Episode Transcript
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Speaker 1 (00:37):
Thank you, so
definitely check that out.
I am super pleased to introduceour guest speaker today.
Mark Oden is the CEO of BIMDesigns.
With over 10 years of SiliconValley experience in tech
leadership, mark has beeninstrumental in scaling BIM
Designs into a leading nationalcompany in union detailing,
modeling and consulting services.
(00:58):
He holds a master's inelectrical computer engineering
and has significantlycontributed to AI machine
learning through his role as COOof Taskware.
Mark is a recognized speaker atindustry conferences and, I
guess, hosts on notable podcastssuch as the Future Construct
and Bridging the Gap.
Thank you so much for beingsuch a pioneer in the AEC
(01:20):
industry, mark, and for joiningus today.
Speaker 2 (01:24):
Thank you, misty,
thank you so much for being such
a pioneer in the AEC industry,Mark, and for joining us today.
Speaker 1 (01:28):
Thank you, Misty.
Thank you so much for having me.
Absolutely, and we also haveour panel expert.
Matt Dillon is the consultingservices director at Applied
Software Great Tech Group.
Thank you so much for joiningus as well, Matt.
Speaker 3 (01:37):
Thank you, misty,
glad to be here.
Speaker 1 (01:40):
Awesome, and we will
get things rolling with a couple
of poll questions for you guys,so I will push those to the
screen here.
All right, let me know if youcan see them.
The first question here is isyour firm embedded in the
(02:00):
pre-construction process and astakeholder in the delivery of
high quality BIM?
Your answers here yes, no, oryou could answer yes and no, but
I would love to collaborate onbest BIM tools and practices.
So you can choose number three.
And it's saying that you wouldlove to collaborate on best BIM
tools and practices.
So you you can choose numberthree and it's saying that you
would love to collaborate onbest BIM tools and practices.
(02:23):
So you can go ahead and markyour answers there.
And we've got the answerscoming on in.
We've got a significant yes andsome people would love to
collaborate as well.
Love it, all right, and I amgoing to end that poll so we can
(02:49):
move to the next one, all right?
So for our second poll questionhere, has your organization
(03:10):
implemented AI in any capacitywhatsoever?
So you could answer yes, youcould answer no, or you could
answer three, which is yes andor no.
But I would love to support inexploring the possibilities.
We've got those coming onthrough.
I see some um interest here inexploring more.
(03:35):
I love to see that.
All right.
Now our third poll questionhere does your firm have an AI
(03:59):
tool decision matrix withethical guardrails considered
yes, no, or yes and or no?
I would love support inrevising or creating one.
All right, all right.
(04:22):
Even more interest here inlearning more.
So that's awesome to see.
All right.
So those were the pollquestions for today.
Thank you so much for engagingwith us and Jamil.
I'm sorry, mark, I will goahead and turn things over to
you so you can get thingsrolling.
Speaker 2 (04:45):
Thank you so much,
misty, for your kind
introduction managing the poll.
I'm excited to see thoseresults as well.
And especially thank you toApplied Software for providing a
platform for our firm to shareideas and stoke positive change
in the construction community.
And thank you, matt Dillon, forhosting the Q&A later today.
Our firm has enjoyed partneringwith Applied Software over the
(05:06):
last five years in mutuallycreating impactful and positive
change and providing a greatservice to the industry.
I'm thrilled to speak aboutthis topic.
It's something I hold dear tome.
I'm looking forward to myconversation with Matt and I'm
very much looking forward tohearing the audience in the Q&A
and, having already seen theresults of the polling in the
webinar Today, I'll share myvision with you on how I feel AI
(05:28):
will impact buildinginformation modeling.
Towards the end of thepresentation, I'll share with
you 18 AI tools that are in themarket today and could be useful
for your firm in the Q&Asection.
And in the Q&A section, I cantalk about the elephant in the
room.
How dangerous is AI really Fornow, though in the near term, I
(05:49):
do believe that AI tools will beused to augment and improve our
work experience.
In the midterm, I believe thatAI tools will elevate many of
the industry's technical mindsto subject matter experts and
implementation consultants and,in the far term, there will be
far-reaching impacts andintegration of AI into nearly
every element of our lives.
