►
Description
In this video, Neeraj Athalye, Vice president, SAP talks about SAP Leonardo as the System Of Innovation and launch of Cloud version of S/4 HANA.
A
Very
good
afternoon
to
all
of
you,
it's
been
a
long
day.
I'm
sure
you've
been
hearing
a
lot
of
stuff
since
morning,
so
I'll
be
focusing
on
Leonardo,
which
is
one
of
the
portfolios.
I
have
a
chance
to
lead
for
India
apart
from
s4
Hana,
as
you
know,
we'll
be
launching
the
cloud
version
of
s4
Hannah.
Also
shortly
on
ninth
of
me,
as
you
would
have
heard
in
the
morning
keynote,
maybe
just
for
a
quick
wake
up
call.
Can
we
play
video
one.
A
A
What
we
are
trying
to
do
with
Leonardo
is
make
sure
that
the
digital
core,
which
is
your
currently
your
ECC
and
shortly,
will
be
our
s4
Hana,
is
surrounded
by
a
lot
of
innovation.
Innovation
could
be
on
the
people
side
of
life,
so
connected
people
could
be
on
the
asset
side
of
life
through
connected
assets
could
be
on
your
land
and
machinery.
Side
through
connected
infrastructure
could
be
to
your
vehicles
and
your
movable
assets
through
vehicle
insights.
You
know,
so
what
we've
also
done
in
addition
to
the
IOT
layer
is
added.
A
A
We
also
have
added
big
data
and
analytic
services
also
now
the
reason
why
we
bundled
all
these
things
together
was
obviously
for
three.
Four
years
back.
When
we
started
with
the
IOT
journey,
we
realized
very
quickly
that
you
know
an
IOT
project
very
smoothly
moves
into
analytics,
and
then
big
data
comes
up
as
a
requirement
and
anyways
artificial
intelligence
pops
up.
So
so
we
saw
that
these
were
disparate
services,
which
all
became
relevant
and
all
this
is
on
the
ACP
cloud
platform,
so
building
mobile,
apps,
building
portals
building
having
user
authentication.
A
Those
services
are
well
provided
by
the
cloud
platform
so
intelligently
connecting
people
things
and
businesses
is
essentially
what
this
whole
Leonardo
is
all
about.
Yeah
we'll
be
getting
into
each
of
the
components
a
little
in
detail,
starting
with
machine
learning.
Machine
learning,
of
course,
is
the
first
component
and
ACP
has
developed
several
occasions
for
on
using
machine
learning.
Some
of
these
applications
are
add-ons
to
the
core
digital
core
that
is
as
for
Hana,
and
there
are
certain
that
are
coming
up.
A
So,
just
to
give
you
a
couple
of
examples
with
machine
learning,
what
you
are
capable
of
doing
is
either
you
know:
automating
knowledge,
work
on
one
side
or
do
the
impossible,
as
we
say,
yeah
and
depending
on
what
you
are
trying
to.
There
are
several
apps
couple
of
examples
here
are
transformational
HR
services.
A
So
maybe
you
want
to
build
BOTS
using
s,
AP
lights-out
finance
operations,
self-driving
self-driving
customer
service,
so
we've
created
an
app
which
is
able
to
look
at
emails
coming
in
from
customer,
defining
the
severity
and
then
routing
it
to
the
right
team
within
the
organization,
so
automating
the
entire
customer
service
to
a
large
extent,
conversational
sales,
BOTS,
conversational
customer
care
BOTS.
So
these
are
things
that
automate
knowledge
work.
A
Essentially,
if
you
look
at
doing
the
impossible,
image-based,
Arriba
commerce,
so
so
one
of
the
customers
came
up
with
the
requirement
of
can
I
take
a
photograph
of
a
spare
part
and
it
raises
a
purchase
order
for
me
because,
as
a
maintenance
guy
who
is
in
the
field,
I
don't
have
time
to
do
these
three
steps.
So,
with
two
clicks
can
I
raise
a
indent
you
know
so
so
what
it
does
is
it
takes.
