good morning everyone and thanks Dr. Winter for that long introduction but I
am excited to be here not only because of Microsoft's great partnership in the
Cascadia Innovation Corridor and the importance to that partnership to the
company I'm also as someone who spends time in
education and I get a chance in my role to travel to about 30 to 40 countries a
year talking to education leaders and ministers and I would have to say and
for those of you do not already know it Canada's education system is one of the
most respected globally it's one of the best national treasures that this great
country has and it's something that is often a point of reference and hope for
countries around the world looking to change and I'm excited to have a context
or a foundation around the role education can and must play with the
innovation discussions the technology discussions that will be happening at
the #BCTECHSummit it's an important dialogue as we see the world around us
changing the role of Technology growing not only in our personal lives but in
the workplace how we keep the world safe how do we solve problems for the future
and technology is going to be a conversation and a topic throughout and
I'll mention technology certainly through my talk this morning but I
wanted a shift and start with mindset and I can tell you as someone who's
visited more than a thousand schools in more than 60 countries mindset is
everything it's what the foundation for change
needs to be not only in our education system but how we transform economies
how we transform workplace mindset starts by how do we shift the
expectation of every learner the reality is in most countries in most parts of
the world and I would argue in many parts of Canada students because of
their economic conditions because of how rule they are and disconnected from
cities maybe even because of their gender they don't walk into schools
expecting that they can must and should have a meaningful role in changing the
world they don't see a limitless potential and future for themselves
teachers have a close mindset about their role
maybe the thinking their role is diminished because of the arrival of
Technology when the opposite is absolutely true so we've got to think
differently this is something that at Microsoft we've embraced lots of the
work that Carol Dweck and Stanford University is done on growth mindset has
been foundational to our transformation and I will pivot throughout my talk this
morning about the role of mindset to shift expectations to think differently
about how we can embrace this opportunity that we're all living in
with technology transformation when I go to schools around the world we talk
about this great transformation it doesn't feel great
unfortunately for lots of educators because they see it as either putting
pressure on them as an educator maybe removing their need and value in the
classroom the reason why there's great transformation is taking place and it is
global I will tell you that the conversations the narrative the
buzzwords around this transformation not only in the economic dynamics but in
education are similar regardless of the country you go to and one of the things
that's become more clear in the last several years in my travels and work in
education is that there's a recognition that education is the engine for
economic growth and development and in this new fourth digital Industrial
Revolution one of the things that has fundamentally changed in the other three
industrial revolutions is that in this new digital economy people don't go to
find jobs jobs find people and when you have talent and you have an educated
population of students and workers leaving institutions to find jobs to
create jobs economic development and prosperity happens and it can happen
globally and so there's a lot of pressure on this transformation the
thing that what schools and many many universities often forget is that the
transformation has already taken place this is not a transformation that is
going to be equal to how many computers or devices that you buy or how much
digitization of textbooks that you do it's a fundamental shift
of how we think about the reality of the three most important things that any
education system can hope to change the first would be the actual mindset of
kids, students we know today students think differently about themselves their
role in the world they use technology and physical reality seamlessly we we
call this generation of students fidgetal and they don't see a difference between
their digital reality whether they consume digital devices collaboration
etc and the world that they live that's something that is becoming natural to
them they also because of that technology see their place in the world
differently and increasingly want to be responsible connect globally to issues
and be purposeful with what they're doing and that's going to become a
pervasive theme throughout the transformation that we need in education
we know that the way these students learn is different this is true for all
of us as well how we share ideas share information how we create content how we
get access to a globally expanding exponentially expanding reality of
content it's changed the way in which we all learn and certainly for students who
are fidgetal learning has fundamentally changed and we know all of you are part
of this the workplace has changed the dynamics of job creation the scale of
global economy the dynamics of manufacturing marketing how we actually
represent businesses and the skills required in this new economy are
different so when you think about education systems trying to transform
and trying to change what we often miss from a mindset shift is recognizing that
the three most important elements that schools could hope to change student
mindset the way in which we learn and the workplace we're preparing our
students for has changed and how do we build on that and it's incredibly
important to build on because as we see the wave of technology trends that are
