[Music]
[Applause]
and yesterday in two minutes remind me of
send me the answers ok every day
we interview in our assistant
viro siri by google alexa vattelapesca
any instrument we interview for it
ask him for information to ask for one
answer or them more a way a bit
more subtle we study ours
behaviors and our actions i
our tastes to slowly start to
offer them some content rather
that of the films of music and therefore they
they start to experience ours
way to interact with these tools
and they slowly begin to suggest us
let’s do a little bit
of history by not opening so far
this is to say that once siri alexa
it was called like a brand could be
the pizia pizza was an oracle was a
oracle where the king went before
they prostrated themselves and asked for information
on their future on their past
rather than the present and also the
pizia gave indications of the
answers read ip data interpreted e
he gave visions of the future therefore less
badly artificial intelligence was already there
a concert also in ancient Greece
sin existed however that sometimes the
typical model of the era the pizia could
to make big mistakes rather
that other models of great oracles e
therefore the end is by accident a right
tragic of oedipal in this interesting
because anyway, even today, man is
poses in the same way before these
instruments
a bit like they were some oracles
in the meantime they are asking too much about
processes that are behind the answers
that we receive
but we look out as if they were new ones
oracles are no longer called the pita but
they are called machine learning e
artificial intelligence of learning
very beautiful words very courtly that
they seem fascinating but at the same time
time could also get one
just distance be almost wanted for
keep a distance between specialists
the nerds an elite of people he knows
really what’s inside
normal people who use it and
thanks siri so much has come
answers and answers to the question that
I wanted to do want because I wanted to
know some features of the
stalls
what happens often born and is
just start by asking a question at
public to hire him more
here I did not do it because the output
having intelligence tools
artificial knowing the presence of the
people today I could know any
what about you
jokes aside this is
interesting for this is something that
you could do with the tools
just with more data then know of the
details that are currently perhaps we are
a stupid question with answers
so stupid, however, can bring us useful
during the presentation
this is to say that today we are
used to receiving answers there
they can amaze you that they almost have gods
insights on how we are made for that
they collect data from these
platform any way and there
let’s question perhaps little then I would like
tell you a little about the history of the group
I work with thirty guys from
modena that we are trying to with
make artificial intelligence one
something tangible to people had
identified two aspects that are
artificial intelligence
it would be good to keep in mind
in its development
the first aspect is inclusiveness because
artificial intelligence is nothing else
that a black box
enter data are processed
come out more advanced data with some
much more accurate answers than
what we can do on it
some types of applications, however, few
question what happens inside is not
really a little mary poppins monde
he extracts all the elements of his
bag I as a child I remember I stayed
fascinated and also the child of the film goes
to see what’s inside goes to see
what is the secret
here today we think it should be
intelligence is more inclusive
instead, the domain of
few experts of a few technicians and the
people always put themselves a bit like one
sort of oracle
the second aspect is sensitivity
because it is necessary to make
sensitive in the sense of normal people
all that the sensitivity of the
mathematical mathematicians develop
mathematics between data clouds do
predictive algorithms models and so on
here are all these concepts to be rendered
tangible and therefore we must find a
way to hire people because
can understand how this happens
process
now a couple of minutes of math
just to keep on attention we do
pretend to have a trial is ours
goal to achieve a result
it could also be ours
decision in our daily life
no we have a mental process we have to
taking a decision
we have an industrial process we have to
maximize yield
we must reduce waste to control
energy and it goes plus
usually our brain like
it works our brain focuses on
a main or a few correlation
main correlations call
strong correlations tend to see
that also thought how many times I have
take choices based on some
strong correlations but the long le
strong correlations become a given
self-referential
it is a self-referential data that brings us
information and not the knowledge that
I think a given is a big difference
self-referential does not allow me to
to be able to make predictive analyzes of
make decisions but I rely on it
those many times our choices that if
non-working and personal are based
on these dominant factors today with
all the explosiveness of data that there are
and with all the attention we can
lend to these new processes yes
can collect so much data that
gravitate around the processes that there
lead to making a decision or that
we have to check
here is our goal and be made of
try to make the data from
self-referential is a relational data is
a play on words but it means to pass
you have to have the information
knowledge because only in the moment in
which I can relate data o
knowledge
this theme puts many other aspects
important that he is never going to treat them but
it will be interesting to investigate and
deepen in the future, that is, quality
data or who gives data and or who
it’s the data, however, this is another theme
us to try to move from this
philosophy that we have told at the top
level but do not make it concrete and
while in front of people to their own
variables that characterize theirs
process
we have developed a tool that
we called data framework like
it works on every line every column
represents a variable a variable