A
A
photograph
goes
to
AI
identifies
which
spare
part
and
part
number
it
is
then
sends
the
message
to
Arriba,
which
in
turn
raises
a
purchase,
requisition
or
video
or
where
marketing,
and
we
will
see
some
examples
of
that
where
I
can
actually
have
video
analytics
at
real
time
and
because
it's
about
marketing
it
tries
to
find
out
that
in
a
particular
cricket
match
how
many
times
was
the
logo
of
Pepsi
or
coke
or
whatever
you
are
trying
to
track.
How
many
times
was
that
scene?
You
know.
A
So
that's
that's
about
video,
aware
marketing
a
visual
store
execution.
We
will
see
some
of
that
as
we
go
along
vision,
enable
manufacturing,
contextual
logistics.
So
there
are
a
lot
of
applications
in
the
do
the
impossible
side,
which
have
also
come
up.
Many
of
these
have
been
Co
innovations.
So,
as
you
come
up
with
new
ideas,
as
my
earlier
speaker
spoke,
you
know
we
can
do
design
thinking
with
you
and
come
up
with
specific
you
cases
and
solutions
for
you.
A
One
of
the
interesting
applications
is
cash
management,
so
what
it
essentially
does
is
matching
of
payments.
You
know
is
something
that
it
does
really
well.
Today,
you
would
have
probably
deployed
on
the
accounts
receivable
side-
maybe
an
Open
Text
or
things
like
that,
or
maybe
account
payables
or
vendor
side.
You
would
have
deployed
Open
Text
on
the
on
the
customer
side.
However,
we
have
this
application
coming
in
for
for
collections,
so
matching
a
bank
statement
with
a
customer
collections.
A
You
know
that
matching
is
done
by
this
solution
and
it
takes
some
time
for
improving
the
accuracy,
so
it
will
start
with,
probably
if
40%
and
go
as
you
go
along
and
it
starts
learning
how
you
are
clearing
things,
how
customer
mapping
is
done.
It
starts
improving
the
the
whole
cash
management
process.
The
whole
matching
of
bank
statement
was
this.
Customer
collection
starts
getting
matched
automatically.
A
This
is
an
example
of
Swarovski
where
video
analytics
was
used,
essentially
what
they
had
was
they
make
a
lot
of
jewelry,
as
you
all
know,
and
when
they
had
a
customer
walk
into
a
store
with
with
a
broken
piece
of
a
product.
It
was
very
difficult
for
them
through
thousands
and
thousands
of
products
to
find
out.
A
Yes,
so
what
we
are
doing
here
is
uploading,
a
photograph
of
the
component,
that
the
customer
has
come
and
it
says
okay,
so
this
is
particular
product
number
47
and
I
can
place
an
order
specifically
on
that.
What
you
see
here
is
the
whole
matching
exercise.
So
when
I
upload
a
photograph,
it's
capable
of
taking
a
look
at
thousands
of
products
pick
the
right
component
and
exactly
detect
which
which
which
SKU
this
is
all
about.
A
A
There
are
by
the
way
as
customers,
you
have
access
to
some
of
these
tools
from
sa
P
to
do
a
30-day
trial,
and
you
know
you
can
can
play
around
with
some
of
these
solutions
to
look
at
build
your
own
applications
also
yeah.
So
Swarovski
is
one
example.
There
are
other
examples
also,
for
example,
in
copilot
copilot
is
a
CPS
chat,
bot
building
application.
You
are
now
able
to
obviously
chat
with
sa
P.
Many
of
you
would
have
deployed
chat
BOTS
for
HR.
A
Yesterday
we
had
a
panel
of
CHR
O's
about
six
or
seven
of
them,
and
almost
everybody
had
deployed
an
HR
policy
abort.
So
we
chat
BOTS.
What
you
can
do
is
create
BOTS,
for
could
be,
sales
could
be
service
could
be
HR
finance,
depending
on
where
you
want
to
take
it
yeah.
Nowadays,
the
whole
analytics
journey
is
broken
into
BOTS,
which
are
answering
certain
questions.
Analytics
is
answering
certain
and
and
alerts
are
answering
the
third
level
of
questions.
A
We
are
also
seeing
a
lot
of
analytics
consumption
in
the
process
itself,
so,
while
I'm
undertaking
a
particular
process
in
an
S
ap,
application
could
be
a
supply
chain
process
could
be
a
procurement
process
analytics
embedded
in
that
business
process
itself.
