Oct. 14, 2025

How Digital Twins Are Revolutionizing Industrial Water and Energy Management

Dr. Slava Libman, co-founder and CEO of FTD Solutions, joins host Sean Grady on the Environmental Transformation Podcast to discuss how digital twin technology is transforming industrial water and energy use. Libman shares FTD’s origin story, explains how digital twins help facilities optimize performance and reduce costs, and explores their impact on sustainability and ESG goals. He also covers real-world applications in semiconductor manufacturing, collaboration through SEMI and IRDS, and how AI and data analytics are shaping the future of industrial efficiency.

Thanks to our sponsors: Cascade Environmental, E-Tank, and WASTELINQ

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In the end of the day, water is
water, energy is energy, and

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optimization is needed
everywhere.

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Everyone is concerned about
cost.

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Everyone, every industry, cares
about water and water

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conservation.
Welcome to the Environmental

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Transformation Podcast where we
bring you interviews with

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industry leaders, climate
champions, sustainability

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practitioners, EHS, and hazmat
professionals making an impact

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in their businesses today.
Each leader solving complex

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challenges and delivering
solutions within their areas of

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expertise.
I'm your host, Sean Grady, and

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thanks for joining us today.
Before we jump in, make sure to

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follow us on your devices and
visit my website at

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www.seankgrady.com and sign up
for our newsletter and e-mail

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announcements.
Now let's get started.

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Welcome to the Environmental
Transformation podcast.

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I'm your host Sean Grady and
today's guest is Doctor Slava

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Liebman.
He's the Co founder CEO of FTD

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Solutions and he has spent his
career at the intersection of

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industrial facilities, ultra
pure water in and environmental

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engineering.
At FTD Solutions, he and his

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team are helping some of the
world's most water and energy

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intensive industries as they hit
their sustainability targets

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through advanced digital twin
technology, water and energy

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management services, and
collaborative approach to

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problem solving.
In this episode, we'll dive into

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FTD Solutions and how they're
transforming industrial water

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and energy use, the impact their
innovation and sustainability on

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their sustainability goals, and
where Slava sees the future of

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industrial ESG where it's
heading.

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So, Slava, welcome to the show.
Thanks Sean, thank you for

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handing me.
Happy to be on the show and

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share with our experience and
thoughts I have.

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Hopefully useful for the
audience.

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Yeah.
Well, why don't we do this?

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Why don't you give us a little
background on FTD solutions and

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maybe like when you started,
give a little bit of the the

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history behind it and then talk
about some of the services or or

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these services you're actually
solving and offering for

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clients.
Yeah, that's probably the origin

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story can give a little bit of
an idea about who we are, what

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we do and and our why.
And I would probably divide this

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into 3 components.
There's a personal journey,

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there's a partnership journey of
of the Co founders and the

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trigger event.
So the personal journey was has

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been very interesting for me.
I started my career at the time

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when water was not a very
fashionable topic.

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There were other areas of
expertise that were more

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attractive to to others.
But I have the strong belief

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that there will be time when
that war is going to be

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recognized, was going to be
recognized as a very important

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for humanity or for industries.
So my environmental engineer

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career started with 12 years of
education.

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My first place of a lot of
practical learning was with

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Intel.
Grade school really learned a

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lot.
And after that, I worked for an

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engineering firm designing new
facilities, new systems, and

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then the managed laboratory.
So I have this privilege of

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seeing the industry,
semiconductor industry from

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different angles, the angle of
the engineer responsible for

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operation, for problem solving,
for specifying needs for the

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facility and then participation
in the construction projects and

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design as well as involvement
with problem solving as part of

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the laboratory experience.
So including analytical

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technology and all this.
So with this journey that helped

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me understand the landscape of
the industry and better

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understand what were the impact
that can be created or value can

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be added on the top of what
existed that time.

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My partnership journey was
meeting while my 2 Co founders

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at the times of the challenging
problem solving.

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And with both we we had a great
connection and excellent

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experience.
And I I would suggest that if

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people are considering to found
to start their own companies to

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to have partners like this with
the experience of actually going

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through challenging both
technical and operational

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situations.
The trigger point for formation

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of FTD was the situation where
one of the semiconductor

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companies had a need to expand
the ultra pure water system and

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was the the company was about to
engage in construction project

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to double capacity of the
system.

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And we had an opportunity to
propose the assessment of of the

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existing system with the attempt
to potentially debottleneck that

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capacity of the existing system.
So between three of us, Dave

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Wass and myself who were able to
figure out creative solutions

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and provide recommendations for
the company that was able to

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avoid the major capital project.
Why this CPN became a trigger?

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Because we not only we were able
to experience a breakthrough, we

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also realized with the help of
of the customer that there was

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no company that has a business
model focus on this style of

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optimization, but basically
taking a complex problem,

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analyzing the complex problem to
the level of details necessary

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and bringing expertise and
creativity to avoid the

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unnecessary capital investment.
So that basically created

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realization that in the entire
supply chain every company is

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playing some role.
Some companies are providing

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equipment, some companies are
designing for construction

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projects, some companies provide
services to support day-to-day

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operation.
But having a a company that is

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organized and designed with a
business model to optimize

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problem solving, to minimize
capital expenditure, to help the

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customers to make decisions that
give that would give them the

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confidence in taking risk on
avoiding capital expenditure and

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doing this at the necessary
level of rigor and quality.

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Those companies to the best of
my knowledge didn't exist that

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time and as far as I know don't
exist right now as well.

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So that was the journey of
founding the company.

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Gotcha, gotcha.
Well, so it seemed, you know,

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reading your website and I had a
previous conversation with you

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earlier, you know, one of the
biggest, I think differentiators

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or the ways that you assist
these companies is by creating a

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digital twin of their actual
operations.

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So you can actually understand
the needs and the balance of

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when water's needed and not and
how it's being, how and when

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it's being used and how much.
And, you know, talk a little bit

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if you could about, you know,
how FT, DS, water, energy,

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digital twins work in practice
and what makes them different

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from traditional facility
management tools, 'cause I think

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that's where the big Nexus here
of this is your, your value

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pitch, right?
Absolutely.

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So I it would be also good to to
bridge between the kind of the

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founding story and the value
proposition.

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So we quickly realised that in
order to be able to help our

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customers to make those
decisions, to minimise risk,

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minimise cost, the idea of the
information management and

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justification for those
decisions was required.

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Certain type of tools and the
tools are needed.

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Those tools are helping to
basically create productivity

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around information gathering.
So for example, if you take any

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expert that needs to deal with
the complex problem solving, the

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approximately 90% of the time of
the experts is going to be

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dedicated to collecting
information, organizing data,

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developing recommendations.
So what we realized that if we

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want to make an impact that and
make an impact at the scale,

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then we need to find a way how
to automate this, this whole

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process of data organization,
data management.

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So this is the reason why why
the platform exists.

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And the and the big difference
between what we are proposing,

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what we're doing and what
happened before we engaged was

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first of all the fact that
there's a lot of different types

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of systems that exist for the
same purpose at the system

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level.
So if you take any complex ultra

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pure water system, wastewater
treatment system reclamation,

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any water system has all the
necessary components for

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operation and control, for
information management and would

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support decision making at the
system level as well.

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What did not exist is the
platform that can help those

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decision makers, whether the
engineers or facility managers

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to make those decisions at the
site level.

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And this is kind of the big
difference.

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So when it, when it comes to the
entire site water management,

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it, it gets really complicated
because we're, we're talking

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about not only a large number of
different systems that now need

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to be considered, including all
the interactions that systems

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have between themselves, but
we'll also need to look at this

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from the holistic point of view.
We need to understand how those

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systems affect each other.
We need to understand how those

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systems affect the
infrastructure, both the

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internal, external, how this
whole complex influences

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environmental compliance,
environmental sustainability.