going to be talked about throughout this conference and I'll touch on the
dynamics of what's potential and the paradigm shifting that will happen with
artificial intelligence in the middle the impact of mix reality
and certainly the emergence of quantum computing has an opportunity to
fundamentally shift and accelerate a lot of the innovation pathway that we've
been on served for the last decade or so and so we've got to get our students
prepared we've got to be thoughtful about how we use these technologies and
certainly we can start with mix reality and I'll just touch on on the dynamics
here and this is not a headset world only and I think oftentimes we think
about mixed reality as it's a son of a virtual reality headset or some
augmented reality technology we've got to understand deeply the connection
technology can have in our physical reality how can technology make us more
assistive how can it be natural how can we cross barriers with language the
reality is the digital reality that people play whether it's online etc
needs to be much more blended as well in this new dynamic so when we think about
mixed reality it's definitely across this spectrum and as we think an emerge
from headset environments as we think about you know a virtual reality
environment or augmented reality that uses technology naturally in our real
world and everywhere in between the future is going to be fueled with mixed
reality activities certainly the classroom has an opportunity to bring
immersive connection to content and experiences into the world for students
and build on that in terms of what we can create in this spectrum now this is
the exciting thing about mix reality it's not just hey I'm in a virtual world
or I'm seeing content differently it's going to allow us not only to help
people who need help with inclusivity but it's going to allow us to create and
make things differently there's an amazing example in Melbourne Australia
with RMIT which is a university in Melbourne that their school of
architecture has actually been using augmented technology and augmented
hololens devices to actually build new construction buildings and as the video
plays you'll get a chance to see how they're using it they built software to
allow them to do this in their school of architecture and what's interesting is
the students are using an augmented reality device to be able
to create different structures sculptures buildings in very different
ways what was interesting about this as I met with the students what the
students shared was these buildings would not be possible without augmented
technology because it's impossible to draw or sketch or build architectural
maps for these types of buildings and even if you did even if you can render a
map or design it's very very hard for contractors to build in this new way
with these new dynamics these new shapes and dimensions so what they're using in
RMIT to actually make these buildings a real reality is they're taking the
render putting in an augmented reality headset and as the the buildings are
welded and constructed the the contractors are actually using augmented
reality devices to understand the angles the wells the placement of beams and
steel and this is opening up an opportunity for creation that wasn't
before possible and this is going to be a huge shift as we think about the
education reality not just seeing the world differently but doing things
differently now as we think about the emergence of AI and emergence of AI is
going to be certainly a topic of conversation it's something that the
world is looking for certainly we know the role a I can play in every industry
in our personal lives and certainly in the world of Education and as we think
about emergence of AI it's not different from any other part of history when we
have an opportunity to make progress overcome challenges whether it's
crossing a river or feeding people how do we use technology devices ingenuity
to solve big challenges and we've had that happen in many many phases
throughout the world where we create the printing press or automobiles etc and as
these innovations have happened there's always been challenges you know well you
know we've got a rise of cars that obviously helps mobilize the population
create new connection create new industry create new jobs and may
displace jobs it may create pollution there's dynamics
around all these technology innovations and this is absolutely clear as we see
the rise of artificial intelligence it's not something that is actually even as
obvious or consistent as you would think we talk with a lot of schools who are
working to provide predictive insight of students who are about to fail this is
helpful versus seeing a student get an F on a paper wouldn't we use AI and
predictive insight to be able to tell a teacher or parent or a student even if
they're at risk of failing well that may seem like a good thing there are many
many parents who absolutely don't want that because they don't want that in the
mindset not only of their children they don't want their teachers thinking that
their student is at risk of failing so we have to think about how this new
opportunity this new innovation can help us and be thought practically now one of
the things about all the phases of this ingenuity and certainly what's happening
in AI it's driven by data and this is a reality and this is a journey and I'll
talk about this narrative fundamentally as it relates to education because I
meet with schools and universities who have this problem and certainly
understand this dynamic but this is I think true in all industries I look at
really four core phases of this data journey and this is critically important
and you need to understand where your organization is maybe the elements
within your organization are as it relates to this data journey because a
lot of the innovation that's going to be possible is gonna be fueled by your
evolution across the spectrum the first phase is the collection phase lots of
