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From YouTube: Industry 4.NOW - Intelligent Assets with SAP
Description
Industrial / manufacturing / Assets are one of the most critical components that have been purchased in order to produce services and products.
In the current scenario most of the organisations lack a clear visibility on this and thus end up doing any one of the following:
o The productive assets are lying idle and therefore all investments made are not yielding any returns
o More assets are being hired/bought in order to meet the demand while similar assets are lying idle in some other part of the organisation
Intelligent assets thus help overcome this situation and helps monitor, manage, utilize and maintain the assets
Intelligent assets also result in monitoring the preventive maintenance schedule and record all the repairs and replacements that happen to these assets. This helps adhere to the schedule and thus keep the assets healthy and make them last longer and also prepares the ground for predictive maintenance
Learn how to make you assets intelligent and get the most out of them in order to get a better ROI, productivity and efficiency
A
A
A
A
A
Okay,
so
we
are
three
minutes
on
top
of
the
hour.
I
think
we
should
respect
the
time
of
people
who
join
on
time.
So,
let's
get
started
thanks.
Everyone
for
joining
in
this
is
the
second
session
in
the
in
a
five
part
series
that
we
are
running
around
industry
four
dot.
Now
the
first
one.
As
I
said,
we
had
a
couple
of
days
back
a
lot
of
you
attended
that
session
as
well.
A
We
had
a
panel,
we
had
maliki
kind
of
set
the
context,
and
then
we
had
a
panel
discussion
of
very
eminent
panelists
who
talked
about
all
the
different
perspectives
when
it
comes
to
industry
4.9.
So
now
that
we
have
a
very
broad
picture,
the
idea
is
the
rest
of
the
four
sessions
are
going
to
be
very
focused
on
a
particular
aspect
of
business
that
we
are
going
to
focus
on
and
how
industry
4.
A
now
impacts
that
particular
part
of
your
business,
so
that
at
the
end,
maybe
you
know
we
can
all
put
it
back
together
and
see
the
kind
of
impact
that
some
of
these
technologies
can
have
on
your
overall
business.
Again.
It
is
my
pleasure
and
privilege
to
kind
of
welcome
maliki
martin
global
director
center
of
excellence
at
sap
to
kind
of
take
us
through
the
topic
on
hand
today,
which
is
intelligent
assets,
and
how
can
we
use
intelligent
assets
to
kind
of
you
know,
drive
business
and
improve
productivity?
A
From
that
point
of
view,
so
maliki
has
over
30
years
of
experience,
he's
worked
in
various
industry.
Verticals
he's
done.
Multiple
implementations
in
terms
of
in
industries
like,
for
example,
utilities,
transport,
energy,
retail
telecom,
banking,
finance
fintech.
He
has
an
exceptional
track
record
and
a
diverse
range
of
skills
in
digital
thought,
leadership,
specifically
industry,
4.0,
and
even
more
specifically,
around
intelligent
asset
management.
B
B
But
then
I
will
go
into
a
lot
more
detail
in
terms
of
our
intelligent
ad
management
portfolio
and
how
that
touches
at
the
core
within
your
businesses,
but
also
how
that
touches
the
people
who
are
involved
in
that
process
so
hoping
you
enjoy
it
and
looking
forward
later
for
some
questions.
Of
course,
there
will
be
a
q
a
session
later
and
we'll
get
a
chance
to
to
discuss
your
queries
and
hopefully
give
you
answers.
B
B
Yes,
thank
you
very
much
mukesh.
So
we
opened
up
on
tuesday
talking
about
industry,
for
transformation
and
why
we
at
sap
believe
it's
important
that
we
start
not,
and
we
touched
on
what
our
four
key
pillars
for
us,
one
of
which
is
intelligence,
assets
and
you'll,
learn
throughout
this
deck
as
as
to
exactly
where
that
sits
within
sap's
overall
industry
4-0
journey.
B
Now
I
like
to
start
all
of
my
presentations
with
a
quotation.