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And if we talk about water as
example, then those decisions

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made around water what, what,
what the fact that those

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decisions are going to have on
energy, on waste, on air

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emissions, then it becomes
really, really complicated.

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So.
And and the and the cost of

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water itself too, especially if
they're having to pay for it

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from a utility.
Absolutely.

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But I would say that in this
indices the cost of water is

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probably the lowest kind of
element of course that that is

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taken into consideration.
So the the biggest contributor

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to cost would be the time to
market.

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That's the speed of quality
decision making throughout

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construction project and be
first on the market with the

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with the best product.
That's what's really important

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for this industry.
The second factor is yield.

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If ultra pure water quality is
inadequate and that affects

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yield, the impact on the cost is
measured in millions or in some

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cases can be up to billions of
dollars.

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So the the the city water cost
or the wastewater disposal cost

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is not as big as a factor as
some of those costs that we're

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talking about.
And if on the top of that, if we

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add the the system cost and the
operation of those facilities

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that we were really talking
about significant, significant

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numbers here.
So when you work with a client

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and you're a kind of a maybe
initially assessing their

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facility and to basically build
their digital twin of their

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operations.
Is this new to a lot of

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companies?
When you bring this topic up to

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them, I think they're probably
thinking, oh, we at the system

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level, we have all this data.
But when you start to explain

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how you can put it all together
visually and data management

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wise as well to really start
seeing operationally at the site

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level from a management, does
the light bulb go on?

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They go, Oh my goodness, this
would this is exactly what we've

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been missing.
It's, it's a really good

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question because when people get
the experience of working with

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the, with our digital twins and
our processes, they do realize

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the benefits of those.
And, and yes, the light bulb

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would go on, But the way to
demonstrate this, it's sometimes

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it's more difficult to explain
this without showing, without

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actually engaging.
And the reason for that is

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because a lot of ways how people
learn to make decisions and the

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processes and the habits
developed, they do not leave the

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kind of the room for, for a
question like for example, if

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you ask what tools people were
using before they were, they

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started using our software
platform that we're using Excel

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spreadsheets.
If you're using Excel

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spreadsheets and you're making
decisions, you don't really have

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a way to even know that whether
decision is optimal or sub

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optimal because you're doing
this in certain fashion that you

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basically that's part of your
normal way of doing business.

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Or for example, if we talk about
construction projects that quite

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often the construction projects
would be in a way outsource to

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00:15:10,720 --> 00:15:13,360
the general contractors and the
general contractors would be

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doing assessment and analysis in
the best way possible for them

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and they would come back to the
customer with specific

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recommendation.
And they even in this case, if

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there's no platform of modeling
simulation is using this

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communication, then there's just
no requirement for doing that.

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And the and the typical
processes would just skip this

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opportunity and by doing that
would also have will not have

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the ability to even know what's
optimal or suboptimal.

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If you if you, if you don't have
experience of doing that, you

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may not know that there's a
better way of doing that.

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Is it?
Do I have an easy answer for the

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question?
I, we're, we're still

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discovering how to basically
present the opportunity without

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having the experience of
showing.

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So the case studies help and
sometimes we do presentations,

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00:16:12,000 --> 00:16:15,360
even mutual presentations
together with the customers to

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00:16:15,360 --> 00:16:19,160
help others understand.
Yes, but there's there's

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00:16:19,160 --> 00:16:22,400
definitely an opportunity here.
Absolutely.

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00:16:22,440 --> 00:16:26,720
Well, let's talk about maybe you
know, a customer impact.

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00:16:27,160 --> 00:16:29,720
Can we talk a little bit of
maybe share real world, real

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00:16:29,720 --> 00:16:33,840
world example where water
management as a service or

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00:16:33,840 --> 00:16:37,000
energy management tools have
helped the client hit major

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00:16:37,000 --> 00:16:41,480
sustainability milestones?
Yeah, there have been quite a

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00:16:41,480 --> 00:16:45,600
few examples over 8 plus years
of the company operation.

238
00:16:46,600 --> 00:16:52,160
I I would probably use examples
focusing on three different kind

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00:16:52,160 --> 00:16:56,240
of use cases.
Sure, 1 is a Greenfield

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00:16:56,240 --> 00:16:59,080
construction project.
The interesting example of

241
00:16:59,080 --> 00:17:04,079
Greenfield construction project
is that were the time to market

242
00:17:04,079 --> 00:17:09,920
drives fast decisions.
So for companies that have

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00:17:10,839 --> 00:17:16,440
tradition of making decision
based on copy exactly, then copy

244
00:17:16,440 --> 00:17:20,960
exactly was in the way enabling
factor for fast decisions.

245
00:17:21,560 --> 00:17:26,240
But if there's no copy exact
solution that can enable next

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00:17:26,240 --> 00:17:28,840
generation, then it becomes a
little bit more complicated.

247
00:17:29,320 --> 00:17:33,240
The other point is that the copy
exactly was actually not a

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00:17:33,240 --> 00:17:38,840
better idea when when you need
to build a semiconductor

249
00:17:38,880 --> 00:17:43,480
factory.
But the water infrastructure is

250
00:17:44,200 --> 00:17:48,160
a slightly different story
because the water circularity is

251
00:17:48,160 --> 00:17:52,160
a relatively new theme.
Water circularity was not

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00:17:52,160 --> 00:17:57,320
required in the past, but in the
recent years, what changed is

253
00:17:57,320 --> 00:18:01,920
that the the facilities became
so large.

254
00:18:02,160 --> 00:18:06,200
So whatever facilities are
currently under construction,

255
00:18:06,480 --> 00:18:11,320
we're talking about almost 2
orders of magnitude larger than

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00:18:11,480 --> 00:18:13,840
the generations of facilities
before.

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00:18:14,240 --> 00:18:18,840
So in this case, the required
infrastructure, the amount of

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00:18:18,840 --> 00:18:24,520
water that is needed to operate
those gigafactories,

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00:18:24,520 --> 00:18:27,640
semiconductor gigafactories is
substantial.

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00:18:28,120 --> 00:18:32,120
The sustainability pressure
requires water conservation and

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00:18:32,120 --> 00:18:35,880
water management.
The compliance adds more

262
00:18:35,880 --> 00:18:38,920
complexity.
And if you take all this ideas

263
00:18:38,920 --> 00:18:43,320
and you put this in the context
of each one of the facility site

264
00:18:43,320 --> 00:18:48,080
specific conditions, then it
becomes apparent that every

265
00:18:48,080 --> 00:18:51,640
facility requires site specific
optimization.

266
00:18:52,240 --> 00:18:56,360
What this means that even if
facility is built based on copy

267
00:18:56,360 --> 00:19:00,080
exact principle, which is
becoming less and less popular

268
00:19:00,360 --> 00:19:05,080
recently, then for even for
those cases the infrastructure

269
00:19:05,080 --> 00:19:09,680
needs consideration for the
local climate, local

270
00:19:09,680 --> 00:19:14,480
infrastructure limitations,
environmental compliance and

271
00:19:14,480 --> 00:19:18,120
other factors that are specific
for that particular facility.

