Cuz the Internet thinks it covers such a wide variety of things.
It could be smart things you might wear on your wrist to smart appliances you have in your house all the way up to factories and cities.
They're all sorts of great examples.
But in the end, it's the internet connected to those things.
And then those signals are coming through.
And in fact, with Azure and Azure IOT, we process over 6 trillion messages every single day.
And it's everything from fleet logistics to smart agriculture to smart elevators and smart cities and buildings that come through.
All connected back into the cloud.
When that data comes through, we can look for things like anomalies, you can figure out how to do predictive maintenance and make sure things keep running.
And we can also make sure that we've got better safety for people that are working in those environments.
These connected devices The ability for us to grab that data and to understand what's going on is critical.
So think of a factory.
For example I've got what we call an OPCUA wall here.
I understand what each of these does, but they're from our partner.
And if you went into a factory you would absolutely see these running in conveyor belts and running in machinery and electrical systems across everything.
This is the Farm Beats technology, another example of the Internet of Things, as you mentioned.
It's a combination of one of the things in this case, it's everything from soil sensors, that can be able to check where I have irrigation, where I have water, how plants are growing, In addition to even drones that can actually fly overhead, and we can use machine learning and image recognition to understand how our crops are going.
The main reason this is interesting is because today, a lot of irrigation systems, you've seen them if you drive down the road sometimes in the country.
You see them throw water everywhere.
That means you could wind up with too much water in one place and not enough in another.
Either way you could be wasting water and I don't get as good crop outcomes.
And so being able to leverage like the drones and some of these sensors means you can do more precision.
We save water, you get better production out of it, it's just an example of putting intelligence at the edge.
in a lot of cases what happens is, we're able to use the existing technology and bridge it into the cloud for an intelligent edge.
In that case, it's being able to take analogs, which is basically wires, and turn those digital sensors, basically in the computers.
And then that way I can take advantage of it.
So, I can actually Even this protocol that we use here in the factory is designed so it can go into systems that have been installed 20 years ago.
There's protocols that are in there, we can just pick those up and bridge it into the cloud.
And again it is actually super important that you can get value out of the investments you already have What's already there, your self-driving car will have to come later.
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