KYLE PAUL: Thank you all again for coming out today.
We're really excited to have you here.
And to kick it off, I am Kyle Paul.
I am the North America Regional lead for developer ecosystems
here at Google.
And basically what that means is myself
and my team, we look after the programs and initiatives,
like this event here today in North America.
And part of what we do is to look
to give developers what they are looking for, what they need.
And one of those things that come about
are these buzzwords that we hear, like machine learning,
artificial intelligence.
What do these really mean?
I mean, all of you in here are experts on this, right?
So the event today is not designed for a hello world
machine learning.
All of you are experts--
industry professionals that are working in this already.
And that's what this event is designed for.
So our goal for today, goals, rather,
is to inform you on what's happening, others
in the industry, educate you on other ways
that you might not have experienced yet
with machine learning or artificial intelligence,
inspire you to create, to build new things with machine
learning and artificial intelligence,
as well as connect and network with each other.
I mean, I'm sure many of you here
have never met the person you're sitting next to.
And you're very excited.
Oh, some of you, I saw some dots, like, yeah, I know her.
[LAUGHS] Very cool.
But yeah, so allowing, you know, giving you
this opportunity to network and meet others
in other industries, other verticals.
So that's another goal for our event here today.
But we really want to help you learn more about machine
learning here today.
How is Google using machine learning?
How are we trying to help developers get more
into machine learning and artificial intelligence?
And then how can we use this machine learning
and artificial intelligence to help around
the world in different applications, ways, shapes,
and forms?
We have a really exciting lineup of speakers today
that their diverse knowledge set,
diverse backgrounds and industries
that they're coming from.
And so we're really excited for that today
and hoping this event is very insightful and useful
to everybody here today.
To cover our bases here, we do have a code of conduct.
You may have noticed it on your way entering into the building
or into the room today.
The link is posted here.
But it basically comes down to some basic fundamentals.
We're all here to learn.
We're all here to enjoy this event.
We're here to network.
So we should have a mutual respect for one another.
And we don't anticipate any issues.
But if you happen to have any issues or concerns,
please come to me.
I'm more than happy to receive it.
Or anybody that you see with a Google badge,
we're more than happy to hear and can help you
with that situation.
So please-- please keep that in mind.
Cool.
And as far as social media, if you're excited
or you've learning something cool at this event,
please share it online.
We have the #MLSummit.
And if you @GoogleDevs, that way, keeping it all together.
We'd love to follow, retweet like all of these things.
Another thing that the Developer Guild Systems Team does
is, we're in a very unique position.
We're not tied to a single product area.
We have access to all the different product
teams at Google.
So we're able to hear your feedback
and bring that directly to the product teams.
And what this means is, let us know what works.
What do you really like about the products?
But then also be very candid.
What doesn't work?
This really sucks.
I wish this worked.
Why does this not work?
And this goes, not just for machine learning.
This goes for any Google product.
We have access to all these teams.
And so let us know this feedback.
We have a survey form that I'll share the link later.
So you can do it in there.
Please come to talk to any of us with a Google badge.
And we're more than happy to hear this feedback
and relate it to the product teams.
I heard some conversation earlier.
Breakfast, like AWS this, AWS that.
Yes, we'd love to hear those feedbacks.
So what can we do better?
[LAUGHS]
Another reason we hold events like this is you're
all developers on the ground.
You know and use this and breathe this every day.
So we want to hear this feedback for sure.
Many of you may not have experienced this yet.
But we do have some interesting things made available.
Now, we have a partnership with Coursera
with different learning opportunities.
So if you want to dive deeper and learn more
about how to use machine learning
applications on the Google Cloud Platform,
we have a couple of courses that we've
partnered with on using big data and machine learning
fundamentals.
We also have machine learning with TensorFlow
and advanced machine learning with TensorFlow.
So there's lots of fun opportunities.
There's many more courses that we have on Coursera.