Yeah.
It
just
helps
the
whole
of
the
user.
Take
a
better
decision.
So
as
as
deep
said
yesterday,
if
you
were
there,
the
whole
intelligent
Enterprise
has
now
three
parts.
For
the
last
thirty
years,
we've
been
doing
automation,
that's
the
first
day.
Now
we
are
coming
to
assist
with
things
like
copilot.
A
That
is
the
second
day,
and
once
you
reach
the
assist
age,
you
move
to
the
third
stage,
which
is
act
or
as
an
organization
you
improve
productivity
through
automation,
you
improve
performance
through
assists
and
you
improve
agility
through
act.
So
these
are
the
three
pieces.
So
copilot
plays
a
critical
role
in
that
service
ticket
intelligence.
That's
the
second
application!
We
have
you
made
similarity
as
you
saw
in
machine
learning.
That's
the
third
one.
Let's
look
at
a
particular
video
analytics
for
marketing,
as
I
said
we're.
How
can
I?
A
B
Svp
Brad
a
little
video
analytics
service
for
brands,
media
agencies
and
media
production
companies
detected
brand
assets
afraind
in
the
video
and
correspond
to
the
lines
in
the
panel
below
it
allows
interactive
review
of
original
video
footage
overlaid
with
detection
z'.
In
the
summary
view,
you
get
reports
on
brand
exposure,
duration
and
size
on
the
screen.
In
the
detailed
view
you
get
indication
of
each
brand
screen
coverage
and
frequency
of
exposure
graph.
There
is
also
possibility
to
download
aggregated
data
and
CSV
and
PDF
formats.
B
A
Now,
what
we've
also
seen
as
we
get
into
industry
for
auto
projects
with
lot
of
customers
is,
is
video
sensing
and
taking
actions
from
real-time
data
is
increasing
a
lot
of
the
places
where
we
are
engaging
at
a
shop
floor
level.
We
see
this
coming
up
as
a
requirement,
so
whether
it
is
quality
related
defects
identified
or
it
is
a
production
specific
counting
that
it
has
to
do.
We
recently
came
across
an
engineering
in
construction
company
which
wants
to
update
percentage
completion
of
a
project
based
on
the
video
update
that
comes
from
the
project
site.
A
Maybe
some
of
you
would
be
interested
in
a
solution
like
that,
so
so
a
lot
of
such
requirements
are
coming
up
now.
Do
we
have
all
these
solutions
available
out
of
the
box?
No,
do
all
the
out-of-the-box
solutions
meet
your
requirements,
hundred
percent,
maybe
some
to
some
extent,
but
that's
where
the
process
of
innovation,
the
process
of
identifying
the
right
accelerator.
We
call
these
accelerators
taking
an
accelerator
and
then
customizing
it
to
your
requirement
becomes
a
interesting
task.
Yeah!
A
So
a
lot
of
innovation-
that's
happening
in
this
space
and
retail
is-
is
playing
a
very
big
role,
both
digital
as
well
as
physical
retail,
is
seeing
a
sea
change
using
some
of
these
technologies.
So
there
are
ready
to
use
solutions
like
the
cash
application
or
the
service
ticket
intelligence
or
brand
impact,
as
I
showed
you,
there
are
ready
to
Co
innovate.
So
this
is
the
second
thing
that
we
see.
A
Many
of
you
who
are
interested
in
doing
innovation
with
us
can
join
us
for
an
innovation
day
at
the
Leonardo
Innovation
Center
in
Bangalore,
and
that
that
place
is
running
like
a
nine
ox.
Theater,
almost
all
three
shows
full
pretty
much.
Every
week
we've
got
at
least
four
to
five
customers
coming
in
every
day,
9
to
5
p.m.
show,
and
typically,
in
that
innovation
day.
A
What
we
do
at
9
o'clock
in
the
morning
is
we
start
with
a
sensor
manufacturer
you
know,
could
be
an
Intel
could
be
a
Huawei
could
be
some
of
the
other
partners
who
we
have
depending
on
the
customers,
preference,
so
nine
o'clock
in
the
morning
we
start
with
sensors.
What
are
the
kinds
of
sensors?
How
do
you
select
a
sensor?
