good evening everyone so today I’m going to talk to you about transformation
to talk to you about transformation
to talk to you about transformation and why transformation is so important
and why transformation is so important
and why transformation is so important you know both individually and also for
you know both individually and also for
you know both individually and also for corporations you know to meet you know
corporations you know to meet you know
corporations you know to meet you know changing needs of the marketplace in the
changing needs of the marketplace in the
changing needs of the marketplace in the world so before I talk about
world so before I talk about
world so before I talk about corporations all that I’m going to talk
corporations all that I’m going to talk
corporations all that I’m going to talk a little bit about my transformation so
a little bit about my transformation so
a little bit about my transformation so I graduated in 2009 with a degree in
I graduated in 2009 with a degree in
I graduated in 2009 with a degree in biology if you can believe it and after
biology if you can believe it and after
biology if you can believe it and after graduating not a whole lot of jobs out
graduating not a whole lot of jobs out
graduating not a whole lot of jobs out there I did some side jobs I did some
there I did some side jobs I did some
there I did some side jobs I did some volunteering still not sure what I’m
volunteering still not sure what I’m
volunteering still not sure what I’m gonna end up doing I was I will tell you
gonna end up doing I was I will tell you
gonna end up doing I was I will tell you I was this close to submitting my
I was this close to submitting my
I was this close to submitting my paperwork to do a fellowship in ceramics
paperwork to do a fellowship in ceramics
paperwork to do a fellowship in ceramics and then someone called me a friend of
and then someone called me a friend of
and then someone called me a friend of mine who said that the Arkansas Symphony
mine who said that the Arkansas Symphony
mine who said that the Arkansas Symphony Orchestra was hiring and I said great
Orchestra was hiring and I said great
Orchestra was hiring and I said great let’s do this so I moved to Arkansas
let’s do this so I moved to Arkansas
let’s do this so I moved to Arkansas went to work for the Arkansas Symphony
went to work for the Arkansas Symphony
went to work for the Arkansas Symphony Orchestra and did that for a period of
Orchestra and did that for a period of
Orchestra and did that for a period of time and loved it
time and loved it
time and loved it shortly thereafter I was given the
shortly thereafter I was given the
shortly thereafter I was given the opportunity to join HP hewlett-packard
opportunity to join HP hewlett-packard
opportunity to join HP hewlett-packard and again I said alright both feet in
and again I said alright both feet in
and again I said alright both feet in let’s jump in and do this I went from an
let’s jump in and do this I went from an
let’s jump in and do this I went from an employer of eight people to an employer
employer of eight people to an employer
employer of eight people to an employer of three hundred thousand-plus and it
of three hundred thousand-plus and it
of three hundred thousand-plus and it was definitely overwhelming while I was
was definitely overwhelming while I was
was definitely overwhelming while I was at HP I got involved with an
at HP I got involved with an
at HP I got involved with an organization called the young employee
organization called the young employee
organization called the young employee Network and yen brought young employees
Network and yen brought young employees
Network and yen brought young employees together from around HP you know all
together from around HP you know all
together from around HP you know all over the globe concentrated in the sites
over the globe concentrated in the sites
over the globe concentrated in the sites to bring them people to talk about
to bring them people to talk about
to bring them people to talk about mentoring experiences and help answer
mentoring experiences and help answer
mentoring experiences and help answer questions like how do I get promoted how
questions like how do I get promoted how
questions like how do I get promoted how do I advance my career how do I find a
do I advance my career how do I find a
do I advance my career how do I find a mentor how do I be successful in a
mentor how do I be successful in a
mentor how do I be successful in a global corporation when you know you
global corporation when you know you
global corporation when you know you could have a six-digit employee number
could have a six-digit employee number
could have a six-digit employee number and yen became really a passion of mine
and yen became really a passion of mine
and yen became really a passion of mine and so I became a leader of that
and so I became a leader of that
and so I became a leader of that organization and and my goal was to help
organization and and my goal was to help
organization and and my goal was to help other young employees younger than me
other young employees younger than me
other young employees younger than me find those same answers and and navigate
find those same answers and and navigate
find those same answers and and navigate this corporate machine now through yen I
this corporate machine now through yen I
this corporate machine now through yen I became involved with an organization