272
00:19:18,600 --> 00:19:23,360
So now if I put this in the
context of the Greenfield

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00:19:23,360 --> 00:19:29,240
construction project, what is
the leader who is expected to

274
00:19:29,240 --> 00:19:32,080
make decision?
What is that leader going to do

275
00:19:32,400 --> 00:19:35,240
if we're talking about
exponentially increasing

276
00:19:35,240 --> 00:19:39,360
complexity when we talk about
budgets and billions of dollars

277
00:19:39,360 --> 00:19:45,920
would be and and we talked about
site specific need to optimize

278
00:19:45,920 --> 00:19:48,520
and make decision.
This one becomes really

279
00:19:48,520 --> 00:19:51,240
interesting.
So I would say that this is one

280
00:19:51,240 --> 00:19:58,000
of those classical examples
where simulating the the future

281
00:19:58,280 --> 00:20:03,200
facility with with the digital
twin, in this case the digital

282
00:20:03,200 --> 00:20:08,280
twin that gets information not
only from the history of the

283
00:20:08,280 --> 00:20:11,640
previous projects.
But also from the industry road

284
00:20:11,640 --> 00:20:15,800
map, from industry standards and
other sources, then we have an

285
00:20:15,800 --> 00:20:22,280
opportunity to create this
vision for optimized to the site

286
00:20:22,280 --> 00:20:26,600
specific conditions, what
infrastructure of super complex

287
00:20:26,600 --> 00:20:30,640
facility.
As a result, what this is

288
00:20:30,640 --> 00:20:35,600
providing is not only ability to
meet sustainability goals, but

289
00:20:35,600 --> 00:20:39,040
also to meet other goals in
doing this with the minimum cost

290
00:20:39,400 --> 00:20:42,720
and with the minimum risk.
This is one of one of the things

291
00:20:42,720 --> 00:20:47,520
that became obvious that you can
build facility and organize

292
00:20:47,520 --> 00:20:50,720
water infrastructure in so many
different ways, but it's only

293
00:20:50,720 --> 00:20:54,800
one way that can help to meet
the goals at minimum quasi

294
00:20:54,800 --> 00:20:57,280
minimum risk.
So this is just one of the

295
00:20:57,280 --> 00:21:03,400
examples of of the case study of
the use case were we were able

296
00:21:03,400 --> 00:21:08,880
to collaborate with the customer
and reveal an opportunity to to

297
00:21:08,880 --> 00:21:13,760
extract substantial value, not
so much from the software as a

298
00:21:13,760 --> 00:21:17,760
software, but it's more from the
information and collaborative

299
00:21:17,760 --> 00:21:20,480
expertise that is necessary for
those decisions.

300
00:21:20,640 --> 00:21:25,000
Is it most impactful for a
company to engage you guys like,

301
00:21:25,000 --> 00:21:27,840
you know, Greenfield type
project just described at the

302
00:21:27,840 --> 00:21:30,680
very beginning of the design
process?

303
00:21:31,160 --> 00:21:34,160
You know, not, not after the
plants been designed and built

304
00:21:34,160 --> 00:21:37,400
and you just coming in to find,
tweak or, or optimize something

305
00:21:37,400 --> 00:21:40,880
that's already existing.
But to really have, I guess

306
00:21:40,880 --> 00:21:45,600
maybe an impact or an
engineering impact in, in the

307
00:21:45,600 --> 00:21:49,120
way they design and structure
the, the, the the facility

308
00:21:49,120 --> 00:21:53,040
itself is do you get to that
level of optimization with, with

309
00:21:53,040 --> 00:21:55,000
the customer?
Yeah.

310
00:21:55,000 --> 00:22:01,560
If, if I could restate the
question in the way of we're the

311
00:22:01,560 --> 00:22:07,760
highest value that can be
achieved out of the use of of

312
00:22:07,760 --> 00:22:11,040
this technology.
I would say given the fact that

313
00:22:11,040 --> 00:22:15,080
this technology is intended to
support decisions, every

314
00:22:15,080 --> 00:22:20,480
decision from day zero that is
going into defining water

315
00:22:20,480 --> 00:22:25,000
infrastructure, the value is
going to be the highest in the

316
00:22:25,000 --> 00:22:28,080
very first decision and the
second decision a little bit

317
00:22:28,080 --> 00:22:30,440
lower and the third decision a
little lower etcetera, etcetera.

318
00:22:30,440 --> 00:22:34,520
So if I put this in the context
of the question in the beginning

319
00:22:34,520 --> 00:22:36,960
of design is already not the
highest value.

320
00:22:37,600 --> 00:22:40,320
The highest value is going to be
first of all in the site

321
00:22:40,320 --> 00:22:45,560
selection when the when the
company needs to decide where to

322
00:22:45,560 --> 00:22:50,480
build the facility, because
water infrastructure is probably

323
00:22:51,280 --> 00:22:54,960
one of the more, if not the most
critical infrastructure for the

324
00:22:55,480 --> 00:22:59,720
for the new construction.
And then from that point, any

325
00:22:59,720 --> 00:23:03,800
decisions that are made on the
customer side, even before

326
00:23:03,800 --> 00:23:08,360
engaging engineering firm, even
before beginning of the design

327
00:23:08,360 --> 00:23:13,320
process, a lot of those
decisions are needed in order to

328
00:23:13,800 --> 00:23:18,720
justify budgets, define division
and even the scope in the

329
00:23:18,720 --> 00:23:22,600
project for design.
That's where we we are involved

330
00:23:22,600 --> 00:23:25,240
and where, where the value is,
is the biggest.

331
00:23:25,960 --> 00:23:31,160
What's really important from
that point is to continue

332
00:23:31,560 --> 00:23:37,640
following all the cycles of the
decisions from from design into

333
00:23:37,640 --> 00:23:42,520
construction into commissioning
and then operation, because the

334
00:23:42,520 --> 00:23:48,440
value of those decisions needs
to be not only turn into

335
00:23:48,440 --> 00:23:52,040
execution, but also retained
throughout the whole process.

336
00:23:52,040 --> 00:23:56,600
Because the biggest concern is
every construction project is

337
00:23:56,600 --> 00:23:59,480
about changes.
It's about change management.

338
00:23:59,960 --> 00:24:03,080
So what's happening that in the
construction projects with all

339
00:24:03,080 --> 00:24:08,360
the forces external and external
that require changes, then

340
00:24:09,400 --> 00:24:14,680
unless people maintain kind of
that the same vision for for the

341
00:24:14,680 --> 00:24:20,080
value proposition, unless this
value what I call is retained

342
00:24:20,360 --> 00:24:25,360
throughout the project cycle.
We we have experience of seeing

343
00:24:25,600 --> 00:24:30,080
how the great idea and the great
vision eventually resulted in

344
00:24:30,080 --> 00:24:34,400
the outcome that is different
and quite often support.

345
00:24:34,920 --> 00:24:37,720
Hello ET Nation, I want to thank
you for listening to the

346
00:24:37,720 --> 00:24:39,200
podcast.
If you're enjoying the

347
00:24:39,200 --> 00:24:42,080
interviews we bring you,
consider supporting the program

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by visiting my website at
seankgrady.com and buy me a cup

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of coffee.
Proceeds will go towards helping

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content and offset production

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costs.
I'd also like to take a moment

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So you partner with APM that's

392
00:27:16,120 --> 00:27:23,360
been hired to do the design for
maybe a manufacturing company to

393
00:27:23,360 --> 00:27:27,160
assist them with this whole
planning and, and assessment of

394
00:27:27,160 --> 00:27:31,960
the, the layout and the design
and, and the bringing the data

395
00:27:31,960 --> 00:27:33,560
together.
So it's all connected.

396
00:27:33,560 --> 00:27:37,640
Is that is that accurate?
Kind of yes, but the the only

397
00:27:37,720 --> 00:27:42,280
the caveat is when you said PM
you're implying project manager,

398
00:27:42,280 --> 00:27:45,040
but there are multiple project
managers involved.

399
00:27:45,320 --> 00:27:47,720
Yeah, right, right.
There's a project, there's a

400
00:27:47,720 --> 00:27:50,960
project manager involved inside
selection, there's a project

401
00:27:50,960 --> 00:27:52,880
manager involved in scoping the
project.

402
00:27:52,880 --> 00:27:57,280
There's a project manager on the
design, on construction, on

403
00:27:57,280 --> 00:28:00,280
commissioning, on handover, on
operation.

404
00:28:00,280 --> 00:28:06,200
So the idea is the project
manager profile in the context

405
00:28:06,200 --> 00:28:08,360
of decision maker.
Yes, that's correct.