A
How
does
the
partner
help
you
choose
the
right
sensor
or
build
a
right
sensor
in
some
of
the
cases
10
o'clock
we
have
somebody
like
a
Vodafone
or
a
Tata
Communications
who
talks
about
a
lora
network
or
a
communication
network
and
how
sensors
across
the
country
that
you
would
have
in
your
assets?
How
can
we
connect
and
bring
that
data
back
home
11
o'clock?
We
start
with
Leonardo,
so
we
have
experts
who
will
talk
about
all
these
machine
learning,
artificial
intelligence
and
all
of
these
solutions.
A
Then
we
have
a
partner
like
could
be
a
Bosch
could
be
an
Accenture
could
be
a
knight.
Allegience
could
be
many
of
the
partners
who
are
medallion
partners
of
Si
P
medallion
partner
is
a
partner
who's,
fully
trained
and
capable
of
deploying
Leonardo
in
your
environment.
So
medallion
partner
talks
about
how
he's
taken
these
technologies
and
build
customers
experiences.
A
Then
we
do
a
tour
of
the
Leonardo
innovation
center
for
you
so
where
we
show
real
projects
real
time
Solutions
in
a
pretty
large
arena
where
we
have
hundred-plus
demos
which
are
live,
we
pick
out
of
those
100
about
25
to
30
of
them,
depending
on
the
industry
that
you
belong
to.
So
it's
not
just
you
as
an
individual
feeling
innovative.
A
You
need
to
make
your
CEO
and
CFO,
and
a
few
others
also
feel
innovative
and
that's
when
they
shell
out
money
from
the
pocket
to
help
you
do
the
projects
so
to
make
everybody
understand
what
innovation
is
to
make
everybody
understand
what
is
ACP
doing.
We
do
these
innovation
days
and
we
I
strongly
recommend
that
you
raise
your
hand
and
let
us
know,
drop
us
a
mail
saying
that
you
want
to
do
an
innovation
day
with
your
organizational
colleagues
and
we'll
be
happy
to
do
now.
When
we
do
this
innovation
day.
A
There
are
three
things
that
come
out.
First,
I
love
the
solution:
can
you
do
a
POC?
For
me?
That's
the
first
one
second
I
know
how
to
make
faucets.
You
know
how
to
make
software
let's
come
together
and
design
a
connected
faucet
that
is
co-innovation.
So
that's
where
we
provide
the
technology
platform,
but
our
innovation
services
team
works
with
you
to
come
up
with
a
co
innovation
project
and
in
this
Co
innovation.
This
newly
created
project
or
product
can
then
be
taken
to
the
market.
So
I
say
people
do
Co
innovation.
A
If
it's
something
we
can
take
to
the
market
on
your
behalf
or
along
with
you
yeah
and
the
third
one
is
ready
to
ideate.
So
that's
a
very,
very
specific
requirement
for
you
and
innovation,
which
is
meant
to
create
a
differentiator
in
your
organization.
That's
where
we
will
ideate
with
you
and
then
create
a
proof-of-concept
surprisingly,
and
the
next
speaker
will
talk
a
little
bit.
A
We
have
product
eyes
or
templatized
some
of
these
journeys
and
that's
what
makes
it
easy
for
us
to
come
up
with
solutions
which
are
very,
very
unique
for
your
requirement
coming
to
blockchain,
which
is
the
next
next
piece
of
technology
that
we
offer
from
an
SMP
perspective.
As,
as
you
all
know,
we
people
buy
from
people
now,
people
are
buying
from
machines;
slowly,
probably
machines
will
start
buying
from
machines.
So
the
whole
idea
of
obviously
blockchain
and
the
ledgers
is
distributed.
A
Ledger's
is
to
make
sure
that
we
build
trust
in
the
absence
of
two
humans
facing
each
other.
So
in
this
journey
of
trust,
there
are
several
examples
or
several
expectations
that
customers
have.
How
do
you
guarantee
trust
in
a
p2p
transaction?
Can
you
overall
simplify
this
and
we
are
seeing
a
lot
of
this
requirement
coming
from
various
government
organizations?
I'm
sure
some
of
you
in
this
room
would
have
blockchain
as
a
requirement
either
in
the
real
estate
business
or
in
the
supply
chain
area
or
in
some
of
the
other
digital
contracts
area.