became involved with an organization
became involved with an organization called one young world and one young
called one young world and one young
called one young world and one young world is a uk-based charity that is
world is a uk-based charity that is
world is a uk-based charity that is similar in mind they bring together
similar in mind they bring together
similar in mind they bring together young leaders from around the world
young leaders from around the world
young leaders from around the world to tackle big global problems like
to tackle big global problems like
to tackle big global problems like conflict and peace but corporations send
conflict and peace but corporations send
conflict and peace but corporations send delegations of employees there and
delegations of employees there and
delegations of employees there and they’re all young employees right it’s
they’re all young employees right it’s
they’re all young employees right it’s one young world and so we come together
one young world and so we come together
one young world and so we come together as groups of people from big
as groups of people from big
as groups of people from big multinational corporations to try to
multinational corporations to try to
multinational corporations to try to answer those same questions
answer those same questions
answer those same questions how does HP do it versus L’Oreal you
how does HP do it versus L’Oreal you
how does HP do it versus L’Oreal you know what are things that we can share
know what are things that we can share
know what are things that we can share between different companies so that
between different companies so that
between different companies so that everyone can ultimately be more
everyone can ultimately be more
everyone can ultimately be more successful so I work for HP for a number
successful so I work for HP for a number
successful so I work for HP for a number of years and get the opportunity to join
of years and get the opportunity to join
of years and get the opportunity to join IBM and again I jump at the moment and
IBM and again I jump at the moment and
IBM and again I jump at the moment and the opportunity and so I I come over to
the opportunity and so I I come over to
the opportunity and so I I come over to Big Blue once I got there I realized
Big Blue once I got there I realized
Big Blue once I got there I realized that I wanted to be a part of an
that I wanted to be a part of an
that I wanted to be a part of an organization that was like yen I wanted
organization that was like yen I wanted
organization that was like yen I wanted to be part of an organization that helps
to be part of an organization that helps
to be part of an organization that helps employees find their way young employees
employees find their way young employees
employees find their way young employees navigate their career and and so on and
navigate their career and and so on and
navigate their career and and so on and so forth and so I became involved with
so forth and so I became involved with
so forth and so I became involved with an organization called the Millennial
an organization called the Millennial
an organization called the Millennial core now I’m gonna talk a lot more about
core now I’m gonna talk a lot more about
core now I’m gonna talk a lot more about the Millennial core in a little bit so
the Millennial core in a little bit so
the Millennial core in a little bit so I’m gonna set that down now as I
I’m gonna set that down now as I
I’m gonna set that down now as I transformed and went from biology to
transformed and went from biology to
transformed and went from biology to technology and business I want to focus
technology and business I want to focus
technology and business I want to focus a little bit more about IBM and IBM’s
a little bit more about IBM and IBM’s
a little bit more about IBM and IBM’s transformation so the IBM of nineteen
transformation so the IBM of nineteen
transformation so the IBM of nineteen eleven is very different from the IBM of
eleven is very different from the IBM of
eleven is very different from the IBM of 2017 iBM has transformed itself over the
2017 iBM has transformed itself over the
2017 iBM has transformed itself over the years and decades because of
years and decades because of
years and decades because of advancements in technology and the
advancements in technology and the
advancements in technology and the changing face of how people interact
changing face of how people interact
changing face of how people interact with technology and also changing needs
with technology and also changing needs
with technology and also changing needs of corporations and companies that would
of corporations and companies that would
of corporations and companies that would use technology from IBM so just two
use technology from IBM so just two
use technology from IBM so just two three points of IBM’s history the first
three points of IBM’s history the first
three points of IBM’s history the first is 1969 we are using our system/360
is 1969 we are using our system/360
is 1969 we are using our system/360 mainframes to
mainframes to
mainframes to NASA performed the computational
NASA performed the computational
NASA performed the computational analysis tool and man on the moon in the
analysis tool and man on the moon in the
analysis tool and man on the moon in the 60s mainframes were the primary method
60s mainframes were the primary method
60s mainframes were the primary method of community of computation for anyone
