yeah good afternoon luckily luckily there was a video in between Mike and
there was a video in between Mike and
there was a video in between Mike and myself because that was I’m actually in
myself because that was I’m actually in
myself because that was I’m actually in love with my Apple watch
love with my Apple watch
love with my Apple watch it lets me not lose any call from my
it lets me not lose any call from my
it lets me not lose any call from my wife I work for GE and we produce
wife I work for GE and we produce
wife I work for GE and we produce locomotives as well as many other things
locomotives as well as many other things
locomotives as well as many other things but we definitely do that and I’m going
but we definitely do that and I’m going
but we definitely do that and I’m going to talk to you about what is the beauty
to talk to you about what is the beauty
to talk to you about what is the beauty in between a frontier that is blurring
in between a frontier that is blurring
in between a frontier that is blurring in between human beings and machines and
in between human beings and machines and
in between human beings and machines and how they might turn into a positive spin
how they might turn into a positive spin
how they might turn into a positive spin so yeah I’ll just try to give us that
so yeah I’ll just try to give us that
so yeah I’ll just try to give us that honor I’m a CEO so chief information
honor I’m a CEO so chief information
honor I’m a CEO so chief information officer what am I supposed to be doing
officer what am I supposed to be doing
officer what am I supposed to be doing in 2017 that’s a fundamental question
in 2017 that’s a fundamental question
in 2017 that’s a fundamental question that I have in front of me and then I’m
that I have in front of me and then I’m
that I have in front of me and then I’m trying every single day to give the
trying every single day to give the
trying every single day to give the right answer to Curley yes and my help
right answer to Curley yes and my help
right answer to Curley yes and my help me so bit of a calibration here I’m not
me so bit of a calibration here I’m not
me so bit of a calibration here I’m not a baby boomer there are a few baby baby
a baby boomer there are a few baby baby
a baby boomer there are a few baby baby boomers in the room majority is Gen Y or
boomers in the room majority is Gen Y or
boomers in the room majority is Gen Y or gen said but Gen X the one that I belong
gen said but Gen X the one that I belong
gen said but Gen X the one that I belong to is the one that actually went through
to is the one that actually went through
to is the one that actually went through this 120 yeah 1990 10 years there was
this 120 yeah 1990 10 years there was
this 120 yeah 1990 10 years there was the moment where internet was growing we
the moment where internet was growing we
the moment where internet was growing we were actually focusing more in the
were actually focusing more in the
were actually focusing more in the availability of the information their
availability of the information their
availability of the information their basic form there was not a lot of
basic form there was not a lot of
basic form there was not a lot of research on user experience and actually
research on user experience and actually
research on user experience and actually applications that that time sucked I
applications that that time sucked I
applications that that time sucked I don’t know if anybody if you went
don’t know if anybody if you went
don’t know if anybody if you went through Archie or gopher for University
through Archie or gopher for University
through Archie or gopher for University kind of research the most far item from
kind of research the most far item from
kind of research the most far item from the wiki that was mentioned before
the wiki that was mentioned before
the wiki that was mentioned before anyhow that that is what was happening
anyhow that that is what was happening
anyhow that that is what was happening what was 80 doing at the time well we
what was 80 doing at the time well we
what was 80 doing at the time well we were connecting cables that’s in essence
were connecting cables that’s in essence
were connecting cables that’s in essence what we were doing so we were plugging
what we were doing so we were plugging
what we were doing so we were plugging computers making sure that telephone
computers making sure that telephone
computers making sure that telephone worked the communication was there that
worked the communication was there that
worked the communication was there that was in essence what falls under the name
was in essence what falls under the name
was in essence what falls under the name of the ICT connecting cables ensuring
of the ICT connecting cables ensuring
of the ICT connecting cables ensuring that communication was there one big
that communication was there one big
that communication was there one big fear was the 2000 year there was a
fear was the 2000 year there was a
fear was the 2000 year there was a change in the format of the date nobody
change in the format of the date nobody
change in the format of the date nobody really knew what was about to happen but
really knew what was about to happen but
really knew what was about to happen but it went well and there was a moment
it went well and there was a moment
it went well and there was a moment where we started having a bit of
where we started having a bit of
where we started having a bit of outsourcing so we decided to commoditize
outsourcing so we decided to commoditize
outsourcing so we decided to commoditize as much as possible many of the IT
as much as possible many of the IT
as much as possible many of the IT services and we all source that to
services and we all source that to
services and we all source that to external suppliers and that was me I was
external suppliers and that was me I was
external suppliers and that was me I was at the University we were studying logic
at the University we were studying logic
at the University we were studying logic at the time going through
at the time going through
at the time going through my PhD and thinking about yeah the
my PhD and thinking about yeah the
my PhD and thinking about yeah the wonderful future the bright future in