A
One
example,
or
we
see
deployment
of
blockchain
in
three
areas.
One
is
public.
Second,
is
consortium,
and
third,
is
private.
Asap
generally
engages
in
a
private
approach.
Of
course
there
are
others
available,
depending
on
you
know
whether
it's
you
and
a
couple
of
your
ecosystem
partners
or
you
and
the
rest
of
the
ecosystem.
So,
depending
on
that,
we
pick
the
right
approach
for
deployment,
but
here
is
an
example
of
how
we
have
used
blockchain.
A
C
Can
be
used
in
the
field
of
real
estate
management,
the
demo
setup
consists
of
a
web
application
and
a
tangible
model.
The
web
application
allows
to
transfer
access
rights
to
the
houses
from
the
landlord
to
tenants,
as
well
as
between
individuals,
the
model
features,
five
houses,
a
central
card
reader
and
a
representation
of
the
blockchain.
C
Now
we
transfer
the
access
right
for
house
number
three
from
liesl
landlord
to
sam
lodger.
The
house
is
immediately
aware
of
the
transaction
which
is
shown
by
the
blinking.
Also,
a
new
block
is
at
it
by
scanning
lisa's
ID
card.
We
can
ask
the
houses
whether
they
grant
your
access.
This
decision
is
based
on
data
from
the
blockchain.
C
C
C
The
smart
contract
implemented
in
the
chain
code
of
this
demo
allows
to
transfer
assets
between
individuals
as
long
as
only
a
single
person
has
access.
If
we
check
again
for
Sam's
access
rights,
we
can
see
that
he
no
longer
has
access
to
house
number
three
still.
The
highlighted
Block
in
the
blockchain
shows
us
that
he
was
once
granted
access.
This
is
because
the
full
immutable
history
is
conserved
in
the
blockchain
bill.
On
the
other
hand,
now
has
access
to
this
specific
house
again
represented
in
a
block.
A
Yeah
in
India
of
your
seeing
of
you
also
have
another
solution
around
supply
chain
that
we
have
come
up
with.
So
so,
as
you
know,
goods
which
move
from
a
factory
to
a
logistics
company
from
a
logistics
company
to
a
port
from
a
port
to
a
shipping
liner
from
a
shipping
liner
to
the
new
port
and
the
process
continues.
So
the
custody
of
the
goods
handshakes
at
various
point
in
time,
and
the
customs
department
requires
complete
transparency
and
the
dispatcher
as
well
as
the
receiver,
want
to
know
where
it
is.
So.
A
A
For
those
who
want
to
take
a
look,
we've
got
a
couple
of
customers
who
are
actively
doing
a
POC
in
India
for
that,
so
several
use
cases
that
we
are
seeing
in
block
chain
across
banking,
finance,
logistics,
social
and
a
few
other
sectors,
so
whether
it
is
in
the
area
of
syndicated
loans
or
it's
in
finance
related
to
Dunning's
running
process
in
logistics,
as
I
said,
traceability
track
interest,
we
are
seeing
a
lot
around
even
in
agriculture.
Now
I
didn't
mention
the
AI
in
agriculture
that
that
we
are
working
on
s.
A
Ap
launched
recently
a
a
farm
management
solution.
Again
it's
at
a
beta
stage,
but
one
of
the
customers
who's
working
with
us
on
the
farm
management
solution
in
India.
Of
course,
the
the
requirement
is
slightly
different.
We
are
trying
to
localize
that
solution
with
a
group
of
people
across
different
industries
who
have
come
together,
yeah,
because
agro
is
a
pretty
important
aspect
for
India,
so
blockchain
playing
a
critical
role
in
many
such
our
solutions.
The
next
one
is
IOT.
Iot
has,
of
course,
a
slightly
larger
framework
to
it.
A
What
you
see
at
the
top
is
what
we
call
the
leonardo
bridge
that
is
sort
of
the
application,
enablement
layer
or
that's
probably
the
orchestration
layer
that
is
a
layer
that
I
use
for
dragging
and
dropping
and
creating
my
own
IOT
applications
which
have
an
html5
front-end.
What
you
see
below
are
the
various
applications
or
essentially
the
the
pillars
under
which
we
have
applications
available
connected
products.
