>> AccuWeather was founded
56 years ago in State College,
Pennsylvania and now we've
grown to a global company.
We're known for being players in
big data but at the heart
of it from the start,
it's really weather and that's
the core of our mission
and what we focus on.
We're also starting to inject AI
into more of our
business practices.
We had a lot of
manual coding that was
very time intensive,
very labor intensive.
It will take us
months to go through
and analyze how weather was
impacting the business.
Now we have a solution with
AccuWeather D_3 where we utilize
Azure machine learning
to quickly go through
that same process and
it's instantaneous.
D_3 stands for
data-driven decisions and at
AccuWeather we know
that businesses want
to know how weather is
going to impact them.
We've been able to take
clients custom data and merge
that with weather data and
run it through
a machine learning stream.
>> Scale is the number one
reason we're looking to
deploy this D_3 on Azure.
As we deploy things like
our API and other items on Azure,
we came to realize
that machine learning
would allow us to prebuild
some algorithms that
could get better over
time and taking inbound data
from our customers,
learn about how the future
may be affected.
This has allowed us to move much
faster than we ever
could have in the past.
The technical support and
the expertise on
deploying and using
the machine learning tools
that are available on Azure
was very important
for our design team.
>> The journey from consumer
to business is on the same path.
So, knowing how weather
impacts consumers,
that has an influence on
all these businesses.
It has an influence
on what products
they're going to buy,
what activities you're going
to engage in your mood.
That's at the heart
of what we do.
At AccuWeather we want
to help businesses,
we want to help people.
>> As organizations get
really good combining data
that's never been
combined before,
all of that is just going to
get so much more precise.
>> We know we can
depend on Microsoft and
Azure to help us get there
in the right way and
to get there fast.