wonderful future the bright future in
wonderful future the bright future in front of me
front of me
front of me ten years after internet was becoming
ten years after internet was becoming
ten years after internet was becoming definitely more pervasive what it was
definitely more pervasive what it was
definitely more pervasive what it was kind of everywhere and interestingly
kind of everywhere and interestingly
kind of everywhere and interestingly enough consumers technology was getting
enough consumers technology was getting
enough consumers technology was getting into the space and starting influencing
into the space and starting influencing
into the space and starting influencing the way enterprises worked there was
the way enterprises worked there was
the way enterprises worked there was also the time where cybersecurity was
also the time where cybersecurity was
also the time where cybersecurity was getting a pretty high level in our
getting a pretty high level in our
getting a pretty high level in our attention that was a time where we
attention that was a time where we
attention that was a time where we started thinking about this
started thinking about this
started thinking about this pervasiveness of the connectivity might
pervasiveness of the connectivity might
pervasiveness of the connectivity might generate some issues if anybody tried
generate some issues if anybody tried
generate some issues if anybody tried that and so cybersecurity became
that and so cybersecurity became
that and so cybersecurity became absolutely popular there was also the
absolutely popular there was also the
absolutely popular there was also the time where we started having some
time where we started having some
time where we started having some initial and preliminary sort of
initial and preliminary sort of
initial and preliminary sort of regulation about IT socks4 for came out
regulation about IT socks4 for came out
regulation about IT socks4 for came out and IT was not really itne what was now
and IT was not really itne what was now
and IT was not really itne what was now ICT anymore we thought we were capable
ICT anymore we thought we were capable
ICT anymore we thought we were capable to analyze big processes and that’s the
to analyze big processes and that’s the
to analyze big processes and that’s the moment we were started thinking about
moment we were started thinking about
moment we were started thinking about big earpiece so Oracle si PE all of
big earpiece so Oracle si PE all of
big earpiece so Oracle si PE all of those we thought that managing the
those we thought that managing the
those we thought that managing the information was much more important than
information was much more important than
information was much more important than connecting cables and they drove the
connecting cables and they drove the
connecting cables and they drove the change from IT ICT into I am and guess
change from IT ICT into I am and guess
change from IT ICT into I am and guess what that was me I was sitting in the
what that was me I was sitting in the
what that was me I was sitting in the back room doing some sort of security
back room doing some sort of security
back room doing some sort of security role and yeah no need whatsoever to be
role and yeah no need whatsoever to be
role and yeah no need whatsoever to be reasonably well dressed
reasonably well dressed
reasonably well dressed long beard nobody was looking at my fish
long beard nobody was looking at my fish
long beard nobody was looking at my fish face so yep that’s how it worked ten
face so yep that’s how it worked ten
face so yep that’s how it worked ten years it’s hard to recap everything in
years it’s hard to recap everything in
years it’s hard to recap everything in just one page but I’m I’m just trying
just one page but I’m I’m just trying
just one page but I’m I’m just trying ten years after so now what am i doing
ten years after so now what am i doing
ten years after so now what am i doing yep Internet is everywhere with the pros
yep Internet is everywhere with the pros
yep Internet is everywhere with the pros and the cons that comes with social
and the cons that comes with social
and the cons that comes with social computing so the ability of mix and
computing so the ability of mix and
computing so the ability of mix and match the behavior of the machine with
match the behavior of the machine with
match the behavior of the machine with your social emotion and social behavior
your social emotion and social behavior
your social emotion and social behavior is absolutely there and many systems are
is absolutely there and many systems are
is absolutely there and many systems are out just to do that technology wise
out just to do that technology wise
out just to do that technology wise cloud is there nobody is thinking about
cloud is there nobody is thinking about
cloud is there nobody is thinking about anymore to build physical data center on
anymore to build physical data center on
anymore to build physical data center on premise we just go cloud it costs less
premise we just go cloud it costs less
premise we just go cloud it costs less it works better except it cetera
it works better except it cetera
it works better except it cetera there’s virtualization we’re not
there’s virtualization we’re not
there’s virtualization we’re not building any more physical systems
building any more physical systems
building any more physical systems there’s a huge amount of information
there’s a huge amount of information
there’s a huge amount of information that is out there there’s data is
that is out there there’s data is
that is out there there’s data is probably the resource that we are not
probably the resource that we are not
probably the resource that we are not missing at all there’s good data they
missing at all there’s good data they
missing at all there’s good data they respect data but big data is absolutely
respect data but big data is absolutely
respect data but big data is absolutely their analysis of the data and getting
their analysis of the data and getting
their analysis of the data and getting into the analytics getting insights out
into the analytics getting insights out
into the analytics getting insights out of the data is becoming one of the most
of the data is becoming one of the most