of community of computation for anyone
of community of computation for anyone mainframes today are still very
mainframes today are still very
mainframes today are still very important
important
important IBM still makes mainframes and they’re
IBM still makes mainframes and they’re
IBM still makes mainframes and they’re much more advanced than they were in
much more advanced than they were in
much more advanced than they were in 1969 I promise you but the world has
1969 I promise you but the world has
1969 I promise you but the world has moved past mainframes as well you know
moved past mainframes as well you know
moved past mainframes as well you know we we were able to do things like
we we were able to do things like
we we were able to do things like miniaturization of technology and so we
miniaturization of technology and so we
miniaturization of technology and so we went from mainframes to client servers
went from mainframes to client servers
went from mainframes to client servers and then that’s a much smaller device
and then that’s a much smaller device
and then that’s a much smaller device and then we figure out how to do
and then we figure out how to do
and then we figure out how to do something called virtualization and now
something called virtualization and now
something called virtualization and now we’re able to split that up into smaller
we’re able to split that up into smaller
we’re able to split that up into smaller pieces and now we’re in this area called
pieces and now we’re in this area called
pieces and now we’re in this area called cloud which is simply an evolution of
cloud which is simply an evolution of
cloud which is simply an evolution of where we were in the 1960s with
where we were in the 1960s with
where we were in the 1960s with mainframe computing except now we’ve
mainframe computing except now we’ve
mainframe computing except now we’ve evolved to meet the changing business
evolved to meet the changing business
evolved to meet the changing business needs 1981 IBM releases what is called
needs 1981 IBM releases what is called
needs 1981 IBM releases what is called the 5150 or our first personal computer
the 5150 or our first personal computer
the 5150 or our first personal computer and we’re right on the edge of the of
and we’re right on the edge of the of
and we’re right on the edge of the of the PC revolution to put it in
the PC revolution to put it in
the PC revolution to put it in perspective a 5150 cost $1500
perspective a 5150 cost $1500
perspective a 5150 cost $1500 approximately and can sit on your
approximately and can sit on your
approximately and can sit on your tabletop and IBM mainframe costs six or
tabletop and IBM mainframe costs six or
tabletop and IBM mainframe costs six or seven million dollars and requires a
seven million dollars and requires a
seven million dollars and requires a quarter acre of air-conditioned space
quarter acre of air-conditioned space
quarter acre of air-conditioned space PCs fundamentally changed the way that
PCs fundamentally changed the way that
PCs fundamentally changed the way that humans interact with technology because
humans interact with technology because
humans interact with technology because it made it incredibly accessible we also
it made it incredibly accessible we also
it made it incredibly accessible we also started using things like the Internet
started using things like the Internet
started using things like the Internet and we became very very interconnected
and we became very very interconnected
and we became very very interconnected with one another even though we were
with one another even though we were
with one another even though we were separated by huge geographies now we’re
separated by huge geographies now we’re
separated by huge geographies now we’re almost in a post PC era because tablets
almost in a post PC era because tablets
almost in a post PC era because tablets and smartphones are incredibly powerful
and smartphones are incredibly powerful
and smartphones are incredibly powerful much more powerful than the first
much more powerful than the first
much more powerful than the first species but as powerful as some pcs
species but as powerful as some pcs
species but as powerful as some pcs today and IBM correspondingly has
today and IBM correspondingly has
today and IBM correspondingly has transitioned and-and-and moved away from
transitioned and-and-and moved away from
transitioned and-and-and moved away from the PC market because we are looking at
the PC market because we are looking at
the PC market because we are looking at changing needs so now let’s go forward
changing needs so now let’s go forward
changing needs so now let’s go forward 30 years to 2011 after a few years of
30 years to 2011 after a few years of
30 years to 2011 after a few years of research IBM Pitts our artificial
research IBM Pitts our artificial
research IBM Pitts our artificial intelligence supercomputer Watson and
intelligence supercomputer Watson and
intelligence supercomputer Watson and Watson wins
Watson wins
Watson wins in jeopardy now Watson at that point was
in jeopardy now Watson at that point was
in jeopardy now Watson at that point was a supercomputer that was designed to
a supercomputer that was designed to
a supercomputer that was designed to hear answers and respond with questions
hear answers and respond with questions
hear answers and respond with questions Watson of today is a set of tools and