I
use
this
one
on
tuesday,
but
again
I'll
use
it,
because
it
is
really
important
in
the
context
of
the
disruptions
we've
experienced
in
the
last
couple
of
years.
Warren
buffett
back
in
2009
as
part
of
the
the
great
financial
recession
said
only
when
that
tide
goes
out.
Do
you
discover
who's
been
swimming
naked
and
I
think
we've
all
been
guilty
in
that
respect.
B
Over
the
last
few
years,
it's
been
very
obvious
that
our
systems
and
our
solutions
have
been
challenged
by
the
pandemic
and,
more
recently,
by
some
of
the
other
global
disruptions
that
are
taking
place
now.
They're
disruptions
yes,
but
they're,
not
only
threats,
but,
as
I
mentioned
earlier
this
week,
there
are
also
opportunities
and-
and
what
has
been
particularly
clear
about
the
recent
disruptions
is
that
they
have
totally
highlighted
a
lack
of
visibility
across
the
supply
chain
and
it
has
forced
many
of
the
organizations
we
work
with
and
a
lot
of
the
organizations.
B
B
This
one's
less
less
tied
to
the
owner
than
perhaps
people
think
and
henry
ford
is
quoted
as
saying
that
if
I
had
asked
people
what
they
wanted,
they
probably
would
have
said
they
wanted
faster
horses,
and
this
is
obviously
back
in
the
day
when,
when
transport
was
first
invented
and
automobiles
became
a
norm
as
it
were,
but
you
know
whether
it's
actually
accredited
to
henry
ford
or
not.
It
is
very
relevant
in
the
context
of
intelligent
assets.
When
we
talk
about
the
assets
we
have
today,
how
do
we
make
them
more
intelligent?
B
We
focus
on
driving
every
enterprise
with
our
complete
portfolio,
our
business
technology
platform,
underpinning
the
solutions
that
we
have
available
and
those
solutions
are
touching
any
and
every
industry
with
which
we
work,
and
we
work
with
quite
a
few
as
you
know,
but
effectively.
What
this
is
doing
is
it's
allowing
us
to
focus
on
customer
imperatives,
we're
focusing
on
those
business
transformations.
I
mentioned
the
fact
that
the
supply
chain
needs
to
be
much
more
resilient
and,
of
course,
as
I
call
it,
the
s
word
sustainability
and
delivering
sustainability
outcomes.
B
What
that
video
clearly
points
out
is
that
we
believe
that
the
time
for
industry
for
xero
is
not
industry.
Four
zero
is
changing
everything
we
have
in
our
enterprises
around
technology
and
strategy
and
by
embracing
industry
four
zero.
It's
moving
our
customers
from
transactional
data
silos
to
much
more
integrated,
data-driven
business
processes.
B
How
are
we
able
to
do
this?
We're
able
to
do
this
by
leveraging
the
huge
amounts,
the
mountains
of
real-time
digital
data
that
exist
in
order
to
help
companies
we
work
with
to
become
quicker,
smarter,
make
better
database
decisions,
identify
trends
and
predict
challenges
and
we'll
talk
a
lot
about
the
predictive
assets
capability
that
we're
bringing
to
the
market
and
all
of
this,
while
integrating
it
into
every
part
of
the
business
and
every
part
of
the
value
chain.
B
We've
talked
about
the
dramatic
impacts
and
the
disruption
that
has
been
caused
by
the
pandemic
and
more
recent
events
around
the
world.
We've
talked
about
the
impact
on
the
workforce.
There
has
been
a
dramatic
evolution
in
terms
of
the
way
we
work
the
way
we
even
attend
offices.
The
way
we
travel
all
that
has
helped
us
to
have
to
define
new
ways
of
working
and
new
business
models
to
cope
with
that
and,
of
course,
sustainability
is
a
critical
success.
Factor
throughout
all
of
this
industry.
B
Sap
strategy
for
industry
4-0
focuses
on
all
of
this.
It
focuses
on
three
core
business
priorities,
all
underpinned
by
one
strategy
we
center
on
our
customers.
