 00:35:17,645
Okay.

703
00:35:18,305 --> 00:35:20,225
Well thanks for your time today.

704
00:35:20,675 --> 00:35:20,975
Awesome.

705
00:35:20,975 --> 00:35:21,755
Thanks for having me

706
00:35:29,765 --> 00:35:30,695
onto the events corner.

707
00:35:32,075 --> 00:35:37,505
As always, go out, visit events, find
out new information, but of course,

708
00:35:37,505 --> 00:35:43,145
more importantly, talk to people
in the hallways at lunch, wherever.

709
00:35:44,135 --> 00:35:47,435
The state of the Map 2025 is taking
place October 3rd through the

710
00:35:47,435 --> 00:35:49,475
fifth in the Philippines in Manila.

711
00:35:50,315 --> 00:35:55,235
Spatial Data Science Conference,
SDSC 2025 is taking place October

712
00:35:55,235 --> 00:35:57,575
14th through 15th in New York City.

713
00:35:58,295 --> 00:36:00,605
Of course, if you'd like us to add
your event to the podcast, send us an

714
00:36:00,605 --> 00:36:02,195
email to podcast to very spatial.com.

715
00:36:02,495 --> 00:36:05,855
If you'd like to reach us individually,
I can be reached at sue@veryspatial.com.

716
00:36:06,470 --> 00:36:08,780
I can be reached at barb@veryspatial.com.

717
00:36:09,110 --> 00:36:13,070
You can reach me atFrank@veryspatial.com
and I'm available, but kind to spatial.

718
00:36:13,070 --> 00:36:15,320
And of course, you can find all
of our contact information over

719
00:36:15,320 --> 00:36:18,320
at very spatial.com/contact.

720
00:36:18,650 --> 00:36:19,250
As always,

721
00:36:19,670 --> 00:36:20,930
we're the folks from very spatial.

722
00:36:21,080 --> 00:36:21,800
Thanks for listening.

723
00:36:22,440 --> 00:36:23,630
We'll see you in a couple weeks.

724
00:36:38,930 --> 00:36:41,240
Run far from a broken home.

725
00:36:44,660 --> 00:36:45,710
Smile through the.

726
00:36:45,785 --> 00:36:50,495
Great unknown, like nothing's wrong.

727
00:37:08,070 --> 00:37:10,170
Drinking water from the garden home,

728
00:37:13,980 --> 00:37:19,555
acting like we're six years
old with the lights on.

729
00:37:28,315 --> 00:37:28,435
I.

730
00:37:57,555 --> 00:37:57,675
I.

731
00:38:12,730 --> 00:38:13,630
To feeling like

732
00:38:23,310 --> 00:38:23,430
I.