But if you want to dive in and learn more about how
you can use machine learning and artificial intelligence
on Google's cloud platform, we have
all of this available here.
And we also have it available on Qwiklabs.
So this is a learning platform that Google
purchased a couple of years ago and more opportunities
to learn.
We haven't solidified it yet.
But we might have a surprise in store for some free learning
opportunities here on Qwiklabs as well.
And so these are applications on data science.
If you're a data scientist, how to do more of this stuff,
not just building ML models, but actually
going through Dataproc and all of the stuff on the GCP
platform.
And then intermediate TensorFlow onto advanced TensorFlow
and tools like that we have on GCP.
So as I mentioned earlier with developer ecosystems,
we have many developing programs that we
support across North America.
These are majority of them here.
We do have what we call our GDG, the Google Developer Groups
Program.
Some of you might be familiar with this.
It's where we enable developers in their communities
to come together and talk about Google technology.
Some of them form around machine learning.
Some of them form around cloud, Android development,
or all Google products.
Then we also have our GDE Program, the Google Developer
Experts.
We have a booth out back that talks a little bit more
about this program.
And we invite all of you if you're
interested to come talk to us more about them.
And some exciting news, as we have many GDEs speaking here
today.
So we're excited to have them come speak today.
But yes, so if you're interested in that,
we'd love to have a chat with you.
I'll talk a little bit more about the program
to spice it up a little bit.
But we do have these other programs.
Launchpad, which is geared towards startups.
We have our Women Techmakers Program,
which is designed to help and empower and influence
women in technology and provide them resources
to the women in tech groups.
And then our Developer Student clubs,
which is designed for students at universities
and helping them have access and resources to Google
technologies.
With that, diving into the Google Experts Program.
So they're experts and thought leaders like all of you
who Google has recognized as experts in their various fields
of technology.
So we have GDEs in Firebase and Android
and machine learning and cloud, in general.
And they all come from various different backgrounds.
So some of them are hobbyist developers.
Some of them are at startups.
Some of them are at big enterprises--
all over the map.
So whatever your background is, we'd love to chat with you
and talk with you more about how can I interest you
more into this program.
And they work on various community projects.
But they also contribute to open source libraries.
We do have many GDEs who contribute to Google's
open source libraries as well.
So there's lots of fun opportunities there.
And eligibility for this program,
obviously, being an expert--
[LAUGHS] so part of being the expert,
defining what an expert is, is difficult because expertise
is different.
And so just basically showing that you
have a vetted knowledge in that technology sector.
And then we ask that you have some community
experience that you do have this knowledge.
Are you sharing?
Are you bringing it back to the community?
Are you speaking at conferences?
Are you blogging about the technology?
Are you contributing to open source-- these kind of things?
So these are things that we also look for.
And then being able to talk about it when
you're engaging with attendees.
Or when you're going to a meetup, going to a conference,
writing a blog post.
Do you have the skill set to clearly
and communicate about the technologies?
And then some of the perks of being a GDE
are acknowledgment by Google.
We do a word GDE badge that you can display
on your social networks and business cards,
and things like that.
And then we do also invite GDEs into exclusive NDA projects
with early access programs, things like that.
Or the different various product teams
will also reach out to the GDEs.
Like, hey, we're thinking about making this change
in XYZ product.
What do you think about this?
As a developer, how do you use this?
Is there something that is going to impact globally
in a good or bad way?
So we do get that early feedback from these GDEs as well.
Again, access to the teams, exclusive hey announce hearing.
What's about to launch?
So that way if you happen to be a consultant
or something like that, you're aware of some upcoming changes.
And then we do provide invites to special events,
like Google I/O or Google Cloud Next.
So some fun opportunities there.
And then obviously access to the global network
of professionals.
All the GDEs come together at various points
throughout the year to network with each other, share ideas,
share content.
It's a really fun time.
