- Today, we're going to dive
into the work we're doing with Ecolab.
So if you don't know Ecolab,
they are literally a world leader
in water and sustainability solutions,
but they also have like thousands of frontline workers
who every day, are going
into these really complex industrial sites.
So we've teamed up with them, and over the last few months,
we basically brought a whole suite of digital
and AI capabilities to really help their customers achieve
these incredibly complex sustainability goals.
So let's dive in and take a look, a very fast look
at some of the work that's been going on.
So first of all,
we've got to turn the physical world into a digital one.
So to do that, we've partnered with Hexagon,
who, among other things,
have these incredible handheld scanners.
So this allows me to literally walk around the facility.
It's taking millions of laser measurements realtime.
It's taking photogrammetry.
It's slamming it all together,
and I get this incredible high-fidelity twin
and representation of the space.
So from there, we move into one of my favorite things,
which is let's build out a full digital twin.
So what I've got here is,
you can see this is an Azure Digital Twin.
We've taken that scan.
We've modeled it all up.
We've simplified it so we've just focused
on the water processing facility here.
But I've got all kinds of information I need now.
I've got heights, diameters, pipe flows,
but we've really got to start now bringing this to life.
So I'll connect to the existing sensors,
so partners like Rockwell and all the controllers.
We can get the infrastructure that's already deployed.
But actually, I often need to deploy new sensor fabrics,
and in this particular instance,
we have to deploy a new water monitoring sensor fabric.
However, to do that,
there is literally hundreds of different types of sensors,
we've got thousands of different mounting points,
and it can be a real complex problem.
So building on some of the stuff you saw
from Jessica earlier, some of the stuff you saw
from Charles, we're re-leveraging all of that
into industrial environments now.
I can directly on the digital twin,
have an AI agent supporting me
in what type of sensors I should use,
specific data sheets here coming in.
I can get information on the correct mounting
and mounting considerations.
So all of this, having an expert at my hands,
millions of technical manuals and documentation
being able to help me come up
with the right bill of materials for the sensor fabric.
So now we're packaging that up.
We're getting that to the customer's hands.
Their sensor pack arrives.
Installation, not always super straightforward.
Again, we're leveraging our mixed reality capabilities here
where we can have guides and remote assists,
basically, taking the customer through exactly
where to mount, how to mount,
and getting the telemetry streaming.
So we've now moved forward again.
We have integrated the Power platform here
and specifically Power BI.
We've got our telemetry coming up
with our industrial IoT assets.
We've secured it all the way across with Defender.
And now we're orchestrating edge in cloud with the Arc.
So with all of this together, telemetry's live,
the twin's coming to life, I can see notifications,
I can get insights, but because we're cloud-side,
I can use Ecolab's 3D platform,
which gives incredible advanced contextualization
to the water processing.
I can integrate with our Cloud for Sustainability,
which gives us a framework
for managing the progress we're looking to make.
But if we look at this demo here, you can see that okay,
so we've made some great progress
and we potentially have this predictive trend
of increased water consumption.
I want to dial into the areas
that's potentially causing the concern.
And here, I'm not entirely sure what's causing it,
so I really do need to lean in for some help.
And so I can jump over, create a Teams chat
with my friend here, Drew, and start really unpacking,
"Hey, you know, what's going on in this particular site."
I can introduce the AI Agent.
I can go ahead and ask questions
about what's causing this increased water usage.
And right away, context from the telemetry
from all the different data sources,
it's highlighting, you know, even highlighting the fact
that it's actually a batch change.
It's a change in what the facility's doing.
I can ask for help in what I can do,
and right away, it's recommending, you know,
to evaluate a closed loop recirculation system.
So it's deep in the technical.
It's helping for our guidelines.
I've got an expert there proving that's the right thing.
We can take that to the customer.
And just very rapidly we've gone from digitization
to AI insights to capabilities,
and we're helping our customer achieve sustainability.