A
So
we
have,
as
I
said,
we
have
customers
who
put
sensors
in
the
product,
whether
it's
a
tire,
whether
it's
a
battery,
whether
it's
a
tractor
so
connected
products
is
an
example.
All
the
data
from
the
sensors
coming
back
and
some
cases,
we've
got
customers
who
converted
from
a
capex
selling
method
to
an
optics
method,
and
you
will
see
one
of
those
examples
today
with
a
compressor
manufacturer
connected
assets.
So
what
we've
done
is
created
a
Facebook
of
machines.
So
what
times?
A
What
we
are
seeing
is
a
trend
we,
some
of
the
large
companies,
are
taking
their
entire
asset
base
base
across
a
couple
of
companies
or
even
a
single
company
and
having
that
off
into
a
second
company.
So
a
new
company
that
is
owning
assets
of
five
or
six
different
group
group
companies
and
their
only
job
is
to
insure
a
twenty
five
four
by
seven
operation.
A
If
your,
if
any
of
your
organization's
is
getting
into
that
direction,
then
the
Facebook
of
machines
or
the
asset
intelligence
network
is
ideal
for
you,
because
what
it
does
is
it
synchronizes,
with
the
maintenance
module
in
the
ERP,
takes
the
entire
asset
master.
Then
creates
a
digital
twin
and
hooks
up
with
the
sensors
that
you
have
put
into
those
assets.
The
whole
process,
of
course,
is
done
by
the
IOT
team
and
the
some
of
our
operations
partners.
A
Once
the
digital
twin
is
created.
You
can
then
give
access
of
this
data
to
the
maintenance
team.
You
can
give
access
to
the
OEM
of
the
device,
the
device
manufacturer
that
is
or
the
asset
manufacturer,
and
you
can
also
give
access
to
a
third-party
agency
who's.
Doing
the
maintenance
yeah
so
connected
assets
is
a
big
requirement.
We
are
seeing
that
coming
up
in
a
very
big
way
again,
a
slightly
complex,
slightly
longest
project
always
starts
as
a
POC,
but
we
have
started
seeing
it
pick
up
quite
well
connected
fleet
connected
infra
connected
people.
A
We
are,
we
are
working
with
one
of
our
large
customers
in
India,
who's
developed
a
variable,
and
we
are
coming
up
with
a
real-time
safety
platform
for
oil
and
gas
companies
yeah.
So
so
that's
an
example
of
connected
people
so
connected
smart
cards
and
there
are
a
whole
host
of
solutions
that
are
available.
What
you
said
see
down
below
is
what
is
called
the
leonardo
foundation
now
Leonardo
foundation
is
where
you
have
the
IOT
services,
the
queuing
services,
and
that
whole
thing
is
available
on
ACE
a
piece
cloud
platform.
A
What
you
see
at
the
extreme
right
is
the
edge.
That
is
where
we
have
a
solution,
sometimes
sometimes
the
most
of
the
times
and
a
manufacturing
plant.
We
typically
install
an
edge
solution,
because
all
data
need
not
go
to
the
cloud
yeah,
so
you
have
local
decisions
taken
locally
at
the
edge
device
itself
and
the
edge
has
has
device
management
has
artificial
intelligence
and
machine
learning
services.
All
of
those
are
prepackaged
and
bundled
on
to
the
edge
itself.
It's
only
the
exceptions
which
go
to
the
cloud.
D
D
D
D
D
D
The
customer
has
put
the
compressor
into
service
based
on
a
service
agreement.
The
manufacturer
remotely
monitors
the
real-time
performance
of
the
compressor
using
sensor
technology
for
any
threshold
violation.
The
sensors
trigger
a
predictive
alert,
a
red
alert
has
occurred,
looks
like
the
operating
temperature
is
too
high.
The
service
engineer
is
analyzing.
Why
and
which
components
are
affected.
Predictive
alerts.
Allow
you
to
quickly
take
action
to
prevent
serious
errors
before
they
occur
and
to
maximize
the
operation
lifetime.
A
So
this
is
just
a
an
example
of
multiple
components.
