>> The future we will invent is a choice we make,
not something that just happens.
>> Good morning everyone and welcome to
the Global AI Bootcamp 2019.
>> Thanks so much for joining us,
over 125 different venues across
the globe on December the 14th to host these events
>> A huge thanks to
all the organizers who made this event possible.
So organizers please get up and
attendees give them a big round of applause.
>> Today you're going to be inspired by some of
the latest AI technologies tools and trends.
This might be via talks,
hands-on labs, or workshops that
your community leaders have for you.
>> Today, is all about learning new things about AI.
So we hope you can apply this to your work,
in your community, or even in your daily life
>> So here we are Ignite Orlando, 2019.
It has been loads of really
interesting on AI announcements and updates.
So let's head over and check
out a little bit more about some of these updates.
>> Thanks so much Amy and Henk.
The global AI community which started last year was
hosted in over 50 locations worldwide.
This year we're at 120 locations worldwide.
We're so excited to have you here.
I have with me Eric Boyd,
Corporate Vice President of Azure AI. How are you doing my friend?
>> I'm doing really well. Feeling excited to be here.
Really excited about how much this community has grown.
It's really incredible just to see
in one year how much we've grown in this group.
>> So for people that don't know you what
do you do here at Microsoft?
>> So I lead the Azure AI team here.
So all of the things around Azure Machine Learning,
or Bot framework, or Suite of Cognitive Services,
and of course Azure Cognitive Search.
All of those things for our company.
>> So there was a lot of cool things that came out at Ignite.
What is our strategy for Azure AI moving forward?
>> So when we think about what we're going to try and do with AI,
for us it always starts with research.
So we're really fortunate to have
Microsoft research where we've been
investing in for over 25 years.
We take the research and
the breakthroughs that they really come out with,
and then we pressure test them
in the products that we have at Microsoft,
because at our scale we have
so many different places where we can try out
all of these different new ideas and
really prove that they add value to customers.
Then we deploy them through Azure AI to all of
our third party customers and really light everything up that way.
We've really been focused on how do we make this easy,
how do we really democratize AI so that anybody regardless of
skill level can really get going
with things and really become productive with it.
We are really excited about how comprehensive our offerings are.
You can go from Azure machine learning
all the way through to Suite of Cognitive Services in
the whole spectrum in between and
find something that's going to work for your skill level,
for your business, for what you need all in one place.
>> So you mentioned AI for all skill levels.
What are we doing to help people that are maybe
getting started build AI models?
>> Sure. So we've come up with a lot of things in Azure machine
learning to really make
it simple for people regardless of where you are.
At the one end if you're in a no code experience,
you can use automated machine learning,
and we now have a user experience where you can
go and bring your data-set and predict the column,
specify the column you want them have
predicted and generate an AI model
for you without actually having to
understand the logistic regression,
or neither regularization or the parameters,
or is there anything that you might need to do under the covers.
Then we can go from there to our designer which
is a low code experience where you can create drag-and-drop.
I want to bring my data.
I want to split it into a couple of different sets.
I want to train on this. I want to test on this.
Again, with parameters for each of
the different boxes that you would drag and drop,
all the way to a code first experience where you can
use a notebook directly integrated into
Azure Machine Learning Studio where you can
see all of your data and all of your experiments,
and even all the experiments that your team and other
people you are collaborating with are doing all in one spot.
So we're really trying to make it easy
regardless of where you are on that spectrum.
We've got an offering that's really going to make it easy for you.
Another thing that we've been focusing a lot
on is how do we make it easier for
enterprises to manage all of
the different datas of different models that they have.
So one of the things we used to hear a lot is customers would say,
I'm struggling to get my first model in production.
Now, what they're telling us as I have a 100 models
in production and I can't keep track of them, I can't manage them.
So that's really where MLOps comes
in to really help with the management,
the deployment, the getting from the data scientist all
the way into production in a really easy manner of doing that.
One of the last things that I want to tell
you about is we've added R Support.
This is something we've heard a lot of
feedback from our customers.
Hey, we want R Support for,
we have all these existing models can we please get R Support.
So we've added R Support directly
in the Azure machine learning now.
>> This awesome. It feels like we're doing stuff end to
end for machine learning practitioners.