data is being collected in many of your institutions and organizations certainly
in schools lots of data though is not collected as well if you have children
in schools think about what happens when their student is in school for a year
and your teacher knows what motivates them they knows what makes them happy
they know the interests that they have outside of school maybe what they want
to be in the future and they're putting grades into a sheet
that's often what's transferred to their next year teacher all that nuance all
that insight is often being lost the data that we are capturing is often
siloed not aligned to systems not transparent for educators or policy
makers etc so we've got to work to say all this data we've got to collect the
right things we've got to make sure that it's obvious and transparent to the
people using the data and purposeful in that guidance so we moved because that
data is overwhelming and it's challenging we know it's important to
display and the display phase is the dashboard phase of the journey this is
where red yellow and green lights become popular this is where we start to think
about hey we've got to organize the data to make it meaningful this is the
shortest phase of the journey and that's partly because once you actually have
exposure to the data once you can see it across your organization or institution
you want to act on it you don't want to look at historical trends and activities
you want to actually say I don't want to see things after they happen I want to
understand how to prevent issues how do I Drive for the future so you use
predictive algorithms use insight to use the data to actually anticipate to
become more adaptive and predictive now the reality of this phase it's
absolutely important but it's not the end we need to use data not only to tell
us where to go but actually go and evolve data to where it actually no
longer needs to be core present upfront because I'm not sure about your
institutions but one of the big challenges that we have with data and a
data-driven culture in schools and universities is that teachers and
professors are not customed to actually looking at dashboards before they build
a lesson before they engage with schools educators don't have the time or maybe
even the interest or maybe the mindset to embrace data and instruction and
increasingly with the rise of AI with the rise of connected systems data will
become the fuel of experiences and this is where AI really becomes magical for
classrooms certainly with the organizations how do you use the data
the insights that you're collecting to drive the right experiences to keep
people safe to save energy to innovate to draw the right
inclusions and strategy and so we've got to talk about this role of AI and really
what it's doing to fundamentally unlock human ingenuity and we often think about
AI as something that is anti human naturally AI is going to remove jobs
it's going to displace workers what we've got to do is actually understand
how AI can help amplify human potential we certainly see that reality in
classrooms where we can use personalized learning to connect students to their
passions what motivates them as a student to make everything that we learn
purposeful and by the way if you have children in school or if you're an
educator or a teacher the most important question every student should ask and we
should ask is why are kids learning what they're learning what are they going to
do with what they learn in a world where answers are on your phone content is
ubiquitous it's much more important now than ever before to give that purposeful
connection and we can use AI to fuel that human innovation and ingenuity and
let's take a look at some of the ways in which that's happening in all of our
lives
behind every great achievement every triumph of human progress you'll find
people driven to move the world forward people finding inspiration where it's
least expected people who lead with their imagination but in an increasingly
complex world we face new challenges
and sometimes it feels like we've reached our limits now with the help of
intelligent technology we can achieve more
we can access information that empowers us in new ways we can see things that we
didn't see before and we can say on top of what matters most when we have the
right tools and AI extends our capabilities we can tap into even
greater potential whether it's a life-changing innovation being the hero
for the day making a difference in someone's future or breaking down
barriers to bring people closer together intelligent technology helps you to see
more do more and be more and when your ingenuity is amplified you are
unstoppable
so it's all about unlocking that potential in people but I want to give
it a practical example and maybe you can also help me participate in this example
and this is a real project Microsoft is working with the snow leopard trust
which is just a little bit below us outside of Seattle and they're using the
Microsoft cloud Azure to apply artificial intelligence to the research
that they're doing on the snow leopard population in Central Asia and there is
a diminishing population of snow leopards on the planet and the
researchers historically have gone to Central Asia and set up trap cameras not
unlike the one you see in this photo and they set these photos up and typically
of three or four times a year they set these cameras up throughout the habitat
and those those cameras take photos hundreds of thousands of photos of snow
leopards so they can help do research sometimes the photos are nice beautiful
shots like this but oftentimes the photos are at night or foggy etc
sometimes we're not actually seeing what we thought and by the way as I talked
about this this is also a metaphor for how data operates in your organization
or institution sometimes it's very clear sometimes it's a little bit dark maybe
you don't understand sometimes it's foggy sometimes you get unexpected you