406
00:28:09,080 --> 00:28:14,040
But the there's quite a bit of
complexity in the way how the

407
00:28:15,160 --> 00:28:19,520
those decisions are happening
throughout the entire cycle of

408
00:28:19,600 --> 00:28:21,560
construction, handover and
operation.

409
00:28:22,600 --> 00:28:25,360
It's just, I can just imagine
that with your background

410
00:28:25,360 --> 00:28:29,960
experience in the semiconductor
manufacturing process that, you

411
00:28:29,960 --> 00:28:32,960
know, the consulting advice that
you can provide is pretty

412
00:28:32,960 --> 00:28:37,200
valuable in addition to this
digital twin, you know, data

413
00:28:37,200 --> 00:28:40,080
management to decision making
process and energy too, right?

414
00:28:40,080 --> 00:28:42,240
Because there's a lot of energy
that's going to be consumed in

415
00:28:42,240 --> 00:28:44,560
this whole process too.
So that seems like that's

416
00:28:44,560 --> 00:28:46,440
another leg here of the
conversation.

417
00:28:46,800 --> 00:28:50,520
You know, when you talk about
data and decision making, you

418
00:28:50,520 --> 00:28:53,280
know, in your experience, what's
the most overlooked data point

419
00:28:53,280 --> 00:28:56,960
or metric when companies try to
reduce water or energy usage?

420
00:28:57,720 --> 00:28:59,520
You could.
I, I think the, the probably the

421
00:28:59,520 --> 00:29:05,120
most overlooked is if we talk
about the water, would be the

422
00:29:05,120 --> 00:29:08,760
water conservation KPI of goals.
OK.

423
00:29:09,400 --> 00:29:13,520
And there's objective reason why
it's overlooked because it's

424
00:29:13,520 --> 00:29:16,560
much easier to measure how much
water you use.

425
00:29:17,200 --> 00:29:20,680
It is also possible to measure
how much water you reuse.

426
00:29:21,120 --> 00:29:23,960
Yeah, right.
What's what's impossible is to

427
00:29:23,960 --> 00:29:29,640
say how much water you save.
Yeah, because water saving is

428
00:29:29,640 --> 00:29:31,120
not necessarily what we're
using.

429
00:29:31,120 --> 00:29:36,120
You can recycle water with
significant flow rates with very

430
00:29:36,120 --> 00:29:38,200
little effect on water
conservation.

431
00:29:38,520 --> 00:29:41,760
That's possible too.
And depending on how you what

432
00:29:41,760 --> 00:29:48,360
reuse formula is defined, that
can drive more or less impact on

433
00:29:48,360 --> 00:29:52,720
water conservation.
What recently in this in the

434
00:29:52,720 --> 00:29:56,200
semiconductor industry, the way
how the industry address this

435
00:29:56,200 --> 00:30:02,360
challenge is that there's a new
water use standard, it's called

436
00:30:02,360 --> 00:30:08,000
semi F98 that is the recently
focused on that particular idea.

437
00:30:08,680 --> 00:30:15,640
And what what what the forum
came up with is the approach

438
00:30:16,280 --> 00:30:18,920
that focuses specifically on
water conservation.

439
00:30:18,920 --> 00:30:24,320
So the water use formula is
still included in in that

440
00:30:24,320 --> 00:30:30,040
standard, but using those
digital twins as the way to

441
00:30:30,040 --> 00:30:35,840
define and accurately measure
the water conservation, what are

442
00:30:35,840 --> 00:30:39,680
called manage water conservation
accounting now is becoming

443
00:30:39,680 --> 00:30:42,200
possible.
That standard has been recently

444
00:30:42,200 --> 00:30:44,120
approved and it's going to be a
published soon.

445
00:30:44,120 --> 00:30:50,520
So I'll let the audience to look
at the standards and and

446
00:30:50,520 --> 00:30:54,240
appreciate that solution.
But this I would say the most

447
00:30:54,240 --> 00:30:58,520
overlooked because when when
companies invest in water use,

448
00:30:58,760 --> 00:31:01,360
what's actually happening that
there's a lot of water use

449
00:31:01,360 --> 00:31:05,880
infrastructures bill, but it
doesn't equate to water

450
00:31:05,880 --> 00:31:11,560
conservation directly.
Yeah, Yeah, I think too, a lot

451
00:31:11,560 --> 00:31:14,680
of companies moving into green
spaces, especially in new

452
00:31:14,680 --> 00:31:19,920
locations, there is a lot of
public concern about, you know,

453
00:31:19,920 --> 00:31:25,200
water consumption and how it may
deplete the water table locally

454
00:31:25,200 --> 00:31:27,960
for other communities using the
same water, right.

455
00:31:27,960 --> 00:31:31,800
And, and is there enough water
to feed these facilities, you

456
00:31:31,840 --> 00:31:34,640
know, in addition to the the
communities that they exist in?

457
00:31:34,640 --> 00:31:39,240
So I think from a sustainability
perspective, this information is

458
00:31:39,240 --> 00:31:42,960
really important to get their
hands on so they can talk to the

459
00:31:42,960 --> 00:31:46,120
community leaders or, you know,
intelligently be able to say,

460
00:31:46,120 --> 00:31:48,640
look, this is where we are, this
is how much we're consuming.

461
00:31:48,640 --> 00:31:52,360
This is the effect it's having
on the, the local, you know,

462
00:31:52,360 --> 00:31:55,120
water table or whatever.
I mean, and I'm sure they're

463
00:31:55,120 --> 00:31:58,040
working hand in hand with maybe
some of the utilities that

464
00:31:58,040 --> 00:32:00,920
they're either one, getting the
water from or two, if they've

465
00:32:01,160 --> 00:32:04,840
drilled a well to, you know,
draw down their own water.

466
00:32:04,840 --> 00:32:08,200
I mean, so there there's a lot
of these like kind of nuances

467
00:32:08,200 --> 00:32:11,400
that kind of fit into this whole
sustainability water

468
00:32:11,400 --> 00:32:15,320
conservation equation.
Are you seeing companies look to

469
00:32:15,320 --> 00:32:19,320
you guys to help them, you know,
address these concerns for

470
00:32:19,320 --> 00:32:23,160
public?
I want to say yes.

471
00:32:24,000 --> 00:32:27,240
Let me elaborate on three points
that are related to this

472
00:32:27,240 --> 00:32:30,240
question that are important.
First of all, when we talk about

473
00:32:30,240 --> 00:32:33,520
water consumption, the real
consumption is evaporation.

474
00:32:34,520 --> 00:32:37,920
Because if the pure water is
coming in and pure water is

475
00:32:37,920 --> 00:32:41,760
coming out, then there there's
no really impact on the

476
00:32:41,760 --> 00:32:47,240
watershed or some companies for
various reasons are using 0

477
00:32:47,240 --> 00:32:49,760
liquid discharge.
That means that pure water is

478
00:32:49,760 --> 00:32:52,320
coming in and the only water
that's coming out is

479
00:32:52,320 --> 00:32:55,680
evaporation.
That leads to the, to the point

480
00:32:55,680 --> 00:32:58,680
of energy measurement, energy
conservation that we're also

481
00:32:58,680 --> 00:33:02,480
supporting.
And there's a lot of innovation

482
00:33:02,480 --> 00:33:06,000
and progress that this industry
is making in order to drive

483
00:33:06,000 --> 00:33:10,600
energy conservation up or energy
use down South.

484
00:33:11,120 --> 00:33:17,280
With a higher energy efficiency
facility, the evaporation is

485
00:33:17,280 --> 00:33:21,040
becoming less and less and then
the impact is less as well.