What
is
the
customer
saying?
What's
their
sentiment
telling
us
and
how
do
we
develop
our
solutions
to
meet
with
that?
How
do
we
reinvent
the
items,
we're
producing
leverage,
intelligence
asset
capability
to
be
able
to
dynamically,
adapt
to
production
priorities
and
also
deliver
customization
at
scale?
B
B
We
see
the
full
service
management
life
cycle
being
driven
alongside
an
outcome
based
operation
within
the
asset
management
space.
We're
seeing
the
need
for
every
touch
point
on
the
asset,
all
the
way
from
its
inception
through
commissioning
through
the
maintenance
strategies
and
analysis
through
maintenance
planning
and
execution
all
all
the
way
through
environment,
health
and
safety
and
risk
management
driving
outcomes
which,
in
turn
are
driving
a
service
driven
approach.
B
B
In
order
to
avoid
potential
diet
with
our
asset
performance
management
and
our
enterprise
asset
management
solution
portfolio,
we
are
seeing
a
full
solution:
portfolio
that
is
covering
asset
strategy
and
asset
health.
In
the
asset
performance
management
space,
it
is
considering
risk
and
reliability.
It's
considering
the
strategies,
the
health
monitoring
of
the
asset
and
demand
generation.
From
that
side,
it's
looking
at
maintenance
insights
and
considering
the
end-to-end
value
proposition,
how
to
be
able
to
have
much
better,
more
prescriptive
condition.
B
Based
maintenance
to
be
able
to
be
less
reactive
and
to
be
more
predictive
in
terms
of
how
we're
doing
the
maintenance,
how
we
can
manage
those
instructions
and
be
able
to
do
capital
works,
but
also
replacement
works
that
are
more
effective
in
terms
of
enterprise,
asset
management.
Of
course,
all
of
this
needs
to
hang
together
and
our
ean
solutions.
B
We
have
seen
here
that,
through
taking
these
solutions,
embedding
intelligent
asset
management,
we're
able
to
drive
much
better,
more
focused
capabilities,
having
better
analytics
information,
we're
able
to
predict
use
ai
triang
models
and
be
able
to
actually
in
such
a
way
that
we
don't
always
have
to
dispatch
a
person
to
a
location.
We
can
only
dispatch
them
and
should
only
dispatch
them
at
the
right
time
so
that
they
are
not
effectively
burning
money
or
burning
time
when
they
could
be
focused
and
directed
at
a
much
more
predictive
outcome.
B
The
internet
of
things
acts
as
a
backbone
for
our
industry,
40
capability.
I
mentioned
earlier
this
week
the
fact
that
when
we
start
to
look
across
all
of
these
aspects,
we
consider
the
need
for
smart
sensing
being
able
to
identify
early
in
the
full
life
cycle.
Any
trends
or
any
information
coming
from
the
equipment
being
able
to
leverage
analytics
and
intelligence
to
stay.
B
On
top
of
that
to
be
able
to
turn
what
is
effectively
sensor,
data
into
real-time
data
insights,
to
leverage
that
big
data
and
drive
much
better
business
applications
and
also
much
better
ease
of
use
and
consumption
of
the
information
and
all
of
this
close
to
the
asset
in
the
cloud,
but
also
at
the
edge
which
I'll
discuss.
In
a
moment
we
are
seeing
when
discussing
all
of
these
areas.
There
are
different
market
dynamics.
At
least
business
performance,
as
I
mentioned,
is
more
critical
than
ever.
B
The
need
to
have
much
more
productive
outcomes,
the
need
to
adapt
to
change
and
also
to
be
more
competitive
in
the
outcome
of
what
we've
seen
in
the
last
couple
of
years.
This
need
has
never
been
more
apparent,
being
able
to
drive
products
and
services
that
are
individualized
for
our
customers
and
drive,
speed
to
market
and
trust,
and
then,
as
I
mentioned,
the
need
to
provide
product
excellence
whilst
doing
that
innovation
is
critical
in
this
regard,
and
sustainability
and
quality
have
never
been
more
important.