The concepts I will speak toyou about today are
future-looking and, in additionto building this company over
(06:10):
the last six years, I'veinvested heavily in developing
innovative concepts like thesethat I will present, having
performed internal R&D as wellas met with a number of
early-stage companies to developjoint partnership ventures and
go to market arrangements.
If you and your company areworking on such ideas or
interested in collaborating, Iwould love to hear from you.
Even in our current work, youare likely using some form of
(06:36):
artificial intelligence via realtime collaboration, robotics on
construction sites and planningand scheduling.
The most attainable exampleswould be the text autocomplete
in your email program that manyof you have likely already seen
and noticed.
In addition to the day-to-daytools already in use or soon to
be in use, how will AIrevolution building, information
(06:56):
modeling?
Some questions to askthroughout the presentation
would be how will your firmdecide on and integrate these
tools?
How will your firm decide whichguardrails to consider in your
tool selection, if you're notalready thinking about these
questions.
Our firm would love tocollaborate with you.
In the meantime, I'd like totake you on a visionary journey.
Please join me.
(07:22):
In the dynamic landscape of theconstruction industry, the
intersection of artificialintelligence and building
information modeling marks atransformative paradigm shift.
This synergy, fueled byadvanced algorithms and machine
learning, brings forth a wave ofinnovation that deeply impacts
various facets of constructionprocesses.
Consider the project planningprocess, where AI algorithms
(07:46):
analyze historical data, projectspecifications and external
factors to optimize scheduling.
Through machine learning, thesealgorithms adapt to evolving
conditions, predicting potentialdelays and providing actionable
insights for proactive decisionmaking.
This not only enhances projectefficiency, but also
(08:08):
significantly contributes totimely project delivery.
Moreover, ai-driven BIM excelsin improving accuracy throughout
the construction lifecycle.
During the design phase,intricate details and complex
geometries are meticulouslyhandled by AI algorithms,
minimizing errors and ensuringprecision.
This not only mitigates therisk of design flaws, but also
(08:29):
contributes to a reduction inrework, translating to a cost
savings for stakeholders.
Collaboration withinconstruction teams undergoes a
revolutionary transformationwith the integration of AI into
BIM workflows.
Advanced algorithms facilitateseamless communication among
architects, engineers andcontractors.
Real-time data sharing andinstant updates ensure that all
(08:53):
stakeholders are on the samepage, fostering a collaborative
environment that acceleratesdecision-making and minimizes
the likelihood ofmiscommunication.
In essence, this amalgamationof AI and BIM is not merely a
technological leap.
It's a catalyst for a new eraof construction excellence.
By harnessing the power ofartificial intelligence,
(09:30):
construction professionals areempowered to navigate complex
challenges with greaterforesight, efficiency and
precision, ultimately redefiningindustry standards and paving
the way for innovative andsustainable construction
practices.
Let's continue our journey intothe evolution of design
(09:50):
processes within theconstruction realm, where the
marriage of AI and BIM takescenter stage.
This exploration reveals theseamless integration of AI into
BIM workflows, unlocking thepossibilities that redefine the
landscape of smart and efficientdesign.
Imagine a scenario wherearchitects are engaged in
designing a complex structure.
Where architects are engaged indesigning a complex structure,
(10:11):
ai algorithms embedded withinthe BIM framework analyze
historical design data, localbuilding codes and environmental
factors.
By doing so, they assistarchitects and construction
professionals in generatingdesign iterations that not only
comply with regulations, butalso optimize for sustainability
and energy efficiency.
This not only accelerates thedesign phase, but also ensures
(10:34):
that the final structure alignswith contemporary standards for
environmental consciousness.
As design iterations progress,smart algorithms play a pivotal
role in streamliningdecision-making processes.
Ai evaluates the implicationsof design choices in real time,
considering factors such asmaterial costs, construction
(10:54):
feasibility and energyefficiency.
Architects and engineers canthus make informed decisions
swiftly, optimizing the designfor both functionality and
cost-effectiveness.
Furthermore, the integration ofAI into BIM workflows empowers
design professionals to breaknew ground on sustainability and
innovation.
Smart algorithms can analyzedata related to sustainable
(11:17):
building materials, energyconsumption patterns and
environmental impact.
By leveraging this information,architects, engineers and
construction professionals cancollaboratively create
structures that not only meetaesthetic and functional
requirements, but alsocontribute positively to the
environment.