Again,
the
predictive
maintenance
and
services
solution
helps
obviously
take
real-time
data
from
an
asset
help
predict
the
right
maintenance
requirements
and
the
service
requirements,
so
that
PDMS
is
a
solution
dedicated
for
that.
A
lot
of
the
customers
in
India
currently
are
piloting.
It
we've
done
it
for
whether
it's
a
transformer,
whether
it's
a
you,
know
some
of
the
larger
assets
that
require
this
particular
solution.
A
E
E
You
turn
your
data
into
insight,
so
you
can
evolve
business
processes
by
building
individual
differentiating,
IOT
applications
with
plug-and-play
simplicity,
templates
and
wizards,
reusable
components
and
extensions.
Predictive
analytics
insight
leads
to
action
and
with
smart
data
storage.
Hot,
warm
and
cold
action
leads
to
a
concrete
outcome,
an
outcome
that
grows
into
new
value
for
your
products
and
services,
merging
real
world
operations
with
commercial
business
process,
software
can
drive
scale,
consistency
and
efficiencies
in
real
time.
E
With
the
platform
based
business
strategies,
you
will
transform
new
service
models
and
business
value
and
create
live
business,
changing
the
nature
of
how
you
work
the
nature
of
the
game,
even
of
your
company.
Now
your
digital
to
based
simply
on
knowledge
that
was
just
below
the
surface.
We
make
the
Internet
of
Things
run
soon.
A
A
We
can
come
to
your
organization,
build
an
IOT
application
in
less
than
three
hours
connected
to
a
sensor
and
walk
out.
Do
call
us
if
you
want
to
test
any
of
these
solutions.
Luckily
all
of
them
are
in
the
cloud.
So
there
is
no
question
of
installation
and
taking
time
for
some
hardware
to
arrive,
and
all
of
that,
if
you
have
a
sensor
which
which
has
iron
again
it
can,
it
can
be
a
ble,
it
can
be
a
ZigBee.
It
can
be
talking
in
any
language
that
it
wants
to.
A
We
can
hook
it
up
and
show
you
the
whole
thing
working
at
real
time
with
a
drag-and-drop
architecture
that
the
Leonardo
bridge
allows
you
to.
You
know
build
on
so
IOT
applications,
IOT
foundation
and
platform
and
the
edge.
These
are
the
components
that
essentially
constitute
the
overall
IOT
portfolio
last
piece,
which
probably
my
colleague,
covered
in
a
lot
of
detail
and
will
continue
to
share
some
more
insights
on
is
the
innovation
services.
So,
as
as
he
explained
you
are,
you
have
step
one
with
Design
Thinking
step
two,
which
is
discovery
and
design
and
step.
A
Three
is
delivery.
These
are
the
three
steps
that
we
essentially
follow
and
some
details
he's
already
covered
in
the
second
part,
he
will
get
deeper
into
Design.
Thinking
I
sincerely
urge
you
to
try
that
design.
Thinking
approach
for
one
of
your
innovative
requirements
for
which
there
is
a
business
case,
you
will
see
that
our
design
lead
product
project
methodology
is
completely
different
and
the
whole
empathy
driven
approach
of
solving
problems
is
very
different
from
what
we've
been
doing
in
the
last
10
15
20
years.
It
completely
changes
the
game.
A
It
gives
you
a
much
better
outcome
and,
most
importantly,
it
allows
you
to
come
up
with
a
solution,
much
faster
and
in
a
modular
way
than
what
you've
been
used
to
seeing
so
those
nine
month
of
a
shapee
implementations
and
all
those
are
Ghana.
So
if
you
are
trying
Leonardo
it's
a
couple
of
weeks,
months,
sort
of
a
thing
and
you
will
start
seeing
much
more
action
as
you
go
along
yeah,
so
I
will
take
a
stop
at
that.
A
I
hope
you've
got
a
feel
of
of
the
the
technologies
that
we
have
to
offer
do
visit
the
Leonardo
Innovation
Centre
in
Bangalore,
raise
your
hand
we'll
be
happy
to
organize
an
innovation
day
for
you
and
some
of
your
executives.
It
is
ideal
to
come
there,
map
your
requirements,
build
something
new
and,
more
importantly,
inspire
the
rest
of
your
organisation.
Thank
you.
Thank
you.
So
much
appreciate
your
time.