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We are
here at AWS re:Invent and one of the topics

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that we're focused on
is the industrial metaverse.

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With me two experts to discuss it
from Siemens, Stuart McCutcheon.

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He is the VP of Global Sales
and Customer Success.

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He is focused on the industrial metaverse
and right beside me BCG’s Dr.

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Tilman Buchner.

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He is a global leader at
the Innovation Center for Operations

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and Partner and Director at BCG.

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So, Mr.

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McCutcheon, I'm starting with you.

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What is the industrial metaverse?

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So the industrial metaverse-
let's start off with Siemens.

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So Siemens are a leader in virtual design
and simulation.

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We have lots of software that designs
many products and simulates products.

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We're also a leader in manufacturing
and factory automation

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and really bringing together the virtual

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and the physical worlds
together to create a digital twin.

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And then experiencing that digital twin in
an environment

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is really
what the industrial metaverse is about.

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And being able to make decisions
in a simple way.

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Looking at a single pane of glass
over a multitude of different

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pieces of information

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and making those decisions faster.

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That's what it's really all about.

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So, Doctor, we're picking up on what Mr.

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McCutcheon just said. Why do we need it?

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I first, fully agree with
what Stuart said, and the reason

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why is just think of designing, building,
and operating a manufacturing plant

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in today's world
means you need to coordinate work across

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thousands of people, across
organizational boundaries.

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And these people are working
with software applications.

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And these software applications
generate data.

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And this is a very complex process,

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and this is where
the industrial metaverse comes into play.

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It offers you a leap frog in four areas,
which is collaboration,

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simulation,
virtualization, and synchronization.

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So you mentioned a little bit
how Siemens sees this,

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but how does Siemens
play in this ecosystem?

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So it's- We have a Siemens
Accelerator is our platform.

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It's an open ecosystem platform.

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And basically we have to be able
to bring together

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lots of different types of data
into this single environment.

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Right?

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We connect to this data
from a relationships perspective,

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really, in order to synchronize
and extract this information from it.

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So this sounds fascinating.

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What I want to know, Dr. Buchner, is
what are the hurdles?

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Why do companies maybe resist
adopting this technology?

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Well, generally speaking,
there are actually three things

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which prevents companies today.

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One is actually people and organizations.

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So kind of the digital capabilities

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you need to really benefit
from the industrial metaverse.

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Secondly,
is we're talking about tech, yeah.

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So the legacy data and technology
backbone in companies might be a reason.

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So you really need to invest
into an ITOT system

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architecture to be ready to integrate
and benefit from the industrial metaverse.

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And last but not least, it's strategy
because the industrial metaverse offers

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you a huge range of opportunities
and you will need to figure out

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what are the high priority use cases

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which really generate impact
on your particular individual site.

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So picking up on that Mr.

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McCutcheon, do you see these same hurdles,
let's call them?

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Yes, I see the same hurdles, very similar.

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The- and again,
defining those use cases is the key.

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Right.

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We can start today
with industrial metaverse use cases today

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and implement them.

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And over time,
as you build your network of information,

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those use cases get more and more complex.

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So if we talked about the hurdles, I also
have to ask you both what is possible.

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So Dr. Buchner,

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what's possible?
Let me give you a concrete example.

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For example, today
at the start of production, companies

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lack the ability to use the full power
of artificial intelligence. Why?

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Because at start of production,
you don't have training datasets.

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Now, the industrial metaverse,
and especially the idea of synthetic data

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generation and photorealistic
rendering comes into play because

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now we can
in simulation, generate training datasets,

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thanks to the enhancements
in photorealistic rendering

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so that we can train the inferior model
in simulation and deploy

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reality. Concrete speaking

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this means now you can,
for example, identify a quality defect

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at part number one, and this reduces

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actually, the scrap rate
and gives us the ability to save costs.

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That's only possible since 3 to 5 years
because of the industrial metaverse.

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So it has this potential to help
a business run much more efficiently.

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Yes. And today, you know, products
are getting a lot more complex, right?

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You got mechanical electrical software.

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Everything's got software in it now.

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There is a lot more variation
in these products

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and you want to be able to produce them
really quickly.

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All right.

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And we're onboarding a lot of factories
to different

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local locations
for environmental reasons.

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And so we build plants quicker.

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So we have examples where we can now help

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customers build a plant design virtually

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optimize it and launch it, comission it

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within 50% of the time
they used to be able to.

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Well, that's a pretty good headline.
And that's the sort of value

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the industrial metaverse can bring
to our customers. Stuart McCutcheon and Dr.

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Tilman Buchner,
thank you both for your time. Thank you.