Watson of today is a set of tools and
Watson of today is a set of tools and services that allow computers to
services that allow computers to
services that allow computers to understand information the way humans do
understand information the way humans do
understand information the way humans do with speech written written word there
with speech written written word there
with speech written written word there spoken word text as opposed to tables
spoken word text as opposed to tables
spoken word text as opposed to tables and spreadsheets and things like that
and spreadsheets and things like that
and spreadsheets and things like that image recognition and furthermore Watson
image recognition and furthermore Watson
image recognition and furthermore Watson allows computers to do things like
allows computers to do things like
allows computers to do things like emotional analysis understanding
emotional analysis understanding
emotional analysis understanding sentiment and tone and so we’ve even
sentiment and tone and so we’ve even
sentiment and tone and so we’ve even moved forward since 2011 to 2017 with
moved forward since 2011 to 2017 with
moved forward since 2011 to 2017 with Watson and I want to talk a little bit
Watson and I want to talk a little bit
Watson and I want to talk a little bit more about what Watson is doing and I’ll
more about what Watson is doing and I’ll
more about what Watson is doing and I’ll cover that here in just a few moments
cover that here in just a few moments
cover that here in just a few moments now iBM has been transitioning as a
now iBM has been transitioning as a
now iBM has been transitioning as a corporation to meet the changing needs
corporation to meet the changing needs
corporation to meet the changing needs of technology and technological
of technology and technological
of technology and technological advancements but IBM it’s in addition
advancements but IBM it’s in addition
advancements but IBM it’s in addition needs to advance itself in the way that
needs to advance itself in the way that
needs to advance itself in the way that it approaches its employees we have a
it approaches its employees we have a
it approaches its employees we have a new generation on the block
new generation on the block
new generation on the block the Millennials according to PwC the
the Millennials according to PwC the
the Millennials according to PwC the millennial generation was set to become
millennial generation was set to become
millennial generation was set to become 50% of the workforce by 2020 if you
50% of the workforce by 2020 if you
50% of the workforce by 2020 if you reach out and look at different forms of
reach out and look at different forms of
reach out and look at different forms of research the Pew Research Foundation for
research the Pew Research Foundation for
research the Pew Research Foundation for the United States has said that already
the United States has said that already
the United States has said that already happened in 2015 Deloitte prepared a
happened in 2015 Deloitte prepared a
happened in 2015 Deloitte prepared a millennial survey they do one every year
millennial survey they do one every year
millennial survey they do one every year in the Millennial survey of 2016 they
in the Millennial survey of 2016 they
in the Millennial survey of 2016 they concluded that of those surveyed about
concluded that of those surveyed about
concluded that of those surveyed about 8,000 people 66 percent of them
8,000 people 66 percent of them
8,000 people 66 percent of them indicated they would have left their
indicated they would have left their
indicated they would have left their current employer by 2020
current employer by 2020
current employer by 2020 that’s only three years so this new
that’s only three years so this new
that’s only three years so this new generation of employees are less loyal
generation of employees are less loyal
generation of employees are less loyal to a degree because they’re interested
to a degree because they’re interested
to a degree because they’re interested in looking for you know other
in looking for you know other
in looking for you know other opportunities if it’s going to advance
opportunities if it’s going to advance
opportunities if it’s going to advance their careers and Millennials as well
their careers and Millennials as well
their careers and Millennials as well all through this through the survey were
all through this through the survey were
all through this through the survey were found to care more about the ethics of a
found to care more about the ethics of a
found to care more about the ethics of a corporation and and looking at you know
corporation and and looking at you know
corporation and and looking at you know advancements and and achievement past
advancements and and achievement past
advancements and and achievement past profits which previous generations
profits which previous generations
profits which previous generations didn’t necessarily value as much so how
didn’t necessarily value as much so how
didn’t necessarily value as much so how do corporations attract people that are
do corporations attract people that are
do corporations attract people that are going to be top talent how do they bring
going to be top talent how do they bring
going to be top talent how do they bring in top talent that think differently
in top talent that think differently
in top talent that think differently from the generations previous to them