A
B
C
D
How
can
we
improve
the
operational
readiness
of
our
devices?
How
can
we
enhance
customer
satisfaction
and
loyalty?
Nowadays,
the
delivery
of
the
product
is
no
longer
the
end
of
the
deal
after
customers
have
installed
an
intelligent
device
like
our
double
seat
valve
in
their
plant.
They
can
easily
connect
it
to
the
internet
of
things
via
plug
and
play.
D
Besides
the
advantages
of
predictive
maintenance,
machine
learning
can
be
used
to
constantly
optimize
the
maintenance
strategy
and
reduce
downtimes
and
costs.
The
digital
twin
always
shows
the
current
status
of
its
physical
counterpart
even
down
to
individual
components,
maintenance
and
repair
services
can
be
fully
automated.
D
The
system
generates
a
service
ticket
and
sends
an
order
to
the
responsible
technician,
an
app
guides,
the
technician
to
the
device
and
helps
to
replace
the
right
components
in
the
right
order
with
augmented
reality.
Support
designed
to
operate
is
not
a
linear
process.
The
data
collected
during
operation
is
the
starting
point
for
continuous
product
improvement.
B
Okay
cool,
so,
if
you
think
of
it,
if
we
have
sensors
attached
to
our
intelligent
equipment,
whether
that's
in
the
manufacturing
context
or
any
other
context,
those
sensors
can
continually
feedback
information.
They
can
feed
it
back
into
a
digital
one
of
the
asset,
and
that
helps
us
to
understand.
Things
like
you
know,
is
the
equipment.
Overheating
has
something
failed
in
the
equipment
and
do
we
need
to
be
able
to
provide
maintenance
immediately
in
order
to
make
sure
that
the
line
is
not
stopped.
B
What
is
the
energy
usage
of
the
equipment?
Is
there
effects
from
other
areas
like
high
humidity,
high
temperatures
that
are
changing
the
dynamics
of
how
this
particular
asset
is
working?
But
all
of
this
information
from
these
sensors
in
iot
can
be
fed
back
and
captured
alongside
the
asset
information,
alongside
the
asset
strategy
in
the
planning
and
impacting
the
master
acid
data,
so
that
we're
able
to
monitor
all
of
this
and
keep
it
working
in
many
different
ways.
B
But
when
we
do
the
empowered
people
session
later
next
week,
you'll
hear
about
even
sensors
that
are
being
equipped
now
in,
for
example,
the
helmets
of
a
worker
sensors
to
identify
is
the
worker
under
stress?
Is
the
worker
going
to
be
affected
by
something
in
the
area
where
they're
working
so
that
we're
able
to
monitor
that?
We
have
examples
when
I
talk
about
the
customers
at
the
moment,
where
we're
using
noise
analysis
to
be
able
to
predict
whether
or
not
a
line
is
going
to
stop.
B
We
have
examples
in
the
fmcg
space
where
our
customers
are
using
the
ability
to
monitor
drivers,
you're
driving
goods
from
one
location
to
another
over
long
distances,
to
identify
whether
or
not
the
driver
is
falling
asleep
and
to
be
able
to
take
retrospective
action
in
that
regard.
So
these
sensors
and
this
capability
of
building
intelligence
into
the
equipment
and
the
people
who
are
operating
it
is
something
that
is
definitely
a
core
part
of
our
intelligent
asset
management
strategy
and
helping
us
to
drive
much
better
as
a
performance
management
capable.
B
Let's
have
a
look
at
an
example
here,
where
remote
operations
and
field
service,
for
example,
can
be
enabled
at
the
age
if
we
think
of
equipment
that
is
sending
sensor.
Information
that
effectively
allows
us
as
soon
as
something
goes
wrong
to
be
able
to
trigger
information
to
ensure
that
number
one.
The
employees
are
safe
to
capture
information
relating
to
the
asset
downtime
and
also
push
that
out,
so
that
we're
able
to
drive
the
right
person
at
the
right
time
to
fix
that
being
able
to
leverage
new
equipment
like
drones
or
cobots
or
robots.