In essence, the synergy betweenAI and BIM and design processes
(11:40):
is a game changer.
It propels constructionprofessionals into a realm where
the iterative nature of designis augmented by intelligent
algorithms, fostering creativity, sustainability and efficiency.
This integration representsmore than a technological
advancement.
It is a paradigm shift towardsa future where smart design is
synonymous with thoughtful,informed and sustainable
(12:02):
construction practices.
Immerse yourself in theimpactful role of artificial
intelligence in the realm ofconstruction as we unveil the
prowess of AI-driven clashdetection, a technological
marvel revolutionizing theconstruction phase.
Through cutting-edgeapplications of AI within
(12:23):
building information modeling,we witness a paradigm shift in
identifying and mitigatingclashes, paving the way for
error-free constructionprocesses.
Clashes paving the way forerror-free construction
processes.
Consider this large-scaleconstruction project where
multiple disciplines contributeto the BIM model architectural,
structural and mechanical,electrical and plumbing, as well
as other traits.
Ai algorithms meticulouslyscrutinize these intricate
(12:44):
models, detecting potentialclashes among various components
, such as duct conflicting withstructural elements or
electrical conduits intersectingwith plumbing systems.
In traditional approaches,clash detection often relies on
clash detecting tools that maynot consider how and why the
clash exists, leading totime-consuming coordination.
However, ai analyzes the BIMmodel at a granular level,
(13:08):
predicting clashes with a highdegree of accuracy.
This not only expedites thedetection process, but also
captures subtle clash nuancesthat might be overlooked.
The impact of AI-driven clashdetection extends beyond mere
identification.
It catalyzes a smootherconstruction process by
facilitating proactive problemsolving.
Upon identifying clashes, aialgorithms provide detailed
(13:31):
reports highlighting clashlocations and suggesting
alternative design solutions.
This empowers project teams toaddress issues swiftly,
minimizing the need forextensive rework and revisions
during the construction phase.
The tangible benefits aresubstantial, translating into
considerable time and resourcesand savings.
Translating into considerabletime and resources and savings,
(14:09):
with AI at the forefront ofclash detection, exemplifies the
convergence of advancedtechnology and construction,
offering a transformativesolution to an old-age challenge
.
Witness the tangible impact ofaccelerating error-free
construction, as AI takes centerstage in enhancing clash
detection within BIM models,setting new standards for
precision, efficiency andresource optimization in the
(14:31):
construction industry.
Within the same large-scaleconstruction project being
imagined, which involvesmultiple stakeholders and
intricate design specifications,through AI analytics integrated
into the BIM framework, vastdata sets encompassing
everything from projecttimelines to resource allocation
(14:52):
, to material costs and energyconsumption are systematically
processed and analyzed.
The AI algorithms not onlyextract meaningful patterns from
this data, but also predictpotential challenges and
opportunities.
For project managers, thismeans having a comprehensive
understanding of projectdynamics in real time.
Ai-based analytics can provideinsights into the progress of
(15:14):
different construction phases,identify bottlenecks and predict
potential risks.
Armed with this information,project managers can make
data-driven decisions tooptimize workflows, allocate
resources more efficiently andensure the project stays on
course.
Moreover, ai analytics and BIMempower stakeholders to make
informed choices that extendbeyond the construction phase.
(15:36):
For instance, in the realm offacility management, data-driven
insights derived from BIMmodels can inform decisions
about maintenance schedules,energy efficiency enhancements
and space utilizationoptimization.
This holistic approach ensuresthat the benefits of AI
analytics continue to manifestthroughout the entire lifecycle
of a built environment.
(15:57):
The synergy between AI and BIMand data-driven decision-making
transcends the immediate project.
Its impact echoes throughoutthe industry Stakeholders, armed
with actionable insights,become architects of change,
steering construction practicestowards greater efficiency,
sustainability and innovation.
In essence, the integration ofAI analytics into BIM not only
(16:17):
unlocks the potential of data,it reshapes the decision-making
landscape, ushering in a new erawhere informed choices drive
the success of the constructionindustry.
As I bring you into the lastchapter of our journey, let's
cast our gaze into the future ofconstruction collaboration,
unveiling the profound impact ofAI on the coordination and
(16:40):
communication dynamics withinBIM.