which clearly and represents the
phenomenology of the process we want
study on the axis of y leave the former
the same variables are reported
we had the idea of graphicar is in
red direct correlations one
variable increases to the other increases in
the correlations are linear in blue
inverse one variable increases the other
it always decreases linearly
Here are the graphics you
strong correlations those that good or
bad our mind can see in
this particular process in this
case is an industrial process
it’s the data but it could also be a
transactional process or a
process that bring us ours
choice of our life or that
which causes us to question the
our virtual assistants
then thanks a math that
we develop we have extracted them
weak correlations those that ours
brain is struggling to see a
focus more then these squares
smaller ones represent of the
less strong correlations that really
our brain apparently seems
do not consider it in yellow
We do not toe graphic decorations
linear and that even more complex from
modeling a variable increases e
the other one is of s here this is this
data frame when we put it
in front of a person who governs a
the process that reopens the decision is
very interesting because it’s time
in which there is a contact between the world
scientific between sensitivity
maths
and the visual sensitivity of the senses of the
people once the legend has been explained
of this picture anyone can
interpret and manage to see his
variables his system and himself
is engaged is included in this
mathematical process , complexity
it remains clearly behind the complexity
it is not his domain but complexity
find a point of contact for
engage man in this and development
that will be more and more disruptive then
that mary bag is broken
poppins and are revealed a bit as
are the correlations that in the stock exchange
mary poppins create the chandelier
rather than the mirror once
we put this graphic in front of one
person who governed a said process
It seems to me to look at a
material look at it first with the eye and
then go to the percent microscope
in the structure of matter in this
case enters the data structure
I give you an example that is very much
nice but he tells it in a suitable way
a ted is now in a school and they were
telling first what we develop what
we do then but to no avail of
to tell an experience of my life
personal but that it was also tangible to
their
ok guys let’s pretend that in this
class at this time pass a
boy or girl with classics
paths of beauty we all look
we all turn around and even if they pass by
of hours
if our brains want
report to our complaints
we rebuild well because it is based
on those classic dominating canons of the
beauty but honestly, I do not
would say nothing more then then
just in case I’ll see a girl who
no note I was struck by them
nights later I do not think about anything else I write
love letters listening to the poems
poignant listening to depressing music and
I think she is in love but lost, no one
he noticed her and she did not wear those
strong correlations but his charm on
its charm these weak correlations
for my brain for my way of
to be
I have not totally hit and me
they describe it much better and me
they represent as a whole respect
to you because his way of walking
it’s true to talk about putting the place in it
hair system yes the glasses have me
hit it
here are all these weak correlations
they are a wealth of information that
besides describing well but if it came
toe graphics with a set of dates put
in front of the person who must decide
how to manage fabio would clear everything
now it is much clearer than I would be to fabio
a peculiarity so you will have mine
characteristics and therefore I could
make good wishes you predicted on mine
behaviors understand with which people
will be able to get along less then here is the
speech has degenerated into the school though
remaining at the ice shy and here it is
charm this weak formation has
these processes affected
today there is to put people included
in the development of intelligence
artificial rather than this
analysis of large data that not always
artificial intelligence
surely it is very nice to say
artificial intelligence but they are many
effective methods and today we apply it
in marketing applied in trading
rather than in industrial processes
but sometimes I think
how interesting it would be if applied
also in politics
if a government that makes a decision or
implement a political plan before it
not just the strong correlations of one
determined choice but also all
weak correlations could be
also put citizens in the
conditions to better understand one
decision to be made
politics would return to being
sensitive would also be back
inclusive for many people who have a
fresh approach to the mathematician
here is all this development is enough
still novice but it’s all there
life that dreams of going on stage with
more floyd
this year has done almost more for me and
we are a beginner in this
sector and therefore why bring tim floyd
interest for me a strong correlation
and weak and represent a bit of a group
musical that in a London of the years
seventy underground brought a new one
sound a sound prog rock prog have
started to merge the tools
classics with electronic instruments
they work on synthesizer
they experimented with new sounds and the
experimentation at the beginning was a bit
dystonic and at the time there was syd barrett
and made the first to an incredible e
experimented they experimented until
they have not found a harmony that
could include the electron appearance
with prog rock with classic rock up
to get to create a dark side
of the moon is a masterpiece as well as
musical also of mathematics because they are
24 overlapping tracks and many aspects
mathematicians in the management of this
new concept album
here I hope that even today there are
many syd barrett that experiment
of artificial intelligence with
the goal of getting to write a
new concept album that includes man
in the development of this new one
technology that will surely be more
disruptive rock prog and thank you
[Applause]
[Applause]