get something that may look like a Snow Leopard
but it actually is not a lot of times you get really nothing or no clear
insight from this data sometimes it's hard to see you know I'll ask you to
play the role of a snow leopard researcher in with Snow Leopard trust
now imagine hundreds of thousands of photographs that people have to sort
through to find snow leopards looking in images like this is this a Snow Leopard
picture or not there actually is a Snow Leopard here you could see the end of
the tail and this pop pied how about this one there's none in there maybe
this one or you got one on the Left maybe here
you see a pic you see a sow leopard right here maybe the last one very
well-hidden a Snow Leopard staring right at you
now imagine researchers spending time manually going through hundreds of
thousands of images to find snow leopards when we can use the power of
pattern matching recognition of gait an understanding of the dynamics of by
collecting images and getting smarter about finding snow leopards and do this
fairly instantly and sorting these hundreds of thousands of photos to help
the researchers get through the work this is not fundamentally artificial
intelligence we think this is really authentic the intelligence that these
researchers are applying to learn more about snow leopards and actually do the
real research this is the shift this is what we need to embrace as we embrace
the potential of AI now let's give you an example in education this is a
context that we struggle with in classrooms every day
educators struggle with I've got two kids I want to understand which one is
it more risk lots of schools are saying let's bring data to the rescue
let's bring insight to the rescue so let's let me share that example okay now
we've got these students now imagine the system was really really you know
innovative and prevent progressive they're not only thinking about grades
they're thinking about connection to optimism socialization really connecting
to the in social and emotional learning journey that students want so the
educator has a plot of student performance at Grant's this grid you can
apply it to math science history etc grades it's very different and difficult
to understand which student is at more risk what does that even mean
the dynamics of what to do it's very difficult for an educator that's just
two kids most teachers have a lot more than two kids
they've got classrooms of kids schools of kids so it's not just about data
this is going to be true in organizations in every industry it's not
just understanding that we can collect data we can map it we're gonna need to
use new technologies to make the connection to data to understand the
opportunities for us to use the data in the experiences that fuel our work every
digital book that a student has should know who's reading it should know what
motivates them should know what's on their schedule could should understand
their challenges and weaknesses these are the dynamics that we have to bring
that will be powered by the way in which we bring AI to the mix and that's
something that we have to work together on collectively across industry across
vendors to do it I'll touch a little bit on quantum computing and quantum
computing is certainly the largest and certainly the most emerging
technology paradigm that's on this list but it happens to be one of them one
ones that is most fundamental if we're using data and AI to sort and
make data more useful the power that we can harness with quantum is going to
enable us to use that data to solve some of the challenges that are a little bit
out of reach for us to solve with the current computing platform so let's take
a look at some of the work that we're doing at Microsoft some of the work that
will emerge and the impact quantum computing can have on all of us
when we talk about quantum computing it's a completely different game quantum
computing you will enable us to solve problems that currently take longer than
the lifetime of the universe in seconds hours or days we completely reconceive
the space in which we do computation quantum computing is like going from
crawling to going to a different planet
it's different
it's only natural that we would want to use the world's most powerful device to
combat the world's most challenging problems we could attack global warming
security what are the boundaries of machine learning fighting diseases
the possibilities of modern computers are endless
Microsoft has the best and the brightest it's working on this problem
it's really happening progress is very fast we're building a quantum computer
but the world wants to know us what happens when we turn the machine on
what problems will be solvable with a computer that computes in a billion
parallel universes at the same time
so the potential of quantum and certainly mixed reality and AI are huge
one of the challenges that all of you face certainly the world faces is
finding students to innovate to build to create the future with those three
technology paradigms is hard it's impossible for companies to find the
technology staff the developers the data scientists the robotics engineers to
drive the connection and this is the change and we see this is attention
often between why students are in school and what their role is and what they
want to do in their future the perception of the way in which the
system or institutions are driving things like curriculum and the testing
model that exists in many countries and the role of educators to harness that
purposeful learning connection this is creating a global crisis of skills
around the world and this is true increasingly where the innovation
opportunities that countries increasingly do have is not met based on
the outcome and the output of institutions we have this inside of her
even the the dynamics with what we call stem or steam which increasingly is a T
problem not an SEM problem it's understanding the dynamics of Technology
in the role of Technology I think in 2015 only 12% of computer science