I definitely encourage you to reach out
to the GDEs who will be speaking here today
and hear their experiences in it.
Prior to joining Google, I was a GDE.
It's a very fun time.
[LAUGHS] And some resources.
So if you're interested to see a little bit more
about the program, we do have our website here,
which dives in a little bit deeper on everything
about the program and some--
oh-- he took a photo, and the screens went blank on us.
[LAUGHS]
There we go.
All right.
So yeah.
So, again, there's the link.
If you want to see what other developers are doing online,
our GDE Twitter account is very active.
And it's sharing global stories of what our GDEs are doing.
And a lot of fun and exciting stuff there.
Our medium is also a place where let's say as a GDE,
you write a blog post about a technology.
We do repost or allow GDEs to post on our special Google
Developers blog on medium.
And so it's extra exposure, extra validation there.
And then we have our LinkedIn, as well, to join.
But I know all of you are probably super anticipated
how do we really get into it.
So come chat with us.
We do have this link here to where
you can go ahead and apply.
It is a rather long application form, so don't rush through it.
I will advise you to take your time
when you're filling this out.
We do look at everything that you put on the application form
to see if you have the expertise,
the community experience.
Like, so whatever information that you share on there,
please make sure you've detailed it and fill it out thoroughly.
We don't want you to get rejected
for having your profile barely filled out on there.
But if you want to learn more about the program
throughout the day, come chat with myself.
We have a couple other GDEs in the room like I mentioned.
We'll have somebody at the booth during the breaks and lunch.
And, yeah, we'd love to come chat
and hear about your expertise and tell you
more about the program.
With that, well, I wanted to share the agenda with you.
Obviously I'm up here giving you the welcome and a little intro
to our program.
But we do have one change to the schedule.
It's right after the first break.
The change has not been reflected on the website yet.
We'll get that updated.
But we're doing a talk on fairness, not static.
It's fairness in machine learning by Yoni.
He'll be here presenting on that.
But throughout the day--
pardon me-- we carefully put together
this schedule of speakers, because we wanted
to have that advanced content.
But we also wanted that diverse background of content.
So, for example, I was talking to somebody earlier.
And last year was our very first time running this event here
at the Cambridge office.
And somebody was presenting on how
they're using machine learning in the automotive industry.
Some of you who were here last year might remember that talk.
I was speaking to an attendee after that event.
And they were saying that they're
from the health background.
And while that subject matter didn't really
apply to them, what they were doing
in the automotive industry blew his mind.
He's like, I can do this in the health care industry.
This is, like, totally applicable to me.
And so it was really exciting for him.
So I hopefully inspire you with one of our talks today.
So please let us know about this as well.
And then we have a panel discussion right
before the closing.
And we'll have a happy hour at the end
of the day for more networking opportunities
and stuff like that.
And all of our breaks, as well as lunch,
will be right where you had breakfast.
So you don't have to explore too much.
It's all right here easy for all of you.
And then some housekeeping items.
Again, the schedule.
So it's bit.ly/mlai19.
So at fit, any time you want to revisit the schedule,
we do have it available there.
And then we have a running survey feedback
form with questions for all of our speakers.
At each step of the day, you'll be
able to provide your feedback in real time,
because we'll do a raffle at the end of the day.
So this way, you have the opportunity throughout the day
to fill out the survey.
Let us know what you like about the event
and what you didn't like about the event and stuff like that.
Those of you who haven't experienced it
yet, the restrooms, they're back up the ramp to the right
before you go--
there's a sign right there.
So if you need that at any point, that's where they are.
We do have volunteers stationed at various points
to help guide you if you need those directions again.
But certain important pieces of their coffee
is still right outside the room.
And hopefully you enjoyed the swag
that we've provided to you today.
Some of you probably already opened it
and explored it a little bit.
It's a fun little phone bot.
But yeah, so with that, thank you.
Thank you so much.
And we'll kick it off to Forester.
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