Immerse yourself into alandscape where AI-enhanced BIM
transcends conventionalboundaries, fostering seamless
collaboration among diversestakeholders, architects, trade
partners and beyond.
Witness firsthand how thisfusion of technologies propels
the industry towardsunprecedented levels of
transparency, real-timeinteraction and success in
(17:01):
constructing sustainable andinnovative projects.
Ai-enhanced BIM acts as theconnective tissue of a
geographically dispersed team ofconstruction professionals,
facilitating seamlesscommunication across
geographical boundaries.
Language barriers are overcome,as AI algorithms assist in
translating designspecifications and project
(17:22):
updates in real time, ensuringthat all stakeholders,
regardless of location, are onthe same page.
In the realm of projectcoordination, ai becomes the
orchestrator of synergy.
Consider a situation wherechanges to the design are
required due to unforeseencircumstances.
Ai algorithms, with theirability to analyze the entire
BIM model and assess theimplications of design
(17:44):
alterations, swiftly communicatethese changes to all relevant
parties all relevant parties.
This not only expeditesdecision-making, but also
ensures that every stakeholderis aware of modifications in
real-time, minimizing the riskof divergent interpretations.
Transparency is a cornerstoneof successful collaboration and
AI within BIM can serve as abeacon of clarity.
(18:04):
Stakeholders have access toreal-time project data, progress
updates and potentialchallenges.
This transparency cultivates ashared understanding of project
objectives and constraints,fostering a collaborative
environment where everyone isempowered to contribute
meaningfully to the project'ssuccess.
In this journey of peering intothe future, the impact of
(18:25):
AI-enhanced collaboration andcoordination extends beyond
immediate project benefits.
The ripple effect is feltacross the industry as a whole,
setting a new standard of howconstruction projects are
executed.
The fusion of AI and BIM notonly enhances efficiency, but
also paves the way forsustainable and innovative
construction practices,positioning the industry at the
(18:46):
forefront of technologicaladvancement and collaborative
excellence.
Thank you for taking thisforward looking journey with me.
I'd love to now share with youa sample of tools that are
already in the market today.
While the concept of AI is stillnascent and much of what I have
presented today is a vision ofthe future, there are tools
today that actively use AIconcepts and can be integrated
(19:07):
into your company today.
I definitely welcome theaudience to take a screenshot of
this if they would like, aswell as the next slide, which is
several sources used to preparethis presentation.
What makes the tool is thereal-world application of the
concept.
Again, in the near term, Ibelieve that AI tools will be
(19:29):
actively used to augment andimprove our work experience.
In the midterm, I believe thatAI tools will be actively used
to augment and improve our workexperience.
In the midterm, I believe AItools will elevate many of our
industry's technical minds tosubject matter experts and
implementation consultants andin the far term, there will be
far-reaching integration of AIin every element of our lives.
The tools presented here are forideation only.
(19:49):
There may be better, suitablealternatives based on your
company's needs and know whatyou're buying.
Is it sold as AI but is reallya non-AI computational model?
Must the product have AI to beuseful?
What process should a companyfollow to find the best tools to
use?
Is your firm already working oncompiling a needs list?
(20:11):
How will the companysuccessfully implement and
integrate this tool For thevision outlined today?
Future tools will requiretremendous amounts of data,
collaboration and investment tocome to fruition.
I'm so excited to be at theforefront of this vision and so
excited to share it with you,and excited to see the tools
that continue to materialize.
Thank you for your time.
Speaker 1 (20:37):
Thank you so much.
Speaker 2 (20:39):
Oh yes, ma'am.
Thank you, misty.
Just have a couple more slideson the sources and then a little
bit about us as well.
So I jumped the gun there,misty.
That's okay, Thanks, but do wantto say that this is definitely
a snapshot into our lives, aview into our lens areas our
firm is investing in, and asmall essence of what is
(21:00):
possible, what is coming andwhat we're all working with.
Do you need help in performingany of these needs-based
assessments for AI tools whichwould best bring AI and help you
integrate, or are you seekingBIM consulting, detailing or
scanning services?
If your questions don't getanswered in the Q&A today or you
would like to learn more, Iwould love to continue the
(21:20):
conversation, and I'm bestreached at moden, at
bimdesignsnet.