graduates which is a small population we need a lot more of 12% of those had
expertise with cloud computing when that's driving the change of the world
in that population 10% are women so we've got a problem inside that T but
increasingly as we think about AI and robotics and quantum computing mixed
reality the gap is greater and we've got to work on that we see it happening with
youth unemployment and certainly Canada is in a good position as it relates to
this global dynamic but as we think about the youth unemployment we see
Canada doing very well globally but the economic dynamics around education are
universal and that's creating pressure on the system and Microsoft were
starting to work with harnessing the power and potential of our
of the role LinkedIn can play with not only getting a student a purposeful
connection to learning but actually harnessing what they're learning and
what they need to prepare for the workforce that's changing we have a
project that's going on in India and Andhra Pradesh in India to actually
drive that work to make it real for students to give them a connection on
why they're in school and how they can prepare for the future harnessing the
power of the LinkedIn graph connected to their education landscape and let's take
a look at project Sangam in Andhra Pradesh India ended other than the job I
so this is just getting started but the connection between why we're learning
what we're learning what we're going to do with it
what we can make is critical it's critical to inspire students it's
critical to unleash the talent that exists everywhere around the planet in
every classroom and it's not just helping kids get a job the reality is
that's not enough in many cases the youth unemployment is challenged because
there's not enough entrepreneurship and job creation and in this digital
Industrial Revolution that's what we've got to do we've got to inspire students
to create jobs building on the skills that are not only going to be necessary
in the workplace but going to fuel their passion and their lifelong learning
growth and this is the work we've got to do across these we often call these
historically the four C's creativity critical thinking collaboration and
communication certainly we understand computational thinking computing is
entered that top C and I'll add another C maybe a six C and that's character
increasingly in the global world that we live in the complex dynamics not only
with regards to technology but the implication of ethics around how we use
technology understanding how we can have a meaningful world up a world connection
to helping people around the world live better lives character is going to be
essential for students and giving them that growth mindset to overcome
obstacles to believe that they can achieve to go into schools expecting a
greater future for themselves and their family and they've got to embrace that
growth mindset it's what's fueling everything that we do at Microsoft and
I'm gonna close with just an example of applying that growth mindset to a
project that started here in Vancouver so I'm gonna talk a little bit about the
work that we've done at Microsoft with our hackathons and I'm looking forward
to in in July I'll be part of many hackathons I have a number of ideas and
I'm forming teams now it's an opportunity that every year the company
gets teams together across disciplines across talents to build and innovate
with ideas that connect to their personal passion how they can use their
talents to great work and we had a hackathon team led by our
engineering team in Vancouver who created a hack called learning tools now
learning tools that started out as an add-in to OneNote OneNote is a product
in office 365 it's available cross-platform cross-device is available
for free for students around the world to help kids primarily with dyslexia or
dysgraphia learn to read more effectively what we've learned and that
was a tremendously noble mission I'll share a little bit more about it what
we've learned about the work that we do around inclusive technology it unlocks
potential for everyone it unlocks understanding of how we use language in
this context how do we use our own AI platforms and technologies to make an
experience possible for kids we've got increasingly think about
inclusivity in terms of the work that we do and it's driving and fueling
innovation across many unexpected disciplines and that's absolutely true
what's with what's happening with learning tools now learning tools can
take anything texts notes that you're taking maybe even a photograph of a
piece of paper and not only bring that into a clean easy to read experience but
understand languages understand words read back to a student who's struggling
to read and the results of this have been incredible students that have
struggled to read beyond their grade level are advancing multiple grade
levels in a very very short amount of time teachers who have had problems with
students who not only have dyslexia dysgraphia but maybe I've just struggled
to read are unlocking potential and confidence in kids and let me share a
that's a tool it's an amazing tool it started here in Vancouver as part of our
partnership with the Cascadia innovation corridor the work that we're doing
together in Canada that's a tool used all around the world by educators and
students and that speaks to the change that we all need to make to lead
embracing a growth mindset on how we're going to apply this innovation that we
all have capacity to do think about the role technology can have to make the
world a better place and to unleash the potential in every amazing kid on the
planet thanks to work that all of you do as
leaders as technology innovators to drive that change not only for Canada
but for the world thanks for the work that you're doing Microsoft is happy and
proud to be a part of it in Canada and globally and have a great #BCTECHSummit
thank you
you
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