486
00:33:21,520 --> 00:33:27,000
So that's point number one point
#2 is that when we talk about

487
00:33:27,680 --> 00:33:33,720
the interface and relationship
between the facility and the and

488
00:33:33,720 --> 00:33:39,280
the CT and external authority,
the data, informational

489
00:33:39,280 --> 00:33:45,320
transparency actually is playing
an important role in, in this

490
00:33:45,320 --> 00:33:50,360
communication.
Because when people, the public

491
00:33:50,360 --> 00:33:54,360
thinks that the facility is
using a lot of water and it's

492
00:33:55,000 --> 00:33:59,160
the water resources are going to
be depleted as a result, There's

493
00:33:59,160 --> 00:34:02,480
a lot of opportunity for
education and, and

494
00:34:02,480 --> 00:34:06,760
communication, just showing how
efficient those facilities are,

495
00:34:07,080 --> 00:34:10,360
how much care they give for
water conservation, water

496
00:34:10,360 --> 00:34:14,239
management, minimizing
environmental impact and impact

497
00:34:14,320 --> 00:34:17,679
to the infrastructure.
So that educational side is

498
00:34:17,679 --> 00:34:20,800
important.
And what we are helping with our

499
00:34:20,800 --> 00:34:25,159
models and the dashboards and
KPIs and and information that

500
00:34:25,440 --> 00:34:30,159
the companies are using for
reporting is that transparency.

501
00:34:30,159 --> 00:34:35,920
Those digital twins become an
important source of, of that

502
00:34:35,920 --> 00:34:40,199
communication and clarification.
One of our customers received

503
00:34:40,520 --> 00:34:47,080
Platinum award from the for
their water conservation just by

504
00:34:47,080 --> 00:34:51,280
having the ability to
demonstrate what they're doing

505
00:34:51,360 --> 00:34:54,880
based on on those digital twins
and the and the models.

506
00:34:55,920 --> 00:34:57,760
Well, that's great.
I mean, that's, that's great.

507
00:34:57,760 --> 00:35:00,880
I mean, so that's a great use of
the, the digital twin and the

508
00:35:01,200 --> 00:35:04,600
data that's coming in and, and
being able to explain that to

509
00:35:04,600 --> 00:35:06,920
stakeholders.
You know, talk a little bit of

510
00:35:06,920 --> 00:35:09,920
if you could about some of the
collaboration you guys you're

511
00:35:09,920 --> 00:35:14,680
active in the the semi and, and
Irds and any other industry

512
00:35:14,680 --> 00:35:17,120
initiatives.
I mean, why is cross industry

513
00:35:17,280 --> 00:35:20,320
collaboration critical to
solving sustainability challenge

514
00:35:20,320 --> 00:35:23,040
at scale in, you know, with what
you're doing?

515
00:35:24,480 --> 00:35:27,480
Yeah.
This is an important question

516
00:35:27,480 --> 00:35:33,360
for me personally because I, I
believe that the collaboration

517
00:35:33,360 --> 00:35:37,640
in this industry has already
demonstrated the value and

518
00:35:37,640 --> 00:35:40,960
success.
Our company has collaboration as

519
00:35:40,960 --> 00:35:44,760
one of our values and we're very
much value driven.

520
00:35:45,240 --> 00:35:49,520
Why collaboration's important?
It's because this industry is a

521
00:35:49,520 --> 00:35:55,280
fast pace Moore's Law driven.
It's a predictable industry and

522
00:35:55,280 --> 00:36:00,920
it's a predictable industry with
the cycles of similar decisions

523
00:36:00,920 --> 00:36:04,520
that the the industry has been
making over the course of 50

524
00:36:04,520 --> 00:36:08,120
plus years.
Which means that those

525
00:36:08,120 --> 00:36:13,240
organizations like IRDS which is
a road mapping organization as

526
00:36:13,240 --> 00:36:18,400
well as same standards, they
become an important element of

527
00:36:18,400 --> 00:36:22,480
mechanism enabling that
predictability and enabling

528
00:36:22,480 --> 00:36:25,560
success.
So what's happening that with

529
00:36:25,560 --> 00:36:31,080
involvement of IRDS, which is a
10 year, a new name of the

530
00:36:31,080 --> 00:36:35,960
previous ITRS Rd. mapping
organization, it's a 15 years

531
00:36:35,960 --> 00:36:40,880
look ahead planning
collaboration where the industry

532
00:36:40,880 --> 00:36:44,720
experts are coming together and
learning from each other and

533
00:36:44,720 --> 00:36:50,520
then basically producing
documents the define technology

534
00:36:50,520 --> 00:36:54,880
needs and solution needs.
So for example, I'm involved in

535
00:36:54,880 --> 00:36:59,400
two forms for sustainability and
yield enhancement and both forms

536
00:36:59,400 --> 00:37:02,000
are critical from the water
point of view and energy point

537
00:37:02,000 --> 00:37:05,760
of view.
What the way how we do this, we

538
00:37:05,760 --> 00:37:11,960
learn from the device experts
what facility technology needs

539
00:37:11,960 --> 00:37:15,480
to be able to provide, to
deliver, to support next

540
00:37:15,480 --> 00:37:18,520
generation of technology.
And at the same time we work

541
00:37:18,520 --> 00:37:23,160
with same standards in order to
develop standards that help to

542
00:37:24,000 --> 00:37:28,960
enable those solutions from
quality point of view, from the

543
00:37:28,960 --> 00:37:31,000
performance requirements point
of view.

544
00:37:31,480 --> 00:37:36,840
And, and those two organizations
have been kind of the engine for

545
00:37:37,600 --> 00:37:40,600
for a lot of those industry wide
decisions.

546
00:37:40,880 --> 00:37:44,440
What's actually happening lately
because of the growing

547
00:37:44,440 --> 00:37:48,840
complexity of those facilities,
there's a growing importance in

548
00:37:48,840 --> 00:37:52,120
collaboration.
So collaboration in this

549
00:37:52,120 --> 00:37:54,960
industry is becoming very
actionable.

550
00:37:54,960 --> 00:37:59,120
So when if you hear about
collaboration in different

551
00:37:59,160 --> 00:38:03,280
industries, people do talk about
collaboration and there is some

552
00:38:03,280 --> 00:38:06,320
collaboration going on in
semiconductor industry.

553
00:38:06,360 --> 00:38:12,520
It's a critical enabling factor
for, for this industry operation

554
00:38:12,520 --> 00:38:16,400
and existence.
So it's more than just an idea.

555
00:38:16,640 --> 00:38:19,160
Yeah, there's a real action
behind that.

556
00:38:19,520 --> 00:38:24,600
And our company is is just a
great example of of the

557
00:38:24,600 --> 00:38:28,560
importance of the collaboration
that we are building a lot of

558
00:38:28,560 --> 00:38:33,480
our knowledge and our expertise
based on on those forums.

559
00:38:34,040 --> 00:38:37,400
We know we've been talking a lot
about water management services

560
00:38:37,400 --> 00:38:40,000
and platform and digital twins,
but let's let's change the

561
00:38:40,000 --> 00:38:44,240
subject just slightly because,
you know, how does the energy

562
00:38:44,240 --> 00:38:47,440
optimization of a facility,
because I know you're focusing a

563
00:38:47,440 --> 00:38:50,000
bit on that as well.
And, and how do you see that

564
00:38:50,000 --> 00:38:53,240
relationship between water and
then say carbon emissions

565
00:38:53,520 --> 00:38:56,880
evolving, you know, in the
industrial facilities?

566
00:38:56,880 --> 00:38:59,880
I mean, that's, you know, how
does that, how's that going to,

567
00:39:00,520 --> 00:39:03,560
you know, work together with
your platform and solving those

568
00:39:03,560 --> 00:39:07,680
two challenges?
Yeah, water and the energy Nexus

569
00:39:07,880 --> 00:39:11,280
is, is not a new idea.
So there are so much

570
00:39:11,280 --> 00:39:13,680
interrelated.
There's no water without the

571
00:39:13,680 --> 00:39:16,560
energy and there's no energy
without water.