of the data is becoming one of the most essential work that we need to do on a
essential work that we need to do on a
essential work that we need to do on a daily basis there’s this idea of having
daily basis there’s this idea of having
daily basis there’s this idea of having this pervasiveness of the connectivity
this pervasiveness of the connectivity
this pervasiveness of the connectivity so that internet is really everywhere
so that internet is really everywhere
so that internet is really everywhere there’s not a single device anymore that
there’s not a single device anymore that
there’s not a single device anymore that is not talking again my Apple watch has
is not talking again my Apple watch has
is not talking again my Apple watch has one bulb or whatever you guys have in
one bulb or whatever you guys have in
one bulb or whatever you guys have in mind is capable to talk it’s just a
mind is capable to talk it’s just a
mind is capable to talk it’s just a matter of putting that into the network
matter of putting that into the network
matter of putting that into the network getting the information out of it and
getting the information out of it and
getting the information out of it and use them cyber security is paramount now
use them cyber security is paramount now
use them cyber security is paramount now in it’s a different cybersecurity with
in it’s a different cybersecurity with
in it’s a different cybersecurity with respect to the one that we’re used to
respect to the one that we’re used to
respect to the one that we’re used to and just one example to make this even
and just one example to make this even
and just one example to make this even clearer if you think about car stealers
clearer if you think about car stealers
clearer if you think about car stealers the car stealer that we’re not really
the car stealer that we’re not really
the car stealer that we’re not really used to is the one that goes close to
used to is the one that goes close to
used to is the one that goes close to the car break the glass get into the car
the car break the glass get into the car
the car break the glass get into the car and drives the car somewhere else where
and drives the car somewhere else where
and drives the car somewhere else where I know some sort of recycle can happen
I know some sort of recycle can happen
I know some sort of recycle can happen there’s not anymore that particular way
there’s not anymore that particular way
there’s not anymore that particular way so the true car stealer the most
so the true car stealer the most
so the true car stealer the most powerful class car stealer that is in
powerful class car stealer that is in
powerful class car stealer that is in front of us is a is a good hacker is
front of us is a is a good hacker is
front of us is a is a good hacker is someone that can get into the machine
someone that can get into the machine
someone that can get into the machine from remote and get the machine driving
from remote and get the machine driving
from remote and get the machine driving on its own there’s the place where the
on its own there’s the place where the
on its own there’s the place where the machine can be reused in a different
machine can be reused in a different
machine can be reused in a different manner so it’s a different level of
manner so it’s a different level of
manner so it’s a different level of cyber security that there has to be
cyber security that there has to be
cyber security that there has to be taken into consideration and again usual
taken into consideration and again usual
taken into consideration and again usual picture that’s just me so that’s the way
picture that’s just me so that’s the way
picture that’s just me so that’s the way I am that’s why I probably dress the
I am that’s why I probably dress the
I am that’s why I probably dress the same way I guess but anyhow that’s
same way I guess but anyhow that’s
same way I guess but anyhow that’s that’s what I’m doing now now moving
that’s what I’m doing now now moving
that’s what I’m doing now now moving forward there are three components that
forward there are three components that
forward there are three components that I want to drive you through number one
I want to drive you through number one
I want to drive you through number one the data how important that is how
the data how important that is how
the data how important that is how available that is in a few examples
available that is in a few examples
available that is in a few examples about big companies that are making out
about big companies that are making out
about big companies that are making out of the data their business so I think
of the data their business so I think
of the data their business so I think you know them all it’s interesting to
you know them all it’s interesting to
you know them all it’s interesting to see the way the biggest real estate in
see the way the biggest real estate in
see the way the biggest real estate in hotel company is made of they own no
hotel company is made of they own no
hotel company is made of they own no single flat or apartment that the the
single flat or apartment that the the
single flat or apartment that the the rent
rent
rent they’re just managing the information
they’re just managing the information
they’re just managing the information flow they’re just
flow they’re just
flow they’re just putting you in touch with the guy that
putting you in touch with the guy that
putting you in touch with the guy that has that particular Flair that fits your
has that particular Flair that fits your
has that particular Flair that fits your needs in that particular city that
needs in that particular city that
needs in that particular city that particular wick in that company is just
particular wick in that company is just
particular wick in that company is just worth 20 billions 20 billions it’s just
worth 20 billions 20 billions it’s just
worth 20 billions 20 billions it’s just huge it’s the number that we never will
huge it’s the number that we never will
huge it’s the number that we never will never have you done you know in our
never have you done you know in our
never have you done you know in our hands second example is Apple it’s a
hands second example is Apple it’s a
hands second example is Apple it’s a it’s a producer of many different things