And once again, I do want tothank you so much for making the
time to hear me today.
Time is our most valuable assetand I treasure that you would
spend your time with me, and I'mexcited to transition to the
Q&A portion.
Speaker 3 (21:37):
Okay, thanks, Mark.
Let's talk about that elephantin the room that you mentioned.
We hear about it all the time.
Is the danger of AI real?
Speaker 2 (22:01):
Yeah, thank you for
asking, Matt, and I do know that
there's a lot of publicity onit and you know there's a lot of
science fiction movies aboutwhat is possible and a lot of
the science fiction.
I feel that this will be theprimary how all of us typically
primarily see AI, and I also seethat Pandora's box is wide open
.
Ai is currently programmed byhumans and humans set those
(22:24):
ethical guardrails for AI.
So well-defined ethicalguardrails will reduce the
quote-unquote real danger of AI,and I do believe personally
that there's a need forregulation and oversight in
developing AI at the corporatelevel and the government level.
And the question of how tomanage and collaborate with AI
(22:44):
will have to be answered, as hasbeen answered and constantly
being answered in human-to-humancollaboration as well
constantly being answered inhuman-to-human collaboration as
well.
Speaker 3 (22:58):
Great, great.
So AI-powered CEOs are anintriguing concept.
Can you explain how AI is beingutilized to augment the
decision-making and leadershiprole of a CEO in a company like
BIM Designs?
Speaker 2 (23:05):
Sure.
Thanks for asking.
Yeah.
So, for those that may not beaware, this is a reference to
Mika, who is an AI robot that aPolish beverage company, named
Diktador, announced in 2023.
So I put a little bit ofthought into this, since that
made some big news wavesinternationally and within the
(23:28):
AI community.
Internationally and within theAI community, I think, in
regards to repetitive andnecessary CEO tasks, such as the
sharing and repeating thecompany vision, upholding and
teaching company values,creating simplicity out of
complexity, I really think thatthere's things that an AI
powered algorithm or entity cando wonders on today, and quite
(23:52):
possibly also relationshipbuilding.
You know, there's maybeslightly more sophisticated
elements of seeking investmentand strategic planning and
harnessing the power ofindividual thought and turning
that into group collaboration.
I believe the power of AI hasthe ability to get there, and
we've got, you know, a has theability to get there and we've
(24:14):
got a road to travel to do that.
But I think we will seehumanoid-like or human
representations of thisartificial intelligence, and
learning how to embed that andwork with it and collaborate
with it is really going to beour strength in that that and
work with it and collaboratewith.
Speaker 3 (24:34):
it is really going to
be our strength in that.
Okay, so, with the adoption ofAI in the AEC and the owner
sector, what challenges orconcerns should companies be
aware of and how?
Speaker 2 (24:45):
can they address them
effectively?
Well, I think there's a numberof things to consider and
integrate into thedecision-making process.
So you know, to start, is thetechnology actually AI?
Is it machine learning oranother computational model?
And it's you know, maybe at itsessence.
(25:05):
Is that question necessary, Iwould say, other than knowing
what you're buying and makingsure that you're being
advertised something that trulyis?
Of course, it's so difficult topeek behind the curtains and
even if any of us could, wouldwe be able to understand the
code?
Maybe a select few of us would,but I would, in the essence of
(25:25):
building trust with your vendors, really dig in to understand
what is their engineering andscientific approach to solving
these problems, so that you canmake sure that what is being
sold is what's being bought.
I also lean on the data.
I would want to make sure thatthe data that I'm training the
AI algorithm with is my own datato be able to share, and who
(25:50):
owns that data is a question Iwould want to answer.
I'd also want to build and earntrust with the algorithm.
I wouldn't place trustimplicitly and definitely be on
the lookout for hallucinationsand as far as long-term efficacy
, data volume and accuracy andownership of that data, I
(26:11):
believe, is the currentchallenge and may be for quite
some time, especially for largeenterprises that have
particularly sensitive IPprotection protocols.
A few years ago, I heard aquote from Peter Sandergaard,
who is a senior vice presidentof Gartner, and he says that
information is the oil of the21st century and analytics is
the combustible engine, and inbetween that is the AI.
That information is the oil ofthe 21st century and analytics
(26:32):
is the combustible engine, andin between that is the AI that
interprets the data and producesthe analytics.