and yesterday in two minutes remind me of
send me the answers ok every day
we interview in our assistant
viro siri by google alexa vattelapesca
any instrument we interview for it
ask him for information to ask for one
answer or them more a way a bit
more subtle we study ours
behaviors and our actions i
our tastes to slowly start to
offer them some content rather
that of the films of music and therefore they
they start to experience ours
way to interact with these tools
and they slowly begin to suggest us
let’s do a little bit
of history by not opening so far
this is to say that once siri alexa
it was called like a brand could be
the pizia pizza was an oracle was a
oracle where the king went before
they prostrated themselves and asked for information
on their future on their past
rather than the present and also the
pizia gave indications of the
answers read ip data interpreted e
he gave visions of the future therefore less
badly artificial intelligence was already there
a concert also in ancient Greece
sin existed however that sometimes the
typical model of the era the pizia could
to make big mistakes rather
that other models of great oracles e
therefore the end is by accident a right
tragic of oedipal in this interesting
because anyway, even today, man is
poses in the same way before these
instruments
a bit like they were some oracles
in the meantime they are asking too much about
processes that are behind the answers
that we receive
but we look out as if they were new ones
oracles are no longer called the pita but
they are called machine learning e
artificial intelligence of learning
very beautiful words very courtly that
they seem fascinating but at the same time
time could also get one
just distance be almost wanted for
keep a distance between specialists
the nerds an elite of people he knows
really what’s inside
normal people who use it and
thanks siri so much has come
answers and answers to the question that
I wanted to do want because I wanted to
know some features of the
stalls
what happens often born and is
just start by asking a question at
public to hire him more
here I did not do it because the output
having intelligence tools
artificial knowing the presence of the
people today I could know any
what about you
jokes aside this is
interesting for this is something that
you could do with the tools
just with more data then know of the
details that are currently perhaps we are
a stupid question with answers
so stupid, however, can bring us useful
during the presentation
this is to say that today we are
used to receiving answers there
they can amaze you that they almost have gods
insights on how we are made for that
they collect data from these
platform any way and there
let’s question perhaps little then I would like
tell you a little about the history of the group
I work with thirty guys from
modena that we are trying to with
make artificial intelligence one
something tangible to people had
identified two aspects that are
artificial intelligence
it would be good to keep in mind
in its development
the first aspect is inclusiveness because
artificial intelligence is nothing else
that a black box
enter data are processed
come out more advanced data with some
much more accurate answers than
what we can do on it
some types of applications, however, few
question what happens inside is not
really a little mary poppins monde
he extracts all the elements of his
bag I as a child I remember I stayed
fascinated and also the child of the film goes
to see what’s inside goes to see
what is the secret
here today we think it should be
intelligence is more inclusive
instead, the domain of
few experts of a few technicians and the
people always put themselves a bit like one
sort of oracle
the second aspect is sensitivity
because it is necessary to make
sensitive in the sense of normal people
all that the sensitivity of the
mathematical mathematicians develop
mathematics between data clouds do
predictive algorithms models and so on
here are all these concepts to be rendered
tangible and therefore we must find a
way to hire people because
can understand how this happens
process
now a couple of minutes of math
just to keep on attention we do
pretend to have a trial is ours
goal to achieve a result
it could also be ours
decision in our daily life
no we have a mental process we have to
taking a decision
we have an industrial process we have to
maximize yield
we must reduce waste to control
energy and it goes plus
usually our brain like
it works our brain focuses on
a main or a few correlation
main correlations call
strong correlations tend to see
that also thought how many times I have
take choices based on some
strong correlations but the long le
strong correlations become a given
self-referential
it is a self-referential data that brings us
information and not the knowledge that
I think a given is a big difference
self-referential does not allow me to
to be able to make predictive analyzes of
make decisions but I rely on it
those many times our choices that if
non-working and personal are based
on these dominant factors today with
all the explosiveness of data that there are
and with all the attention we can
lend to these new processes yes
can collect so much data that
gravitate around the processes that there
lead to making a decision or that
we have to check
here is our goal and be made of
try to make the data from
self-referential is a relational data is
a play on words but it means to pass
you have to have the information
knowledge because only in the moment in
which I can relate data o
knowledge
this theme puts many other aspects
important that he is never going to treat them but
it will be interesting to investigate and
deepen in the future, that is, quality
data or who gives data and or who
it’s the data, however, this is another theme
us to try to move from this
philosophy that we have told at the top
level but do not make it concrete and
while in front of people to their own
variables that characterize theirs
process
we have developed a tool that
we called data framework like
it works on every line every column
represents a variable a variable
which clearly and represents the