it’s a producer of many different things
it’s a producer of many different things and the majority the majority of us
and the majority the majority of us
and the majority the majority of us thinks Apple is making money out of the
thinks Apple is making money out of the
thinks Apple is making money out of the hardware they produced this wonderful
hardware they produced this wonderful
hardware they produced this wonderful phone iPod computer solo than to do this
phone iPod computer solo than to do this
phone iPod computer solo than to do this in China it costs not a lot of money but
in China it costs not a lot of money but
in China it costs not a lot of money but it’s definitely get sold for the value
it’s definitely get sold for the value
it’s definitely get sold for the value that the brand comes with the reality is
that the brand comes with the reality is
that the brand comes with the reality is that the biggest chunk of the money
that the biggest chunk of the money
that the biggest chunk of the money Apple is making comes not from the
Apple is making comes not from the
Apple is making comes not from the hardware that they produce but from the
hardware that they produce but from the
hardware that they produce but from the app from the application economy that
app from the application economy that
app from the application economy that they set up so they created this
they set up so they created this
they set up so they created this ecosystem where applications can be
ecosystem where applications can be
ecosystem where applications can be exposed and bought by by the users and
exposed and bought by by the users and
exposed and bought by by the users and the beauty is that they produce just a
the beauty is that they produce just a
the beauty is that they produce just a few of them the majority of the
few of them the majority of the
few of them the majority of the applications that are out in the Apple
applications that are out in the Apple
applications that are out in the Apple market is just something that someone
market is just something that someone
market is just something that someone else is creating and posting there they
else is creating and posting there they
else is creating and posting there they just put some controls on it to be sure
just put some controls on it to be sure
just put some controls on it to be sure that they are not the buggy but they’re
that they are not the buggy but they’re
that they are not the buggy but they’re not making them all again it’s a 18
not making them all again it’s a 18
not making them all again it’s a 18 billion those two combined do not even
billion those two combined do not even
billion those two combined do not even get to the volume that you burr is
get to the volume that you burr is
get to the volume that you burr is making that’s a 50 plus and again the
making that’s a 50 plus and again the
making that’s a 50 plus and again the beauty is that they own no car there’s
beauty is that they own no car there’s
beauty is that they own no car there’s not a single car that is owned by uber
not a single car that is owned by uber
not a single car that is owned by uber but the what they do is a again putting
but the what they do is a again putting
but the what they do is a again putting you in contact with a guy that can drive
you in contact with a guy that can drive
you in contact with a guy that can drive you to that particular place of a
you to that particular place of a
you to that particular place of a particular time and the user experience
particular time and the user experience
particular time and the user experience is just gorgeous it’s just wonderful so
is just gorgeous it’s just wonderful so
is just gorgeous it’s just wonderful so data is there and data will be there
data is there and data will be there
data is there and data will be there even more and like it or not this is
even more and like it or not this is
even more and like it or not this is what its gonna happen there’s not a
what its gonna happen there’s not a
what its gonna happen there’s not a single device that is not going to be
single device that is not going to be
single device that is not going to be equipped with that ability to speak and
equipped with that ability to speak and
equipped with that ability to speak and talk it goes from meters it goes to
talk it goes from meters it goes to
talk it goes from meters it goes to lightbulbs it goes to yeah industrial
lightbulbs it goes to yeah industrial
lightbulbs it goes to yeah industrial equipment and again pros and cons one
equipment and again pros and cons one
equipment and again pros and cons one easy pros is think about the saving that
easy pros is think about the saving that
easy pros is think about the saving that you can get by having a city where the
you can get by having a city where the
you can get by having a city where the lights pop up when the
lights pop up when the
lights pop up when the in it but I guess there’s nobody that is
in it but I guess there’s nobody that is
in it but I guess there’s nobody that is passing through that particular road
passing through that particular road
passing through that particular road you’re just off that’s a huge saving but
you’re just off that’s a huge saving but
you’re just off that’s a huge saving but at the same time it ensures that if
at the same time it ensures that if
at the same time it ensures that if there’s anybody there lights are on and
there’s anybody there lights are on and
there’s anybody there lights are on and that clearly reduces the possibility of
that clearly reduces the possibility of
that clearly reduces the possibility of a car crash so who’s gonna win in this
a car crash so who’s gonna win in this
a car crash so who’s gonna win in this pace
pace
pace clearly the company that will be able to
clearly the company that will be able to
clearly the company that will be able to master the data to the highest level
master the data to the highest level
master the data to the highest level possible and the company that will be
possible and the company that will be
possible and the company that will be able to get the most effective insights
able to get the most effective insights
able to get the most effective insights out of the data so one example a couple
out of the data so one example a couple