So really, a lot of it is goingto come down to the data, the
use of the data and theownership of the data.
Speaker 3 (26:44):
Yeah, you know.
Going back to you know concernsabout the dangers of AI and the
guardrails.
From a leadership perspective,how can the greater construction
community help to ensure thatimplementation of AI
technologies complies withindustry regulations and
standards regarding dataprotection and privacy?
Speaker 2 (27:06):
Yeah, thank you for
the question.
You know, very, very importantquestion, as it's incumbent upon
, you know, companies toself-regulate themselves.
It's incumbent for companies tohold the government accountable
and it's incumbent upon thegovernment to hold companies
accountable through regulationas well.
So it's a, you know, it's asymbiotic effort and it's
something that will takepartnership and collaboration.
(27:27):
And I do feel that to hold theindustry accountable and to
ensure data protection andprivacy, it will absolutely be
necessary to know what one isbuying, to know what data is
being handed over and how thatdata is used by the vendor.
And again, I would look intothe existing or net new needed
IT and IP protectionquestionnaires that may exist
(27:50):
within our firms to understandif they've been augmented for AI
tools and if they need to berevisited or not.
Speaker 3 (28:00):
How has AI-driven
innovation improved efficiency
and precision in the AEC ownersector and what are some of the
real-world examples of theseimprovements?
Are there any?
Speaker 2 (28:10):
Well, I do think it's
too soon to tell.
There are a lot of products outthere Some of those I presented
earlier today and it may bedifficult to measure, since AI
is going to be so heavilyintegrated into the workflows
and there may have to need to.
What are the KPIs that we'readdressing before we implement
AI?
And what are the KPIs we'readdressing before we implement
(28:31):
AI, and what are the KPIs andhow do we take that measurement
afterwards?
So it will be important tomeasure the ROI in that sense,
but it'll take a very consciouseffort to do.
It's difficult but notimpossible.
But I am very excited aboutwhat has already been announced
to the market.
You know, not yet mentioned butbriefly shown in the tools
section was Autodesk, Forma andInfoDrainage, and Autodesk has
(28:55):
really been focusing the lastfew years on creating AI-based
tools that deliver into theconstruction space and
delivering on some of the usecases that I spoke about today.
So I'm very excited to see thepotential of those tools.
In addition, other tools thatoh go ahead, Matt.
Speaker 3 (29:10):
No, I'm sorry, I just
I was just agreeing with you.
Speaker 2 (29:13):
Oh sure, in person.
I'd love to hear your thoughtson on Forma and InfoDrainage as
well.
Speaker 3 (29:18):
Well, to me, that's a
.
That's a really good example ofhow Autodesk is implementing AI
.
They've put a lot of R and D.
Forma is really still in itsinfancy, but it's a platform
that Autodesk has really gottenbehind and we're going to see it
evolve over time to besomething significantly more
(29:38):
than it is.
But even right now, you know,for conceptual design, early
site analysis, getting reallygood concrete feedback at an
early stage of the designprocess as to sustainability,
early stage of the designprocess as to sustainability,
noise impact, site utilization,with really very little effort
on the front end.
It's promising, very promising.
Speaker 2 (30:00):
Yeah, I'm super
excited to see it and I'm
grateful that there's such astrong relationship between ASTI
and Autodesk and BIM Designsand Autodesk that there would be
some ability to see what'scoming out in the future and be
a collaborative participant inthat.
Some other tools to check outwould be tools that improve the
(30:22):
estimating process, likeToggleai and Blueprintsai, as
well as Accounts Payables, toolsthat would integrate AI-like
processes, ai-like tools such asVersaPay and Kensho.
And then there's real-timesharing tools.
I imagine a lot of us or mostof us, if not all of us have
(30:42):
seen popping into a Zoom meetingthat it says, hey, this meeting
is using an AI data companion,so that companion will summarize
meetings and assign actions.
And then imagine, going onestep further, that those outputs
of the AI data companion withinZoom are eventually integrated
with other productivity toolsthat already have AI embedded
into it, like ClickUp, so thatactions can be assigned and
(31:05):
managed automatically.
So a massive streamlining andproject management and project
management and workflows um isis in the near future yeah, yeah
, just something as simple asnote-taking.