B
To
do
this
as
well,
and
also
connect
that
and
integrate
that
with
the
erp
system
is
important.
Now,
normally,
when
I
talk
about
this
people
say
but
malagi,
the
performance
of
the
network
is
really
going
to
affect
these
strategies,
and
it
is
true
right.
We
have
come
to
a
world
today
where
I'm
doing
this
webinar,
for
example,
from
my
home,
and
I
need
to
have
reasonably
reliable
and
very
always
up
comments
right,
but
we
are
seeing
at
the
edge
that
this
is
also
something
that
is
becoming
a
bit
of
a
challenge.
B
Traditional
4g
and
traditional
wi-fi
are.
There
are
working,
but
with
the
advent
of
5g,
we're
seeing
that
we're,
hopefully
going
to
be
able
to
drive
to
a
much
more
low,
latency
high
bandwidth
solution,
portfolio
and
we're
seeing
organizations
and
working
with
organizations
in
the
5g
council,
for
example,
we're
driving
a
private
and
a
public
5g
capability.
B
B
Now
I
want
to
cover
some
customer
stories
next
before
I
wrap
up.
I
think
I'm
doing
okay
on
time,
so
I
there
are
quite
a
few
customer
stories
here,
but
I
think
it
is
important
because
they
are
across
different
industries
and
they're
all
leveraging
different
aspects
of
our
intelligent
asset
management.
B
The
first
example
here
is
that
that
one
I
was
talking
about,
we
are
listening
to
the
equipment,
that's
being
used
and
analyzing
the
noise
coming
from
that
equipment.
So
we
have
a
customer
in
europe
in
the
automotive
industry
and
effectively
on
their
assembly
line.
They
are
leveraging
iot
and
our
predictive
insights
capability
to
monitor
those
assets,
so
they're
monitoring
the
sound
of
the
acid
and
if
they
also
monitor
the
temperature
of
the
asset,
the
vibrations
of
the
asset
through
computer,
listening
they're
able
to
identify
when
an
anomaly
occurs.
B
We
have
trained
ai
ml
models
that
then
are
analyzing.
This
information
and
they're
identifying
whether
or
not
this
is
possibly
going
to
cause
a
limestone,
they're
gathering
and
filtering
the
data
through
these
trend
models.
They're
able
to
predict
whether
or
not
there's
going
to
be
failure
and
if
they
predict
something
that
might
cause
an
issue,
they're
able
to
actually
alert
employees
the
right
employees
to
come
with
this
information
in
order
to
prevent
dying
time
on
the
line.
B
The
employees,
of
course,
will
have
all
the
asset
information
to
hand
and
they're
able
to
make
better
inspection
and
fixes
at
the
point
of
work
in
order
to
drive
much
better
business
outcomes.
This
particular
customer
has
seen
a
significant
cost
in
terms
of
avoiding
equipment,
break
time
and
downtime,
and
in
the
examples
that
that
we
were
looking
at
here,
they
managed
to
reduce
the
number
of
line
stops
from
four
to
zero
after
implementation.
B
E
Sbb
is
one
of
the
largest
transportation
service
providers
in
switzerland
with
more
than
100
years
of
history,
sbb
anticipates
a
steady
increase
in
demand
for
passenger
services
to
run
its
fleet
more
efficiently.
Sbb
is
investing
in
reliability.
Centered
maintenance,
sbb
uses
sap
asset
intelligence
network
to
communicate
with
its
suppliers
more
easily.
E
Sap
asset
strategy
and
performance
management
supports
the
implementation
of
its
reliability.
Center
maintenance
strategy
and
sap
predictive
asset
insights
integrates
data
taken
directly
from
trains
onboard
monitoring
systems
by
integrating
these
solutions
from
sap
sbb
brings
together
different
capabilities
to
reshape
asset
management.
E
Sap,
intelligent
asset
management
solutions,
help
sbb
to
optimize
every
second,
that
a
train
is
in
the
workshop.