phenomenology of the process we want
study on the axis of y leave the former
the same variables are reported
we had the idea of graphicar is in
red direct correlations one
variable increases to the other increases in
the correlations are linear in blue
inverse one variable increases the other
it always decreases linearly
Here are the graphics you
strong correlations those that good or
bad our mind can see in
this particular process in this
case is an industrial process
it’s the data but it could also be a
transactional process or a
process that bring us ours
choice of our life or that
which causes us to question the
our virtual assistants
then thanks a math that
we develop we have extracted them
weak correlations those that ours
brain is struggling to see a
focus more then these squares
smaller ones represent of the
less strong correlations that really
our brain apparently seems
do not consider it in yellow
We do not toe graphic decorations
linear and that even more complex from
modeling a variable increases e
the other one is of s here this is this
data frame when we put it
in front of a person who governs a
the process that reopens the decision is
very interesting because it’s time
in which there is a contact between the world
scientific between sensitivity
maths
and the visual sensitivity of the senses of the
people once the legend has been explained
of this picture anyone can
interpret and manage to see his
variables his system and himself
is engaged is included in this
mathematical process , complexity
it remains clearly behind the complexity
it is not his domain but complexity
find a point of contact for
engage man in this and development
that will be more and more disruptive then
that mary bag is broken
poppins and are revealed a bit as
are the correlations that in the stock exchange
mary poppins create the chandelier
rather than the mirror once
we put this graphic in front of one
person who governed a said process
It seems to me to look at a
material look at it first with the eye and
then go to the percent microscope
in the structure of matter in this
case enters the data structure
I give you an example that is very much
nice but he tells it in a suitable way
a ted is now in a school and they were
telling first what we develop what
we do then but to no avail of
to tell an experience of my life
personal but that it was also tangible to
their
ok guys let’s pretend that in this
class at this time pass a
boy or girl with classics
paths of beauty we all look
we all turn around and even if they pass by
of hours
if our brains want
report to our complaints
we rebuild well because it is based
on those classic dominating canons of the
beauty but honestly, I do not
would say nothing more then then
just in case I’ll see a girl who
no note I was struck by them
nights later I do not think about anything else I write
love letters listening to the poems
poignant listening to depressing music and
I think she is in love but lost, no one
he noticed her and she did not wear those
strong correlations but his charm on
its charm these weak correlations
for my brain for my way of
to be
I have not totally hit and me
they describe it much better and me
they represent as a whole respect
to you because his way of walking
it’s true to talk about putting the place in it
hair system yes the glasses have me
hit it
here are all these weak correlations
they are a wealth of information that
besides describing well but if it came
toe graphics with a set of dates put
in front of the person who must decide
how to manage fabio would clear everything
now it is much clearer than I would be to fabio
a peculiarity so you will have mine
characteristics and therefore I could
make good wishes you predicted on mine
behaviors understand with which people
will be able to get along less then here is the
speech has degenerated into the school though
remaining at the ice shy and here it is
charm this weak formation has
these processes affected
today there is to put people included
in the development of intelligence
artificial rather than this
analysis of large data that not always
artificial intelligence
surely it is very nice to say
artificial intelligence but they are many
effective methods and today we apply it
in marketing applied in trading
rather than in industrial processes
but sometimes I think
how interesting it would be if applied
also in politics
if a government that makes a decision or
implement a political plan before it
not just the strong correlations of one
determined choice but also all
weak correlations could be
also put citizens in the
conditions to better understand one
decision to be made
politics would return to being
sensitive would also be back
inclusive for many people who have a
fresh approach to the mathematician
here is all this development is enough
still novice but it’s all there
life that dreams of going on stage with
more floyd
this year has done almost more for me and
we are a beginner in this
sector and therefore why bring tim floyd
interest for me a strong correlation
and weak and represent a bit of a group
musical that in a London of the years
seventy underground brought a new one
sound a sound prog rock prog have
started to merge the tools
classics with electronic instruments
they work on synthesizer
they experimented with new sounds and the
experimentation at the beginning was a bit
dystonic and at the time there was syd barrett
and made the first to an incredible e
experimented they experimented until
they have not found a harmony that
could include the electron appearance
with prog rock with classic rock up
to get to create a dark side
of the moon is a masterpiece as well as
musical also of mathematics because they are
24 overlapping tracks and many aspects
mathematicians in the management of this
new concept album
here I hope that even today there are
many syd barrett that experiment
of artificial intelligence with
the goal of getting to write a
new concept album that includes man
in the development of this new one
technology that will surely be more
disruptive rock prog and thank you
[Applause]
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