out of the data so one example a couple examples that come from the company that
examples that come from the company that
examples that come from the company that I work for think about willing be
I work for think about willing be
I work for think about willing be willing to produce power for a community
willing to produce power for a community
willing to produce power for a community for a city for whomever is gonna consume
for a city for whomever is gonna consume
for a city for whomever is gonna consume it and think about the feather you might
it and think about the feather you might
it and think about the feather you might be mixing and matching different sources
be mixing and matching different sources
be mixing and matching different sources of power so electricity can come from
of power so electricity can come from
of power so electricity can come from the Sun can come from the wind can come
the Sun can come from the wind can come
the Sun can come from the wind can come from the seat I can come from many
from the seat I can come from many
from the seat I can come from many different sources and think about having
different sources and think about having
different sources and think about having the possibility to not only know how the
the possibility to not only know how the
the possibility to not only know how the pitman work but also know how the
pitman work but also know how the
pitman work but also know how the weather is going to be in the I don’t
weather is going to be in the I don’t
weather is going to be in the I don’t know coming to of hours and based on
know coming to of hours and based on
know coming to of hours and based on that you know that there’s gonna wind
that you know that there’s gonna wind
that you know that there’s gonna wind there’s gonna be wind and the Sun is not
there’s gonna be wind and the Sun is not
there’s gonna be wind and the Sun is not going to be there there is going to be
going to be there there is going to be
going to be there there is going to be cloud and use that information to tune
cloud and use that information to tune
cloud and use that information to tune which are the machines that you’re going
which are the machines that you’re going
which are the machines that you’re going to use so that you will produce in the
to use so that you will produce in the
to use so that you will produce in the right amount of energy that is needed
right amount of energy that is needed
right amount of energy that is needed you’re not produce anything more you
you’re not produce anything more you
you’re not produce anything more you will not have to stalk you have
will not have to stalk you have
will not have to stalk you have inventory of electricity and you’ll
inventory of electricity and you’ll
inventory of electricity and you’ll pollute less I think it’s probably it’s
pollute less I think it’s probably it’s
pollute less I think it’s probably it’s a good example of what information can
a good example of what information can
a good example of what information can be used for example number two this is a
be used for example number two this is a
be used for example number two this is a this is an aircraft engine so again we
this is an aircraft engine so again we
this is an aircraft engine so again we produce but the example actually applies
produce but the example actually applies
produce but the example actually applies to your car or to your motorbike or your
to your car or to your motorbike or your
to your car or to your motorbike or your cycle whatever and at least it
cycle whatever and at least it
cycle whatever and at least it definitely applies to me if my car is
definitely applies to me if my car is
definitely applies to me if my car is able to tell me yeah you better go to
able to tell me yeah you better go to
able to tell me yeah you better go to the to the center to the repair center
the to the center to the repair center
the to the center to the repair center because there’s something that needs to
because there’s something that needs to
because there’s something that needs to happen needs to be done on the on the
happen needs to be done on the on the
happen needs to be done on the on the engine or you better go there because
engine or you better go there because
engine or you better go there because the oil is dirty you need to change it
the oil is dirty you need to change it
the oil is dirty you need to change it or maybe the pressure of a flat of a
or maybe the pressure of a flat of a
or maybe the pressure of a flat of a yeah of a
yeah of a
yeah of a year is reducing so I don’t know if it
year is reducing so I don’t know if it
year is reducing so I don’t know if it is flat or not but it can be flat in
is flat or not but it can be flat in
is flat or not but it can be flat in white so you better go again knowing
white so you better go again knowing
white so you better go again knowing what is the remaining life of each each
what is the remaining life of each each
what is the remaining life of each each and every individual part of your engine
and every individual part of your engine
and every individual part of your engine drives a better maintenance cycle and
drives a better maintenance cycle and
drives a better maintenance cycle and clearly reduce the costs out of it
clearly reduce the costs out of it
clearly reduce the costs out of it in the efficiency gravel now all of this
in the efficiency gravel now all of this
in the efficiency gravel now all of this combined just for one just one second
combined just for one just one second
combined just for one just one second would you bet on the feather this gives
would you bet on the feather this gives
would you bet on the feather this gives you one percent productivity increase
you one percent productivity increase
you one percent productivity increase whatever the productivity is might be
whatever the productivity is might be
whatever the productivity is might be cast out might be efficiency gain might
cast out might be efficiency gain might
cast out might be efficiency gain might be less pollution might be whatever you
be less pollution might be whatever you
be less pollution might be whatever you want so 1% I think everybody would bet
want so 1% I think everybody would bet
want so 1% I think everybody would bet on it it’s not it’s not a huge