Just
like
a
formula.
One
pit
stop
by
integrating
real-time
onboard
and
trackside
monitoring
data
with
parts
inventory.
Data
sbb
can
speed
up
the
maintenance
process
and
maximize
efficiency.
B
So
this
is
a
really
good
example
of
how
our
intelligent
asset
management
portfolio
is
coming
together
in
this
industry.
Another
company-
and
I
I
talked
about
iot-
and
I
talked
about
iot
at
the.
This
is
another
example
of
a
company
that
is
leveraging
industry
four
zero
to
allow
to
take
the
iot
h
capabilities
that
we
have
in
order
to
provide
much
better
predictive
analytics
and
ensure
better
efficiency
and
quality
on
the
production
line.
In
this
case,
they
are
using
production
parameters
such
as
temperature.
B
So
this
particular
customer
is
also
looking
at
how
they
can
monitor
analyze,
that
data
drive
manual
tasks
out
of
the
equation
and
leverage
ai
and
ml
models
to
be
able
to
provide
much
better
containerized
service
capabilities
at
the
age.
It's
bringing
together
data
all
in
one
single
platform,
allowing
limited
traffic
in
the
cloud
and
much
more
at
the
location
at
the
capabilities,
and
it's
therefore
helping
them
to
increase
efficiency
across
the
production
line
and
also
manage
the
amount
of
raw
material
that's
being
used
in
order
to
improve
product
quality.
B
B
So
this
is
a
company
where
it's
capturing
data
from
the
packaging
machines
and
they're,
looking
at
condition-based
maintenance
associated
with
that
they're
monitoring
the
operations
they're
able
to
detect
anomalies
and
trigger
alarms
that
therefore
prevent
downtime
and
these
companies.
This
particular
company
is
looking
to
be
able
to
deliver
easy
and
fast
integration
across
all
their
machines.
B
B
Another
company
in
the
immc
space
is
looking
at
increased
visibility
of
their
asset
components,
they're
able
to
leverage
digital
twin
capability
to
be
able
to
provide
new
services
to
their
customers
and
be
able
to
provide
full
transparency
and
transparency,
as
you
know,
is
really
important.
When
we
get
into
that
sustainability.
B
Discussion
that
we've
been
talking
about
earlier
in
the
steel
industry,
we
have
a
company
that
has
been
able
to
trim
their
maintenance
costs
significantly
by
leveraging
the
asset,
information,
asset
intelligence
and
the
full
asset
performance
capability
to
significantly
change
the
synergy
between
both
their
existing,
but
also
their
their
plan
system
landscape.
So
they
currently
have
23
000
assets
that
are
in
the
scope
within
a
plant,
and
they
are
really
looking
and
have
already
seen
significant
improvements
in
their
maintenance
costs.
B
If
we
look
at
another
company,
similarly,
in
the
asset
intelligence
space,
they
are
looking
at
how
they've
leveraged
iot,
with
sap
to
provide
faster
response
to
service
calls
much
more
predictive
maintenance,
condition,
monitoring
and
augmented.
Reality
has
now
been
included
into
their
solution,
portfolio
as
well,
they're
using
the
sap
asset,
intelligence
network,
our
cloud
platform,
our
erp
application
and
also
service
cloud,
and
all
of
our
sap
analytics
flight
solutions
to
help
them
to
drive
a
full
transformation
within
their
organization.
B
Another
one
in
terms
of
predictive
iot
insights
in
the
manufacturing
and
energy
space
is,
is
a
company
that
is
building
out
plant
maintenance
and
premium
maintenance
services
for
their
customers.
They've
been
able
to
adapt
new
business
model
around
these
premium-based
services
and
they
really
have
leveraged
the
technology
being
able
to
take
people
skills
and
build
that
with
their
partner
ecosystem
in
order
to
define
a
much
better
way
of
managing
their
equipment.
B
B
F
F
The
list
is
endless,
extreme
market
shifts
and
unpredictable
volatility
have
taught
us
a
valuable
lesson.