But some people might be like,
Hey, AI isn't for me.
What are we doing to enhance existing applications with AI?
>> So that's one of the great things
our Suite of Cognitive Services makes it really easy.
Even if you don't know how to create
your own AI model you can
use these services just really right off the shelf,
just like any web application that you can.
So one of the things we announced
earlier this year is personalizer.
We just announced that being in GA. Personalizers are
reinforcement learning based system that
really helps you connect users to their content.
We use it in places like Xbox where I want to
recommend what games should you play next
based on the things that you've already done.
So that's available for people who want to
optimize different flows on their website and things like that.
We have so much new stuff coming out in the Cognitive Services.
In speech, we announced that you can now build
custom speech models based on your organization's Office 365 data.
So what we do is we take all of
the public groups and information that's available to everyone
in your organization and then we build
models for how to go from speech to text on top of that.
That way, when you have jargon that's specific to your company,
here at Microsoft we talk about Kubernetes all the time,
and a speech system is not going to know what that is,
how to spell, it's going to recognize
it as something really weird.
But being able to train on your Office
365 data now you can get that directly,
really customized to your business
and do a lot of cool things with that.
Another cool thing we released in speech is Custom Neural Voice,
which is now where you can do
a synthesized voice based
on say your company's mascot, or something like that.
So if you wanted to call center answered by your company's mascot,
lots of cool things like that.
Then even all the way on the Bot side we now have Bot Composer.
This is a really great low code experienced
for being able to wire up your Bots and create them.
You can go all the way to power virtual agents,
which is of course a no code
experience for how you can create Bots.
So again, trying to go end-to-end regardless of your skill level.
We've got some application that's really going to fit in and feel
natural for you to use in your business and in your applications.
>> I love how we're focusing on
the actual users and
the challenges that they face and how I can solve them.
I bet there's a lot of customer demands coming in.
What are some things that we're focusing
on based upon customer data?
>> So one of the things we hear about from our customers a lot
is they have all of this data in their organization,
and they want to figure out how they can make sense of it.
So we call this area knowledge mining,
and it's really trying to figure out how can you use AI to extract
all the insights from the data that the customers
already have and make it useful for them.
So we took what we call an
Azure Search and we've re-branded it to Azure Cognitive Search,
really highlighting that's the big thing that you're doing
is you're extracting the key entities from it,
you're extracting the places,
and people, and things.
You're translating into different languages if you need to.
You're understanding what's going on in the images,
and then you're making that searchable.
You're showing graphs of how
these different entities relate to each other,
and just really exposing all of the information that is
locked up inside of all the data that these customers have.
When we talk to an oil company that said,
I have all this data from the '80s.
It's in Arabic about all these oil fields,
and I want to be able to use it.
So now using Azure Cognitive Search you can get
all that information and make it searchable and discoverable.
So that's something really powerful that our customers have liked.
>> Well, this is amazing. Any final thoughts?
>> I mean, we're really excited about this community
and where it's been going and really how it's grown.
I really look forward to seeing
all the great things that will come from this Global AI Community.
>> Awesome. Well, thanks so much for spending some time with us.
Thank you so much for being here at the Global AI Bootcamp.
We're so grateful that you're here,
back to you Amy and Henk.
>> Thanks so much for that update.
At the last Global AI Ignites we launched the Global AI Community.
A community where we can connect,
learn, and share together.
We're also really excited to see that
during this global IA Bootcamp we've got
together as that Global AI community to pull
this content together that you will see today.
Also it's been really nice to see that lots of
local global AI Ignites have been happening.
If you're interested in finding out more about
them go to the Global AI Community website.
>> I know it's is all about today,
but I want to give you a glimpse into
future of the global AI community,
and the upcoming events.
We proudly announced to
global AI tour starting in March and ending in May.
This global AI tour is going to be a series
of events that will take place over those three months.
There will be online events,
there will be local events,
there'll be lots of great videos all
organized by the global community for you.
>> We hope you enjoy today learning all about AI.
If you want to learn more in the future checkout
the Global AI Community website.
>> Mark your calendars for the next event,
the global AI tour starting in March 2020.
>> Thanks so much for joining us and have an amazing day.