572
00:39:16,560 --> 00:39:22,600
So give you 1 simple example
that the assessment that we did

573
00:39:23,720 --> 00:39:32,000
with with our IRDS forum.
On the energy side, there's a

574
00:39:32,000 --> 00:39:37,240
process cooling system that is
responsible for managing the

575
00:39:37,600 --> 00:39:41,440
thermal kind of regulation in
the tools themselves.

576
00:39:41,440 --> 00:39:45,160
It's super critical system for
for the semiconductor factory.

577
00:39:45,480 --> 00:39:49,320
So the and there's a lot of
energy that is basically waste

578
00:39:49,320 --> 00:39:53,120
energy that is removed from from
those tools.

579
00:39:54,000 --> 00:39:58,280
So from the energy point of
view, the cooling for those

580
00:39:58,280 --> 00:40:04,280
tools requires a lot of energy
in operation of the chillers As

581
00:40:04,280 --> 00:40:10,520
the result the the energy that
it takes to cool down this water

582
00:40:10,600 --> 00:40:15,000
is substantial amount of or
percentage of the overall

583
00:40:15,240 --> 00:40:20,320
facility energy that is used.
So what what we are doing today

584
00:40:20,320 --> 00:40:23,480
as part of the IRDS, since
directly related to our company

585
00:40:23,920 --> 00:40:27,560
is we're looking for the way how
to bypass chillers.

586
00:40:28,040 --> 00:40:31,760
Keep the temperature of the tool
higher so we don't need to cool

587
00:40:31,760 --> 00:40:35,040
this down to get a low
temperature and take this hot

588
00:40:35,040 --> 00:40:38,720
water directly to the cooling
towers for evaporation.

589
00:40:38,720 --> 00:40:42,400
As a result, both benefits are
achieved.

590
00:40:42,400 --> 00:40:48,320
There is less energy that is is
needed to control energy

591
00:40:49,280 --> 00:40:53,720
temperature in the tool and at
the same time there's less water

592
00:40:53,720 --> 00:40:56,680
needs to be evaporated in the
cooling tower.

593
00:40:56,680 --> 00:41:01,400
So with this one example, I'm
just showing how both benefits

594
00:41:01,400 --> 00:41:05,200
are achieved, but the number of
those examples are very, very

595
00:41:05,200 --> 00:41:09,320
significant.
So for if we talk about future

596
00:41:09,320 --> 00:41:14,760
of facility, I can see that that
the future facilities can be

597
00:41:14,760 --> 00:41:18,960
built significantly less
complex, much more water and

598
00:41:18,960 --> 00:41:22,440
energy efficient.
But all these decisions require

599
00:41:22,440 --> 00:41:27,800
not only specific solutions that
we are trying to identify and

600
00:41:27,800 --> 00:41:33,520
define, but also decisions that
needed to be made by those

601
00:41:33,520 --> 00:41:38,520
facilities and decision makers
that help to choose the right

602
00:41:38,520 --> 00:41:43,200
solution, integrate right
solution, make it appropriate

603
00:41:43,200 --> 00:41:47,800
for the site specific local
conditions and drive the cost

604
00:41:47,800 --> 00:41:49,800
lower and the risk lower as
well.

605
00:41:50,280 --> 00:41:52,360
Well, that's good.
I mean, yeah, I can see the

606
00:41:52,360 --> 00:41:56,600
value and, and looking at those
designs and, and having that

607
00:41:56,600 --> 00:42:01,040
information available, you know,
to make that decision at A at a

608
00:42:01,040 --> 00:42:04,120
site level instead of at the,
you know, at the operating, you

609
00:42:04,120 --> 00:42:07,160
know, unit level, right.
I mean, that's so important.

610
00:42:07,160 --> 00:42:11,360
You know, I think too, if we go
back and say, hey, we've been

611
00:42:11,360 --> 00:42:14,880
talking about semiconductors
facilities, well, let's let's

612
00:42:14,920 --> 00:42:16,920
like broaden the conversation
here a bit.

613
00:42:16,920 --> 00:42:21,160
What other facilities and
industry types could benefit

614
00:42:21,160 --> 00:42:27,720
from FTD solutions to help them,
You know, with water management,

615
00:42:27,800 --> 00:42:31,240
energy management, these
optimizations that you can

616
00:42:31,240 --> 00:42:37,120
deploy to reduce cost,
conservation, etcetera,

617
00:42:38,720 --> 00:42:42,320
extending life of you know,
equipment, things like that.

618
00:42:42,320 --> 00:42:43,720
Let's talk through that a little
bit.

619
00:42:44,800 --> 00:42:48,160
Yeah.
So from the facility point of

620
00:42:48,160 --> 00:42:51,320
view, if we think about all the
elements that we're dealing

621
00:42:51,320 --> 00:42:54,120
with, they're not really
different in different

622
00:42:54,120 --> 00:42:56,760
facilities in different
different markets.

623
00:42:57,240 --> 00:43:01,760
Like for example, we, we, we
have a great examples with oil

624
00:43:01,760 --> 00:43:06,120
refineries, with the food and
beverage, with the packaged

625
00:43:06,120 --> 00:43:10,840
goods facility, any facility or
even automotive in the say any

626
00:43:10,840 --> 00:43:17,400
facility that we engage with, We
always found application and

627
00:43:17,400 --> 00:43:22,400
benefits of using our platform,
using our approach, using our

628
00:43:22,400 --> 00:43:26,320
systems and processes.
In the end of the day, water is

629
00:43:26,320 --> 00:43:30,200
water, energy is energy and
optimization is needed

630
00:43:30,200 --> 00:43:33,320
everywhere.
Everyone is concerned about

631
00:43:33,320 --> 00:43:36,400
cost.
Everyone, every industry cares

632
00:43:36,400 --> 00:43:39,680
about water and water
conservation infrastructure

633
00:43:39,680 --> 00:43:43,080
compliance.
There's a lot of commonality in

634
00:43:43,520 --> 00:43:48,880
in this idea and the fact that
we started with semiconductor

635
00:43:48,880 --> 00:43:53,760
industry, what what it allowed
for us is to create the

636
00:43:53,760 --> 00:43:59,760
foundation to support probably
the most complex and capital

637
00:43:59,760 --> 00:44:06,120
intensive industry that makes it
more scalable in the sense to

638
00:44:06,200 --> 00:44:09,680
support facilities not as
complex as semiconductors.

639
00:44:09,680 --> 00:44:16,240
So we had experience of helping
companies that use water that

640
00:44:16,240 --> 00:44:19,800
can be compared to the office
building and at the same time

641
00:44:21,240 --> 00:44:24,800
facilities that use more
significant amount of water.

642
00:44:24,800 --> 00:44:29,720
The the interesting observation
is as we progress from more

643
00:44:29,720 --> 00:44:34,400
complex facility to less complex
facility, the relative

644
00:44:34,400 --> 00:44:38,440
complexity remains high because
what happens that in the most

645
00:44:38,440 --> 00:44:42,800
complex facility, there's a
relatively significant number of

646
00:44:43,360 --> 00:44:46,400
experts involved on the facility
side.

647
00:44:46,640 --> 00:44:50,880
And this complexity goes down,
there's less and less engineers

648
00:44:50,880 --> 00:44:55,600
involved, less and less trained
staff available to deal with

649
00:44:55,600 --> 00:44:59,960
water technology issues.
So this is what what I mean by

650
00:44:59,960 --> 00:45:04,560
relative complexity, complexity
pair expert involved and then

651
00:45:04,560 --> 00:45:07,960
it's not just expert, it's also
sensors and metrology.

652
00:45:08,680 --> 00:45:12,120
As we progress to lower
complexity facilities, there are

653
00:45:12,120 --> 00:45:15,200
less sensors involved, less
metrology is available.