on it it’s not it’s not a huge
on it it’s not it’s not a huge percentage you probably can get there
percentage you probably can get there
percentage you probably can get there but if you use that one percent on the
but if you use that one percent on the
but if you use that one percent on the volumes that we are talking about and I
volumes that we are talking about and I
volumes that we are talking about and I just focus on one the the airline fuel
just focus on one the the airline fuel
just focus on one the the airline fuel consumption that 1% is a huge amount so
consumption that 1% is a huge amount so
consumption that 1% is a huge amount so airline fuel consumption 1% less that’s
airline fuel consumption 1% less that’s
airline fuel consumption 1% less that’s what they starts into it’s a thirty
what they starts into it’s a thirty
what they starts into it’s a thirty billion saving on a nearly basis so
billion saving on a nearly basis so
billion saving on a nearly basis so again small isn’t something becomes a
again small isn’t something becomes a
again small isn’t something becomes a huge cost our efficiency gain it clearly
huge cost our efficiency gain it clearly
huge cost our efficiency gain it clearly puts you in a much better shape and much
puts you in a much better shape and much
puts you in a much better shape and much better position with respect to the
better position with respect to the
better position with respect to the competition so item number one use of
competition so item number one use of
competition so item number one use of the data
the data
the data I don’t number two machines machines
I don’t number two machines machines
I don’t number two machines machines assets so whatever we have in our hands
assets so whatever we have in our hands
assets so whatever we have in our hands so few prediction here Gartner is a is a
so few prediction here Gartner is a is a
so few prediction here Gartner is a is a consultancy firm that is fairly famous
consultancy firm that is fairly famous
consultancy firm that is fairly famous in the IT space and they have this idea
in the IT space and they have this idea
in the IT space and they have this idea of making forecasts and there’s two
of making forecasts and there’s two
of making forecasts and there’s two forecast on this page one is for
forecast on this page one is for
forecast on this page one is for tomorrow and the other one is for the
tomorrow and the other one is for the
tomorrow and the other one is for the day after tomorrow so extremely close to
day after tomorrow so extremely close to
day after tomorrow so extremely close to us in what you see in the two is that
us in what you see in the two is that
us in what you see in the two is that there’s a there’s a percentage that is
there’s a there’s a percentage that is
there’s a there’s a percentage that is changing in between the ratio between
changing in between the ratio between
changing in between the ratio between human beings and machines and
human beings and machines and
human beings and machines and particularly what you what you what you
particularly what you what you what you
particularly what you what you what you see happening tomorrow 2018 that the
see happening tomorrow 2018 that the
see happening tomorrow 2018 that the percentage of human beings that are
percentage of human beings that are
percentage of human beings that are going to be managing human beings is
going to be managing human beings is
going to be managing human beings is going to reduce and you’ll see more and
going to reduce and you’ll see more and
going to reduce and you’ll see more and more human beings whose boss’s image
more human beings whose boss’s image
more human beings whose boss’s image or a process interesting interesting the
or a process interesting interesting the
or a process interesting interesting the fact that information that can be used
fact that information that can be used
fact that information that can be used to drive efficiency in the human beings
to drive efficiency in the human beings
to drive efficiency in the human beings goes through those equipment that can
goes through those equipment that can
goes through those equipment that can talk
talk
talk Fitbit as one but I mean healthy devices
Fitbit as one but I mean healthy devices
Fitbit as one but I mean healthy devices health devices that can be where is
health devices that can be where is
health devices that can be where is actually something that will be more and
actually something that will be more and
actually something that will be more and more popular the one that I want to
more popular the one that I want to
more popular the one that I want to focus on is in 2020
focus on is in 2020
focus on is in 2020 what Gartner says is that the majority
what Gartner says is that the majority
what Gartner says is that the majority of the information that is going to be
of the information that is going to be
of the information that is going to be in our hands is going to be used to in a
in our hands is going to be used to in a
in our hands is going to be used to in a way change or reduce or destroy
way change or reduce or destroy
way change or reduce or destroy processing products that have been built
processing products that have been built
processing products that have been built in the last ten years so in two years
in the last ten years so in two years
in the last ten years so in two years from now we’ll use a majority of the
from now we’ll use a majority of the
from now we’ll use a majority of the information to change the way we have
information to change the way we have
information to change the way we have been working the last 10 years that’s
been working the last 10 years that’s
been working the last 10 years that’s massive change that’s a massive change
massive change that’s a massive change
massive change that’s a massive change that means that the cycle time for
that means that the cycle time for
that means that the cycle time for products and process gets shorter and
products and process gets shorter and
products and process gets shorter and shorter and again those those changes
shorter and again those those changes
shorter and again those those changes would definitely change the way big
would definitely change the way big