from the generations previous to them
from the generations previous to them IBM was looking for ways to boost
IBM was looking for ways to boost
IBM was looking for ways to boost employee engagement in the millennial
employee engagement in the millennial
employee engagement in the millennial generation and also Generation Z the
generation and also Generation Z the
generation and also Generation Z the generation after Millennials they
generation after Millennials they
generation after Millennials they brought together a small group of people
brought together a small group of people
brought together a small group of people to form what is called the Millennial
to form what is called the Millennial
to form what is called the Millennial core the Millennial core is tasked with
core the Millennial core is tasked with
core the Millennial core is tasked with two things one is boosting employee
two things one is boosting employee
two things one is boosting employee engagement actually three things
engagement actually three things
engagement actually three things employee engagement and then attracting
employee engagement and then attracting
employee engagement and then attracting millennial top talent but more
millennial top talent but more
millennial top talent but more importantly retaining that top talent
importantly retaining that top talent
importantly retaining that top talent because we need to have people stay if
because we need to have people stay if
because we need to have people stay if we want to make the next leaders of IBM
we want to make the next leaders of IBM
we want to make the next leaders of IBM millennial core has been hard at work
millennial core has been hard at work
millennial core has been hard at work doing different activities to both
doing different activities to both
doing different activities to both attract which is over here on one side
attract which is over here on one side
attract which is over here on one side but then also retain which is on the
but then also retain which is on the
but then also retain which is on the other so now I’d like to focus on just a
other so now I’d like to focus on just a
other so now I’d like to focus on just a few of those things in the world of
few of those things in the world of
few of those things in the world of fashion not something that is you know
fashion not something that is you know
fashion not something that is you know synonymous with IBM we’re really
synonymous with IBM we’re really
synonymous with IBM we’re really focusing on areas that aren’t normally
focusing on areas that aren’t normally
focusing on areas that aren’t normally touched by our corporation iBM is very
touched by our corporation iBM is very
touched by our corporation iBM is very popular and and we use and work with
popular and and we use and work with
popular and and we use and work with other corporations and governments and
other corporations and governments and
other corporations and governments and we try to solve big problems in
we try to solve big problems in
we try to solve big problems in healthcare so we’re trying to attract
healthcare so we’re trying to attract
healthcare so we’re trying to attract different groups and we’re trying to
different groups and we’re trying to
different groups and we’re trying to find people that who’s interested is
find people that who’s interested is
find people that who’s interested is piqued by IBM so in the area of fashion
piqued by IBM so in the area of fashion
piqued by IBM so in the area of fashion we partnered with Marchesa a designer
we partnered with Marchesa a designer
we partnered with Marchesa a designer Marchesa and we created what’s called
Marchesa and we created what’s called
Marchesa and we created what’s called the cognitive dress using Watson
the cognitive dress using Watson
the cognitive dress using Watson technologies we analyzed all of
technologies we analyzed all of
technologies we analyzed all of Marquesas previous designs to come up
Marquesas previous designs to come up
Marquesas previous designs to come up with a color palette
with a color palette
with a color palette and then we analyzed different textiles
and then we analyzed different textiles
and then we analyzed different textiles and fabrics to identify what would be
and fabrics to identify what would be
and fabrics to identify what would be best with LED technologies and this
best with LED technologies and this
best with LED technologies and this dress on the screen behind me is
dress on the screen behind me is
dress on the screen behind me is integrated with LEDs and during the Met
integrated with LEDs and during the Met
integrated with LEDs and during the Met Gala at which this dress was introduced
Gala at which this dress was introduced
Gala at which this dress was introduced the dresses LEDs would change colors
the dresses LEDs would change colors
the dresses LEDs would change colors based on real-time social media
based on real-time social media
based on real-time social media sentiment analysis so as people were
sentiment analysis so as people were
sentiment analysis so as people were tweeting and posting on Facebook and and
tweeting and posting on Facebook and and
tweeting and posting on Facebook and and talking about the the ball the dress
talking about the the ball the dress
talking about the the ball the dress would change colors to correspond with
would change colors to correspond with
would change colors to correspond with that looking into the area of music we