Your
supply
chain
is
what
defines
your
success
or
failure.
A
modern
digital
supply
chain
shares
the
mountains
of
real-time
data.
You
collect
across
every
integrated
part
of
your
manufacturing
operation.
F
Products
can
be
designed
based
on
real-time
customer
feedback.
Planners
can
specify
only
available
components,
manufacturing
can
be
customized
at
scale.
Logistics
are
optimized
for
flawless
delivery
and
predictive
maintenance
can
help
you
achieve
zero
downtime,
but
probably
the
most
valuable
thing
a
modern
supply
chain
can
give.
You
is
resiliency
the
flexibility
to
adapt
to
anything,
that's
thrown
at
you
from
anywhere
in
your
supply
chain,
so
that,
ultimately,
you
can
build
any
product
anywhere
at
any
time.
What,
if
you
had
the
flexibility
to
adapt
to
the
most
unimaginable
scenarios
through
a
living?
F
B
B
At
the
point
of
operation
at
the
right
time
and
then
in
an
intelligent
fashion,
which
is
making
sure
that
we
conduct
intelligent
and
sustainable
enterprise
to
all
of
our
customers.
So
thank
you
very
much
for
your
time.
Thank
you
very
much
for
listening.
Please
we'll
get
a
chance
tonight.
Have
some
questions
and
answers
over
to
you.
A
Thank
you
so
much
maliki
for
taking
us
through
the
presentation
I
would
now,
since
we
have
a
small
cohort
right
now.
I
would
rather,
I
had
originally
planned
to
split
everyone
into
a
smaller
room
so
that
we
can
have
a
round
of
discussion
and
then
come
back
and
have
that
conversation.
But
since
we
don't
have
that
many
people,
we
are
only
about
12
13
people
in
the
call.
A
A
A
C
How
can
an
industry
get
a
value
out
of
this
from
the
maintenance
perspective,
meaning
how
do
I
probably
increase
my
operative
time
and
you
know
reduce
my
shutdown
or
the
non-productive
time?
How
does
you
know
industry
four
dot
now
possibly
help
me
and
are
there
any
examples
of
a
real
value
coming
out
of
it
in
dollar
cent
terms
or
in
in
man
are
same
terms
or
productivity
increase.
Whatever
might
be
the
measure.
B
Yeah,
it's
a
good
question
right.
I
think
I
think
we
always
talk
about
these
things
and
people
are
like
really,
you
know
so,
but
I
I
think,
if
you
think
of
the
different
areas
I
covered
right,
I
talked
about
the
capabilities
to
be
able
to
predict
acid
filler
and
prevent
acid
failure,
and
if
you
look
at
some
of
those
examples
from
the
the
customers
that
I
was
talking
about
right,
the
one
in
automotive,
where
they've
been
able
to
reduce
line
stops
from
four
to
zero.
B
What
that
naturally
meant
was
that
the
expense
of
having
the
equipment
breakdown
of
having
to
go
and
pause
their
entire
production
operation
as
a
result
of
that
they've
been
able
to
remove
that
expense.
Now
we
have
good
examples
and
I
can
share
them
with
with
the
audience
afterwards
of
the
actual,
as
you
mentioned
dollars
and
cents
or
time
in
ours,
but
saving
in
time
and
saving
the
use
of
people
naturally
lends
itself
to
reducing
the
dollars
and
cents
associated
with
maintenance
right.
So
we
are
seeing
with
all
of
the
technologies.
B
So
I
think
I'll
I
can
dig
out
if
you
want
I'll,
take
out
some
examples
and
send
them
through
to
anybody
who
wants,
but
anything
where
we're
able
to
prevent
unnecessary
working
and
unnecessary
equipment
downtime,
which
is
really
what
this
is
all
about
in
terms
of
understanding
and
getting
feedback
from
the
assets.
That's
where
we're
seeing
the
money
savings
and
the
time
savings.
C
I
have
another
question:
if
you
have
the
time
to
take
it,
of
course,
so
the
other
side
of
the
spectrum.