Speaker 3 (31:15):
You know we we use,
uh, some ai here at applied
software sometimes for handlingthat and summarizing meetings.
So yeah, um, so do you think Iwill have a great impact in 3d
and panoramic scanningtechnologies and how we acquire
structural data in traditionalbuildings, and how does that
align, if so, with modern designand sustainability standards?
Speaker 2 (31:37):
Yeah, I think in
terms of safety on the job site,
I think applying AI in thisvisual panorama is probably
going to be the most impactful,and we already see tools like
that today.
So I would check outopenspaceai and some other.
I also named drone deployearlier, but another couple of
(31:58):
tools that weren't named earlierwere Doxil and Cupix.
All of those are related aroundcapturing video on the job site
in various forms, analyzingthat video or changes in the
video and then providingrecommendations on that video.
So it could be safety topics.
It could be progress billingand not invoicing until the
(32:20):
progress is complete.
So various tools are out theretoday with great visions.
Other elements not with aspecific tool named, but other
use cases could be like dronesand hard hats and backpack
sensors that are equippedscanners that are equipped with
scanners and cameras to monitorprojects in real time and ensure
(32:42):
that work activity is compliantand with safety and sustainable
standards in a constructionproject.
Speaker 3 (32:49):
And you mentioned
that AI can augment job roles in
the industry.
Can you provide examples of howAI is enhancing those job roles
and shifting the focus frommundane tasks to quality
assurance and quality control?
Speaker 2 (33:01):
Yeah, absolutely.
I do see that there will be amajor uplifting of subject
matter experts and I thinkthat's a great opportunity for
all of us and a couple of thoseareas to bring that subject
matter expertise and I thinkthat's a great opportunity for
all of us and a couple of thoseareas to bring that subject
matter expertise into would belike risk management.
Ai can be used to analyze largevolumes of historical data and
(33:21):
inform project managers tomitigate future risk on the
projects.
Similarly, with schedulingoptimization, AI can consider
resource and materialavailability and weather
conditions and other variablesto inform project managers and
help maintain project schedules.
Speaker 3 (33:39):
So what strategies do
you believe should be
considered to facilitate thetransition for employees,
ensuring that they can adapt andcollaborate effectively with AI
technologies?
Speaker 2 (33:54):
collaborate
effectively with AI technologies
, I think, removing ourselvesfrom the concept that AI will be
all-consuming and a fear-basedapproach.
I really think it's importantfor all of us to lean in from
curiosity.
That'll really yield thehighest level of success.
The benefits of the technologywill absolutely work their way
into all sorts of businessprocesses and they have in many
ways, as has been discussedtoday.
(34:14):
So really, how can eachemployee lean in with that
curiosity and understand whereAI tools can best support their
individual responsibilities?
Speaker 3 (34:25):
Got a few questions
in the Q&A section of the
webinar.
Neil asks if you have anopinion on Firmus.
Speaker 2 (34:36):
I haven't.
I can take a look at it whilewe're live here.
Speaker 3 (34:39):
F-I-R-M-U-S.
Speaker 2 (34:46):
Right, I haven't
heard of them, but just from the
homepage I can see that theythey're in line with the risk
mitigation that was discussedearlier in the in the call, so I
think that's you know thatthat's another tool worth
considering.
Speaker 3 (34:57):
Same same person Neil
is asking.
He sees.
I'll just read the questions,as I see data as being the
biggest challenge, as mostprojects have a number of
different companies who alladdress data differently.
Until we can get all on thesame page, or at least in the
same book, integration is goingto be difficult.
Is there a solution that existsfor that issue?
Speaker 2 (35:19):
Yeah, Neil, great
comments discussing firmus and
firmusai and also this question.
I can't say I'm aware of asolution.
Having been in the technologyspace, my guess is there'll be a
look, a push for an agnosticdata form or tools that will
transform the data to beagnostic.
(35:40):
So that would be a challenge toovercome and those tools may
already exist internally atcompanies that are developing AI
algorithms.
So I definitely agree that theavailability of the data and the
accessibility of the data is achoke point for the growth and
(36:01):
learning curve of algorithms.
Just if you think about it fromthe concept of a BIM model,
it's not possible to do clashdetection when you only have one
model to train from.
It may take thousands ormillions of prior projects,
prior BIM models, to even beable to for the system to even
think about what might be apotential solution.