654
00:45:15,440 --> 00:45:20,040
Then with less metrology and
less expertise, the the value of

655
00:45:20,400 --> 00:45:23,640
what we call our active water
management or water measured

656
00:45:23,640 --> 00:45:26,120
application.
The value is actually growing

657
00:45:26,120 --> 00:45:29,600
because ability to reveal
opportunities.

658
00:45:29,600 --> 00:45:33,760
Now it's becoming or impact that
we create is becoming even

659
00:45:33,760 --> 00:45:37,840
bigger.
While the engagement is for us,

660
00:45:37,840 --> 00:45:40,560
it's actually less complex and
more scalable.

661
00:45:40,800 --> 00:45:45,080
How is AI assisting you with
these, you know, I guess

662
00:45:45,080 --> 00:45:50,880
forecasting or you know
predictability of of the systems

663
00:45:50,960 --> 00:45:53,600
is how are you guys deploying
that in your software now?

664
00:45:55,600 --> 00:45:57,440
You know the.
The the data analyst.

665
00:45:58,320 --> 00:46:03,200
There has been saying that every
company is a technology company

666
00:46:03,480 --> 00:46:07,200
with the use of Internet and use
all different types of

667
00:46:07,200 --> 00:46:10,840
technology.
Now every company is becoming AI

668
00:46:10,840 --> 00:46:14,440
company.
Basically anything we do, we, we

669
00:46:14,440 --> 00:46:20,440
employ AI and it's just a matter
of time to what extent this AI

670
00:46:20,440 --> 00:46:25,520
involvement is is evolving.
And a lot of this also depends

671
00:46:25,520 --> 00:46:30,120
on the way how we engage with
different different companies in

672
00:46:30,120 --> 00:46:32,760
different markets.
Gotcha, gotcha.

673
00:46:33,400 --> 00:46:38,360
Well, you know, interesting
conversation about how your

674
00:46:38,360 --> 00:46:41,600
tools and your software and
creating these digital twins can

675
00:46:42,000 --> 00:46:47,400
really help companies better
understand their, their design,

676
00:46:47,400 --> 00:46:51,320
their optimization, their energy
usage, their, you know, helping

677
00:46:51,320 --> 00:46:53,320
them meet their sustainability
goals.

678
00:46:53,760 --> 00:46:57,520
I mean, there, there's so much
value in, you know, deploying

679
00:46:57,520 --> 00:46:59,920
your solutions.
Maybe talk to a little, a little

680
00:46:59,920 --> 00:47:02,800
little bit with some of the time
we have left on what does it

681
00:47:02,800 --> 00:47:06,480
look like to bring a company and
on board them into your

682
00:47:06,480 --> 00:47:08,960
solution?
You know what what, what steps

683
00:47:08,960 --> 00:47:11,840
do you take to start that
process off with a company?

684
00:47:13,000 --> 00:47:16,440
Yeah, the onboarding process is
well defined and standardized

685
00:47:16,440 --> 00:47:20,040
on, on our end and it's
relatively straightforward.

686
00:47:20,640 --> 00:47:26,080
What what we usually do, we
first, quite often we, we go and

687
00:47:26,080 --> 00:47:29,160
we visit the customer and we
help to collect and organize

688
00:47:29,160 --> 00:47:32,560
information that accelerates
engagement.

689
00:47:32,880 --> 00:47:38,120
And then we based on available
information, we build the first

690
00:47:38,120 --> 00:47:41,880
digital twin that represents the
current facility.

691
00:47:41,880 --> 00:47:45,680
If we're talking about existing
facility, if we talk about

692
00:47:45,880 --> 00:47:51,800
planning of the future facility,
then we build the model based on

693
00:47:52,040 --> 00:47:54,880
available information.
Some of this information we are

694
00:47:54,880 --> 00:47:59,800
contributing based on the
benchmark and information that

695
00:47:59,800 --> 00:48:05,040
we have available from the
industry road map and standards.

696
00:48:05,360 --> 00:48:08,880
So we build those digital twins
first, and the first digital

697
00:48:08,880 --> 00:48:12,600
twin becomes a baseline.
So either it's a baseline for

698
00:48:12,600 --> 00:48:16,720
optimization and contraction,
whether it's a baseline for

699
00:48:16,720 --> 00:48:21,960
operational improvement, or we
continue with the same baseline

700
00:48:22,480 --> 00:48:26,480
if people need to maintain those
models for sustainability

701
00:48:26,480 --> 00:48:30,240
reporting.
But that engagement, I would say

702
00:48:30,240 --> 00:48:34,240
it's divided into 3 parts.
The first part that I mentioned

703
00:48:34,240 --> 00:48:36,120
is just to build the baseline
model.

704
00:48:36,400 --> 00:48:43,720
The second part is to create
alignment within the customer

705
00:48:43,720 --> 00:48:48,120
organization to help to
understand how the the role of

706
00:48:48,120 --> 00:48:53,240
the models in the process of
supporting decision making

707
00:48:53,600 --> 00:48:56,360
either construction project or
in operations.

708
00:48:57,200 --> 00:49:01,480
So that's systemic element is
necessary.

709
00:49:01,480 --> 00:49:05,760
So we're helping the customer to
establish those standards on the

710
00:49:05,760 --> 00:49:08,840
top of the existing operating
procedures and standards.

711
00:49:09,480 --> 00:49:15,440
And then the third element is a
more training element how to use

712
00:49:15,440 --> 00:49:19,200
the platform and use the
software in in this

713
00:49:19,440 --> 00:49:21,680
collaborative development.
So that's good.

714
00:49:22,440 --> 00:49:24,320
Yeah.
And the and the beauty of this

715
00:49:24,320 --> 00:49:29,120
is that this whole effort is, is
relatively fast effort that can

716
00:49:29,720 --> 00:49:31,800
speed up the the rest of the
process.

717
00:49:32,040 --> 00:49:35,840
So most of the company's going
to need some tech savvy

718
00:49:35,840 --> 00:49:39,680
individual to help on their end,
you know, probably be the leader

719
00:49:39,680 --> 00:49:43,640
of, you know, using the
application for in collaborating

720
00:49:43,640 --> 00:49:47,920
with you guys to to make
assessments of the data, start

721
00:49:47,920 --> 00:49:50,240
to have conversations with the
engineering teams or the

722
00:49:50,240 --> 00:49:51,840
management teams and things like
that.

723
00:49:51,840 --> 00:49:54,120
So there, I'm sure that's
probably seems to be part of the

724
00:49:54,400 --> 00:49:56,400
the process who's going to be
the champion on their end,

725
00:49:56,400 --> 00:49:58,560
right?
Yeah, that, that's a good

726
00:49:58,560 --> 00:50:01,480
question.
So for for complex facilities

727
00:50:02,280 --> 00:50:05,960
due to complexity of
semiconductor facilities as

728
00:50:05,960 --> 00:50:10,480
example, yes, we usually
collaborate with the technology

729
00:50:10,480 --> 00:50:15,080
leaders of of the company.
Usually those people have quite

730
00:50:15,200 --> 00:50:20,080
extensive background and we work
in close collaboration.

731
00:50:20,280 --> 00:50:25,480
And then in some cases the
involvement of our expertise can

732
00:50:25,480 --> 00:50:30,920
be dependent on on the need.
When we work with lower

733
00:50:30,920 --> 00:50:34,880
complexity facilities, quite
often we don't engage with the

734
00:50:35,400 --> 00:50:40,160
technically savvy experts in
water or energy.

735
00:50:40,160 --> 00:50:46,760
We usually work with the either
facility manager or operational

736
00:50:46,880 --> 00:50:51,640
leaders and we bring in this
case our expertise and we we

737
00:50:51,640 --> 00:50:56,040
help to facilitate everything.
While in this case we need less

738
00:50:56,040 --> 00:51:02,240
support from the facility owner,
more informational support with

739
00:51:02,240 --> 00:51:04,880
every information is available.
Gotcha, gotcha.