that looking into the area of music we
that looking into the area of music we partnered with the producer and artist
partnered with the producer and artist
partnered with the producer and artist Alex to kit to help him create his next
Alex to kit to help him create his next
Alex to kit to help him create his next big song this was this was last year we
big song this was this was last year we
big song this was this was last year we used Watson technologies again to
used Watson technologies again to
used Watson technologies again to analyze five years worth of cultural
analyze five years worth of cultural
analyze five years worth of cultural data looking for ubiquitous themes and
data looking for ubiquitous themes and
data looking for ubiquitous themes and emotions and trends we then used Watson
emotions and trends we then used Watson
emotions and trends we then used Watson to analyze 20,000 recent popular songs
to analyze 20,000 recent popular songs
to analyze 20,000 recent popular songs for tone and again emotions and patterns
for tone and again emotions and patterns
for tone and again emotions and patterns and we visualized it in a way that Alex
and we visualized it in a way that Alex
and we visualized it in a way that Alex could use this to his advantage to try
could use this to his advantage to try
could use this to his advantage to try to find ubiquitous emotions and he
to find ubiquitous emotions and he
to find ubiquitous emotions and he ultimately chose heartbreak the
ultimately chose heartbreak the
ultimately chose heartbreak the universality of heartbreak and you can
universality of heartbreak and you can
universality of heartbreak and you can go and listen to his song that where
go and listen to his song that where
go and listen to his song that where that was released last year
that was released last year
that was released last year that’s called it’s not easy in addition
that’s called it’s not easy in addition
that’s called it’s not easy in addition to doing this partnership with Alex to
to doing this partnership with Alex to
to doing this partnership with Alex to kid we partnered with day breaker day
kid we partnered with day breaker day
kid we partnered with day breaker day breaker is an early morning dance
breaker is an early morning dance
breaker is an early morning dance movement and we partnered with them to
movement and we partnered with them to
movement and we partnered with them to do something called the cognitive dance
do something called the cognitive dance
do something called the cognitive dance party everyone that attended had a
party everyone that attended had a
party everyone that attended had a personality assessment completed by
personality assessment completed by
personality assessment completed by Watson before they arrived and that
Watson before they arrived and that
Watson before they arrived and that personality assessment paired them up
personality assessment paired them up
personality assessment paired them up with the workout routine they were going
with the workout routine they were going
with the workout routine they were going to do the breakfast that they were going
to do the breakfast that they were going
to do the breakfast that they were going to have and the outfit that they were
to have and the outfit that they were
to have and the outfit that they were going to wear and they were split up
going to wear and they were split up
going to wear and they were split up into three different groups and then
into three different groups and then
into three different groups and then everybody went and attended and after
everybody went and attended and after
everybody went and attended and after you do the workout and the breakfast and
you do the workout and the breakfast and
you do the workout and the breakfast and everything you have a dance party and
everything you have a dance party and
everything you have a dance party and the floor of the dance party was powered
the floor of the dance party was powered
the floor of the dance party was powered by Watson again looking at the the vibe
by Watson again looking at the the vibe
by Watson again looking at the the vibe and the mood of the room and
and the mood of the room and
and the mood of the room and correspondingly chain
correspondingly chain
correspondingly chain to meet that now both of these actually
to meet that now both of these actually
to meet that now both of these actually all three of these things here are on
all three of these things here are on
all three of these things here are on the how do we attract people that
the how do we attract people that
the how do we attract people that wouldn’t necessarily think of IBM and
wouldn’t necessarily think of IBM and
wouldn’t necessarily think of IBM and how do we make IBM relevant in different
how do we make IBM relevant in different
how do we make IBM relevant in different fields that we don’t normally touch
fields that we don’t normally touch
fields that we don’t normally touch fast forward 2020 on this side is about
fast forward 2020 on this side is about
fast forward 2020 on this side is about IBM looking inward this was a group of
IBM looking inward this was a group of
IBM looking inward this was a group of 56 Millennials myself included that went
56 Millennials myself included that went
56 Millennials myself included that went out and met with our cohorts all of us
out and met with our cohorts all of us
out and met with our cohorts all of us surveyed are our fellow employees to ask