would definitely change the way big enterprises work it is not anything that
enterprises work it is not anything that
enterprises work it is not anything that is just in gardeners mind and being
is just in gardeners mind and being
is just in gardeners mind and being where we are I thought I had to come
where we are I thought I had to come
where we are I thought I had to come with some sort of academic reference
with some sort of academic reference
with some sort of academic reference that you guys can go through so 2013
that you guys can go through so 2013
that you guys can go through so 2013 it’s well-established work it goes back
it’s well-established work it goes back
it’s well-established work it goes back three years and this is in essence well
three years and this is in essence well
three years and this is in essence well the article says mm-hmm
the article says mm-hmm
the article says mm-hmm it is based on the US market but it’s
it is based on the US market but it’s
it is based on the US market but it’s probably applicable everywhere there’s a
probably applicable everywhere there’s a
probably applicable everywhere there’s a decent chunk there’s a 47% of companies
decent chunk there’s a 47% of companies
decent chunk there’s a 47% of companies within the u.s. that sees high
within the u.s. that sees high
within the u.s. that sees high probability in automation in particular
probability in automation in particular
probability in automation in particular working spaces and segments and so the
working spaces and segments and so the
working spaces and segments and so the way you have to read it left to right I
way you have to read it left to right I
way you have to read it left to right I well low probability up too high in the
well low probability up too high in the
well low probability up too high in the band the color bands actually tells you
band the color bands actually tells you
band the color bands actually tells you which are the segments of the activity
which are the segments of the activity
which are the segments of the activity industrial activity that is becoming
industrial activity that is becoming
industrial activity that is becoming more and more that can become more and
more and more that can become more and
more and more that can become more and more automated and you see office and
more automated and you see office and
more automated and you see office and administration
administration
administration finances there but also services so the
finances there but also services so the
finances there but also services so the way you’ll be able to keep your
way you’ll be able to keep your
way you’ll be able to keep your equipment running is going to be
equipment running is going to be
equipment running is going to be automatic smore and more and sales
automatic smore and more and sales
automatic smore and more and sales commercials I mean having information
commercials I mean having information
commercials I mean having information about what customers want is clearly
about what customers want is clearly
about what customers want is clearly going to drive the way that particular
going to drive the way that particular
going to drive the way that particular guys will work so there’s a high
guys will work so there’s a high
guys will work so there’s a high probability that this happens being
probability that this happens being
probability that this happens being particularly Eggman’s there’s an impact
particularly Eggman’s there’s an impact
particularly Eggman’s there’s an impact on jobs there’s an impact on jobs and
on jobs there’s an impact on jobs and
on jobs there’s an impact on jobs and what we see happening what we’ll see
what we see happening what we’ll see
what we see happening what we’ll see happening in the in the coming future is
happening in the in the coming future is
happening in the in the coming future is that the machines will drive behavior of
that the machines will drive behavior of
that the machines will drive behavior of the human beings more and more and the
the human beings more and more and the
the human beings more and more and the machine will tell if one activity has to
machine will tell if one activity has to
machine will tell if one activity has to be performing one way or in another and
be performing one way or in another and
be performing one way or in another and more and more the concept of the
more and more the concept of the
more and more the concept of the knowledge worker is changing and the
knowledge worker is changing and the
knowledge worker is changing and the beauty will have more time and we’ll use
beauty will have more time and we’ll use
beauty will have more time and we’ll use that time in added value activity so
that time in added value activity so
that time in added value activity so everything that is a routine airy kind
everything that is a routine airy kind
everything that is a routine airy kind of activity is going to go this
of activity is going to go this
of activity is going to go this particular way human beings are going to
particular way human beings are going to
particular way human beings are going to be used for much more added value
be used for much more added value
be used for much more added value contribution Third Point so item number
contribution Third Point so item number
contribution Third Point so item number one data item number two assets and
one data item number two assets and
one data item number two assets and machines
machines
machines I don’t number three is people so what
I don’t number three is people so what
I don’t number three is people so what was he happening more and more is that
was he happening more and more is that
was he happening more and more is that this idea of the consumer technology
this idea of the consumer technology
this idea of the consumer technology getting into the enterprise is becoming
getting into the enterprise is becoming
getting into the enterprise is becoming absolutely popular there’s nobody that
absolutely popular there’s nobody that
absolutely popular there’s nobody that wants to work in a company that is
wants to work in a company that is
wants to work in a company that is working different with respect to the
working different with respect to the
working different with respect to the consumer stuff that they use at home so
consumer stuff that they use at home so