Speaker 3 (36:24):
One more up, peter.
I think this was kind of alittle bit tongue-in-cheek, but
I think it's a valid questionregardless.
It kind of goes back to thedangers of AI and some of the
fears people have about it, andthe question is how long before
Revit technicians are replacedby AI?
And I think the bigger questionis is AI going to take jobs
(36:44):
away?
Right?
Speaker 2 (36:47):
Yes, it's a very hard
question for me to hypothesize
or predict.
What I believe is that jobswill change.
Repetitive tasks or learnabletasks will become learned by the
system, and that also createsan opportunity for detailers and
(37:11):
or Revit technicians orknowledge subject matter experts
to move to a consultancy basisor quality control basis or
effectively collaborate as theywould an apprentice or as they
would a colleague, collaboratewith the system to co-create the
(37:31):
inevitable solution.
So I don't know that ittechnically replaces and if
there's a timeline fortechnically replacing, and I do
see that the role and how thatday-to-day role is performed may
change and it may changeabruptly or it may change over
time.
Change and it may changeabruptly or it may change over
(37:54):
time.
And my closest recommendationwould be look at the jobs that
AI has already impacted sincelast year and look at how those
jobs have, you know, permutatedand changed and how those
individuals have adapted.
Speaker 3 (38:07):
Yeah, you know I'll
put a little personal anecdotal
touch on this.
You know, back when I was firstgetting started in architecture,
back in the late 70s, early 80s, you know, computers were just
becoming a thing.
People were starting to usethem for work and at home and
there was a lot of concerns thenabout computers taking people's
jobs away.
(38:27):
And I remember, you know, youhad secretarial pools with just
these rooms full of people thatwere doing nothing but typing up
letters and memos and thingslike that for upper level
executives, and you had drafters.
You know you had a whole roomfull of people that were doing
nothing but drafting.
And while those jobstechnically may have gone away,
(38:48):
I think the people that wereperforming them migrated over to
other things.
It just changed their role andit changed the way that they
contributed to the overallproject or the business.
So I think that's really,really that's kind of where I
see AI going, or how AI is goingto impact things as well.
It's not going to take jobsaway, it's just going to change
the way we work together and theway we work and deliver
(39:13):
projects.
Speaker 2 (39:15):
Thanks, matt, and
I'll add to that that the
subject matter expertise ofdetailers, especially our
journeyman detailers, isinstrumental and pivotal in the
construction process today andabsolutely well into the future.
Today and absolutely well intothe future, the buildings could
not be built today without ourjourneyman detailers, and I
(39:45):
really feel that even if thatrole changes to how the tool is
used or, you know, collaboratingmore closely with that tool,
the subject matter expertisethat our detailers have will,
will you know, forever be needed.
Speaker 3 (39:54):
Well, I think that's.
That's all the questions wehave in the Q and a section.
I don't see any more.
So, Misty, I don't know.
I think we may be finished.
Speaker 2 (40:06):
It looks like there
was a request to show the
resource page once more, or itsounds like you'll share that
out, Misty.
Speaker 1 (40:12):
Yeah, that's what I
was going to ask is, while we
wait for any just finallingering questions, allowing
some time for some people totype that in, if you could share
the resources page and then Ican share that out in an email
to all of you guys.
So you have that.
This has also been recorded, soyou guys will receive a link to
the recording to review itwithin 24 to 48 hours.
(40:34):
So if you don't receive eitherof those, you can reach out to
me.
I'm going to put my email inthe chat box here and you can
reach out.
And if you guys have anyadditional questions, want to
learn more, you know, reach outto us.
We'd love to answer thosequestions and connect with you.
But yeah, it looks like wedon't have any more questions.
(40:55):
So thank you all.
Hey, mark, thank you for comingto this webinar.
Matt, you as well.
I know this is such anincredibly important topic, you
know, right now, for manyindustries, including this
industry.
So thank you so much forbringing this to the forefront
and talking through that.
Thank you all for attendingtoday.
We hope it was meaningful andimpactful for you and your
(41:16):
businesses, and we do lookforward to seeing you all on
future webinars.
So have a wonderful rest of theweek.
Speaker 2 (41:22):
Thank you, misty.
Thank you so much, misty, thankyou Matt, thank you, thank you
everybody.