surveyed are our fellow employees to ask
surveyed are our fellow employees to ask questions like how do I overcome
questions like how do I overcome
questions like how do I overcome bureaucracy how do I advance my career
bureaucracy how do I advance my career
bureaucracy how do I advance my career how can we communicate more effectively
how can we communicate more effectively
how can we communicate more effectively how do we make IBM relevant for the next
how do we make IBM relevant for the next
how do we make IBM relevant for the next generation of consumers all of these
generation of consumers all of these
generation of consumers all of these people came together after coming up
people came together after coming up
people came together after coming up with all of the after getting all this
with all of the after getting all this
with all of the after getting all this feedback and all of these answers and we
feedback and all of these answers and we
feedback and all of these answers and we we went through Design Thinking and we
we went through Design Thinking and we
we went through Design Thinking and we came up with ideas as to how to address
came up with ideas as to how to address
came up with ideas as to how to address this each team pitched their idea to the
this each team pitched their idea to the
this each team pitched their idea to the CEO and since June of last year we have
CEO and since June of last year we have
CEO and since June of last year we have been working on implementing these ideas
been working on implementing these ideas
been working on implementing these ideas Fast ForWord is all about making IBM a
Fast ForWord is all about making IBM a
Fast ForWord is all about making IBM a better place to work in an easier place
better place to work in an easier place
better place to work in an easier place to work because we ultimately want to
to work because we ultimately want to
to work because we ultimately want to make it someplace where someone can make
make it someplace where someone can make
make it someplace where someone can make a career they’re not someone to work for
a career they’re not someone to work for
a career they’re not someone to work for two or three years and be gone by 2020
so transformation is very important we
so transformation is very important we obviously are transforming IBM
obviously are transforming IBM
obviously are transforming IBM transforms to meet the changing face of
transforms to meet the changing face of
transforms to meet the changing face of technology and also to meet the changing
technology and also to meet the changing
technology and also to meet the changing needs of their employees and the that
needs of their employees and the that
needs of their employees and the that changing group I obviously have started
changing group I obviously have started
changing group I obviously have started in biology very very far from where I am
in biology very very far from where I am
in biology very very far from where I am now in technology and business
now in technology and business
now in technology and business transformation is essential according to
transformation is essential according to
transformation is essential according to a survey that as it’s actually popular
a survey that as it’s actually popular
a survey that as it’s actually popular sentiment that came out in a World
sentiment that came out in a World
sentiment that came out in a World Economic Forum survey called the future
Economic Forum survey called the future
Economic Forum survey called the future of jobs said that kids entering primary
of jobs said that kids entering primary
of jobs said that kids entering primary school
school
school day of them 65% of them will work in
day of them 65% of them will work in
day of them 65% of them will work in jobs and careers that don’t yet exist
jobs and careers that don’t yet exist
jobs and careers that don’t yet exist just because it’s true for those kids
just because it’s true for those kids
just because it’s true for those kids entering primary school doesn’t mean
entering primary school doesn’t mean
entering primary school doesn’t mean it’s equally as true for everyone that’s
it’s equally as true for everyone that’s
it’s equally as true for everyone that’s in the workforce now and so we need to
in the workforce now and so we need to
in the workforce now and so we need to continue to transform ourselves and
continue to transform ourselves and
continue to transform ourselves and learn new skills so that we as employees
learn new skills so that we as employees
learn new skills so that we as employees and and members of the workforce can
and and members of the workforce can
and and members of the workforce can continue to meet the changing needs of
continue to meet the changing needs of
continue to meet the changing needs of that workforce and of that society
that workforce and of that society
that workforce and of that society lastly this is my contact information if
lastly this is my contact information if
lastly this is my contact information if anyone would like to reach out to me
anyone would like to reach out to me
anyone would like to reach out to me more to talk more about this I would be
more to talk more about this I would be
more to talk more about this I would be more than happy to and with that I thank
more than happy to and with that I thank
more than happy to and with that I thank you
”
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