740
00:51:05,720 --> 00:51:09,600
Well, you know what's next for
FTD solutions.

741
00:51:09,600 --> 00:51:12,080
You know any new tools,
partnerships, goals.

742
00:51:12,080 --> 00:51:15,080
You know, how do you envision
your role helping companies

743
00:51:15,080 --> 00:51:18,840
achieves net zero and other
sustainability targets with your

744
00:51:18,840 --> 00:51:23,480
digital twin and digital
optimization type services here?

745
00:51:24,080 --> 00:51:31,240
I, we, we have, we have a lot of
plans and big ideas and visions,

746
00:51:31,240 --> 00:51:35,400
but I could probably divide the
answer for this question into

747
00:51:35,400 --> 00:51:38,960
two parts.
One part is related to our

748
00:51:38,960 --> 00:51:41,760
engagement with the, with end
users.

749
00:51:43,200 --> 00:51:53,040
We, we are working with the big
enterprise companies to to run

750
00:51:53,040 --> 00:51:59,120
pilots for demonstration pilots
for, for our technology.

751
00:51:59,880 --> 00:52:05,800
We just finished very successful
pilot in the context of 100 plus

752
00:52:05,800 --> 00:52:14,200
accelerator with involvement of
six major enterprises that

753
00:52:14,560 --> 00:52:21,280
hopefully will help us to scale
our value proposition throughout

754
00:52:21,560 --> 00:52:27,400
their their facilities.
So that that's One Direction as

755
00:52:27,400 --> 00:52:31,800
well as everything what we're
doing with semiconductor

756
00:52:31,800 --> 00:52:35,080
industry.
So all the engagement that we're

757
00:52:35,080 --> 00:52:43,400
having with the end users, our
goal is to bring our capability

758
00:52:43,400 --> 00:52:48,520
and help as many facilities as
possible in the world to make

759
00:52:49,160 --> 00:52:56,800
more optimal type of decisions.
And at the same time and I I

760
00:52:56,800 --> 00:52:58,960
have this on my desk if you can
see it.

761
00:52:59,080 --> 00:53:02,280
It's a bridge.
Golden Gold Bridge, Yeah, I I

762
00:53:02,280 --> 00:53:05,880
see our company role in the
industry as as a technology

763
00:53:05,880 --> 00:53:13,640
bridge because of our role as
trusted advisor to the to the

764
00:53:13,680 --> 00:53:18,240
end customer.
We are trying to help the

765
00:53:18,640 --> 00:53:24,680
solution providers to find their
solution to market feed and

766
00:53:24,840 --> 00:53:30,000
create not only productivity on
the marketplace so people could

767
00:53:30,360 --> 00:53:36,480
find a faster way accelerating
their sell cycles, bringing

768
00:53:36,480 --> 00:53:39,080
their solutions to the
customers.

769
00:53:39,480 --> 00:53:43,240
And also by doing that also
helping the companies who

770
00:53:43,240 --> 00:53:46,200
innovate to accelerate their
innovation.

771
00:53:46,200 --> 00:53:49,640
Because one of the big
challenges on water technology

772
00:53:50,080 --> 00:53:56,920
is all this long sale cycles in
long cycles of innovation.

773
00:53:56,920 --> 00:54:02,960
This is why probably water
technology industry is less

774
00:54:02,960 --> 00:54:05,840
innovative than many other
industries for those reasons.

775
00:54:05,840 --> 00:54:09,880
So hopefully with the role that
we are playing in the industry,

776
00:54:09,880 --> 00:54:17,280
we will be able to help both
types of companies to to achieve

777
00:54:17,280 --> 00:54:23,960
their goals and as a result to
catalyze a lot of sustainability

778
00:54:24,080 --> 00:54:29,360
practices and create
opportunities for efficiency and

779
00:54:30,280 --> 00:54:33,960
environmental footprint
reduction and all the goals that

780
00:54:33,960 --> 00:54:37,520
the companies need to have.
And all this when it's happening

781
00:54:37,520 --> 00:54:41,200
in AI era, everything is getting
accelerated.

782
00:54:41,200 --> 00:54:45,360
So hopefully our value
proposition will be a great feat

783
00:54:45,360 --> 00:54:48,080
for everything.
What's going to happen in the

784
00:54:48,080 --> 00:54:49,880
future?
I'm sure will.

785
00:54:49,880 --> 00:54:52,000
I mean you, I think you guys are
on to something.

786
00:54:52,000 --> 00:54:55,120
You're kind of like a data
management aggregator of all the

787
00:54:55,120 --> 00:54:58,720
disparate little solutions out
there that no one can really see

788
00:54:58,720 --> 00:55:00,720
the whole picture.
Bring it all under your

789
00:55:00,720 --> 00:55:05,320
solution, really optimize the
the the efficiencies of these

790
00:55:05,680 --> 00:55:08,600
manufacturing sites.
I think it's a huge, it's a huge

791
00:55:08,600 --> 00:55:11,160
benefit to a lot of companies
who can't see it right now.

792
00:55:11,160 --> 00:55:13,240
It's like you think they can't
see the forest from the trees,

793
00:55:13,240 --> 00:55:14,040
right?
Because they're too, they're

794
00:55:14,040 --> 00:55:17,440
just too detailed into it.
So I really appreciate you, you

795
00:55:17,520 --> 00:55:19,160
know, explaining this a little
more.

796
00:55:19,160 --> 00:55:22,160
You know, Slava, thank you so
much for sharing your insights

797
00:55:22,160 --> 00:55:24,560
and experience with us today.
You know, it's been fascinating

798
00:55:24,560 --> 00:55:28,640
to learn about FTD solutions and
using digital twins and data

799
00:55:28,640 --> 00:55:32,320
deep facility expertise that you
have helping, you know, the

800
00:55:32,320 --> 00:55:35,360
semiconductor industries and
other industries, you know, save

801
00:55:35,360 --> 00:55:38,400
water, cut energy and, and hit
their sustainability goals.

802
00:55:38,400 --> 00:55:40,920
I mean, I think for the
listeners who'd like to learn

803
00:55:40,920 --> 00:55:45,960
more about FTD solutions, you
know, or connect with Slava, you

804
00:55:45,960 --> 00:55:48,720
can visit
theirwebsite@ftdsolutions.net.

805
00:55:48,920 --> 00:55:53,080
And we'll also put a link to
your LinkedIn profile on my

806
00:55:53,080 --> 00:55:56,520
website where they could just
probably look you up is on

807
00:55:56,520 --> 00:55:58,400
LinkedIn as well, but we'll give
them a QikLink.

808
00:55:58,960 --> 00:56:01,800
And you know, as always, you
know, for the listeners, if

809
00:56:01,800 --> 00:56:04,640
you've enjoyed this episode
today, please subscribe to the

810
00:56:04,640 --> 00:56:08,640
podcast, leave your review and
share with your friends and

811
00:56:08,640 --> 00:56:11,120
colleagues who are passionate
about sustainability and

812
00:56:11,120 --> 00:56:13,880
innovation.
And you know, thanks for tuning

813
00:56:13,880 --> 00:56:16,440
in and we'll see you next time.
Thanks for listening and

814
00:56:16,440 --> 00:56:18,760
watching the show.
If you enjoyed the show, then

815
00:56:18,760 --> 00:56:21,440
please share it with your
friends and Co workers on social

816
00:56:21,440 --> 00:56:23,560
media and tell somebody in
person.

817
00:56:24,080 --> 00:56:25,920
Thanks for being with us, ET
Nation.

Slava Libman Profile Photo

CEO

Dr. Slava Libman is the CEO of FTD Solutions, a company at the forefront of digital solutions for water management and environmental sustainability in industrial facilities. With 30 years of experience in water technology, entrepreneurship, business operation, and industry wide collaborative initiatives, Dr. Libman brings new vision for how positive environmental impact can be achieved with less time and resources.