consumer stuff that they use at home so being the social computing being this
being the social computing being this
being the social computing being this wonderful computers being this immediate
wonderful computers being this immediate
wonderful computers being this immediate answer to the request we need to have a
answer to the request we need to have a
answer to the request we need to have a company that adapts to what the consumer
company that adapts to what the consumer
company that adapts to what the consumer technology looks like so this digital
technology looks like so this digital
technology looks like so this digital DNA is getting into the big enterprises
DNA is getting into the big enterprises
DNA is getting into the big enterprises and actually or is is forcing a change
and actually or is is forcing a change
and actually or is is forcing a change there how does that reflect onto the IT
there how does that reflect onto the IT
there how does that reflect onto the IT well IT is probably within a company
well IT is probably within a company
well IT is probably within a company it’s a best position function to drive
it’s a best position function to drive
it’s a best position function to drive this change because we know machines we
this change because we know machines we
this change because we know machines we know technology in that’s my view IT
know technology in that’s my view IT
know technology in that’s my view IT guys are usually well equipped from a
guys are usually well equipped from a
guys are usually well equipped from a brain standpoint so the point is we need
brain standpoint so the point is we need
brain standpoint so the point is we need to be pervasive we need to know we need
to be pervasive we need to know we need
to be pervasive we need to know we need to have intimacy with our with our with
to have intimacy with our with our with
to have intimacy with our with our with our customers and using that we can
our customers and using that we can
our customers and using that we can actually drive a proud
actually drive a proud
actually drive a proud strategy more than we did in the past so
strategy more than we did in the past so
strategy more than we did in the past so what is what is the goal for a cio what
what is what is the goal for a cio what
what is what is the goal for a cio what is the goal for a CEO in 2017 we talk
is the goal for a CEO in 2017 we talk
is the goal for a CEO in 2017 we talk about data so we need to have in Nice
about data so we need to have in Nice
about data so we need to have in Nice and work in ecosystem to grab
and work in ecosystem to grab
and work in ecosystem to grab information whatever the information
information whatever the information
information whatever the information comes from and that’s the Internet of
comes from and that’s the Internet of
comes from and that’s the Internet of Things platform you can pick I mean
Things platform you can pick I mean
Things platform you can pick I mean there are many out there we produce one
there are many out there we produce one
there are many out there we produce one but there’s many out we need to collect
but there’s many out we need to collect
but there’s many out we need to collect the information we need to have the
the information we need to have the
the information we need to have the information store effectively in what we
information store effectively in what we
information store effectively in what we call data lay cloud there many mantra
call data lay cloud there many mantra
call data lay cloud there many mantra words that you can use but information
words that you can use but information
words that you can use but information has to be stored in a useable manner has
has to be stored in a useable manner has
has to be stored in a useable manner has to be achievable and understandable
to be achievable and understandable
to be achievable and understandable number three you need to start
number three you need to start
number three you need to start developing analytics and that is going
developing analytics and that is going
developing analytics and that is going to give you the right insights about how
to give you the right insights about how
to give you the right insights about how to use effectively that particular data
to use effectively that particular data
to use effectively that particular data number four I would have made as much as
number four I would have made as much as
number four I would have made as much as possible now with this for recipe well
possible now with this for recipe well
possible now with this for recipe well with this recipe metaphor items what is
with this recipe metaphor items what is
with this recipe metaphor items what is coming out is a new professional role
coming out is a new professional role
coming out is a new professional role that is what it’s called
that is what it’s called
that is what it’s called chief automation officer that is
chief automation officer that is
chief automation officer that is probably what we need to be effective in
probably what we need to be effective in
probably what we need to be effective in using the data now back in back to the
using the data now back in back to the
using the data now back in back to the original question so having said that
original question so having said that
original question so having said that there’s a there’s probably the fourth
there’s a there’s probably the fourth
there’s a there’s probably the fourth industrial revolution that is happening
industrial revolution that is happening
industrial revolution that is happening there is going to be based on data and
there is going to be based on data and
there is going to be based on data and data use is going to be based on people
data use is going to be based on people
data use is going to be based on people it’s going to be based on asset
it’s going to be based on asset
it’s going to be based on asset automation is going to actually mix and
automation is going to actually mix and
automation is going to actually mix and match all of those the goal of a CIO in
match all of those the goal of a CIO in
match all of those the goal of a CIO in 2017 is actually vanished
2017 is actually vanished
2017 is actually vanished thank you
”
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