So
right
now
we
were
talking
about
the
machines
that
are
operating
already.
The
other
side
of
the
spectrum
is
machines
that
are
not
operating.
They
are
idle.
So,
as
as
the
global
cio
for
wellspawn
in
my
earlier
life,
I
was
faced
with
a
situation
where
you
know
there
are
forklifts,
especially
was
was
a
use
case.
C
There
are
forklifts
lying
in
various
warehouses,
spread
over
over
campus
and
while
one
of
the
warehouses
is
struggling
to
meet
the
demand
because
there
are
fewer
forklifts
than
they
need,
while
there
is
another,
you
know
another
warehouse,
that's
about
400,
500
meters
away,
which
has
excess
capacity
of
those
pockets,
and
this
this
earlier
warehouse
would,
you
know,
start
either
rent
or
ask
for
a
capex
to
be
done.
How
can
we,
possibly
you
know,
bridge
this
demand
using
some
of
these
iot
capabilities?
B
B
We
can
capture
information
about
its
location,
about
when
it's
been
used,
if
it's
being
used
etc,
and
we
can
also
feed
that
not
just
into
that
particular
site,
but
into
a
global
view
and
a
global
view
or
a
regional
view
allows
you
to
see
equipment,
availability
across
many
and
varied
locations.
You
know
we.
We
saw
this,
for
example,
even
in
the
context
of
pandemic
vaccines.
Right,
where
were
the
vaccines
were
they
available?
Could
it
be
transported?
B
What
was
the
logistics
required
for
that,
and
all
of
that
is
similar
to
what
you're
talking
about
this
is
our
idle
equipment
that
I
can
leverage
without
the
need
to
actually
invest
in
the
site,
I'm
in,
but
actually
get
it
from
another
location.
But
that
of
course,
then
brings
the
context
of.
Is
it
logistically
okay
to
take
that
equipment
from
point
a
to
point
b?
Is
it
going
to
be
able
to
be
used?
Is
it
in
a
good
operating
state
because
it's
been
lying
idle
and
all
of
that
visibility
of
information?
C
A
So
there
is
a
question
on
the
chat
that
has
come
to
me,
and
this
is
something
that
that
pops
up
every
single
time
when
we
are
talking
about
iot
or
industry
4.0.
The
question
is:
will
one
partner,
for
example,
will
sap
be
able
to?
You
know,
provide
all
the
software
necessary
for
a
particular
customer
to
implement
industry
four
dot
com
strategy,
and-
and
maybe
you
know,
I
would
extend
the
question
to
say
that
you
know
it
is
not
just
software.
A
B
B
You
know:
we've
got
partnerships
with
people
like
hcl
box,
restaurants,
etc
in
terms
of
venture
production
and
being
able
to
make
those
available.
We
also
have
partnerships
with
startups.
I
ran
an
event
a
few
weeks
ago,
where
I
had
tag
and
track.
One
of
our
sap.io
startups
on
the
panel
and
tag
and
track
allows
us
to
make
sure
that
smart
tags
can
be
associated
with
equipment
in
their
particular
example.
B
The
smart
tag
is
able
to
monitor
the
temperature
of
the
box
that
it
is
attached
to
and
that
information
is
able
to
be
pushed
up
and
made
available
through
the
network
and
fed
into
the
scp
analytics
engine
so
that
we're
able
to
monitor
that
actual
item
in
terms
of
not
just
where
it
is
and
what
it
is,
but
also
the
temperature
of
the
atom.
So
it
is
really
important
that
the
ecosystem
and
scp's
collaborative
business
networks
are
really
important
in
that
regard.
B
In
terms
of
implementing
that's
another,
obviously
another
challenge:
we
have
the
ability
to
understand
the
industries,
understand
the
solutions
and
the
technologies,
but
sap's
capability
with
its
own
services
team
to
do
that
is
one
thing,
but
also
we
have
delivery
partners.
We
have
sis,
we
have
other
partners
who
are
able
to
help
us
in
terms
of
delivering
specific
aspects
of
our
solution.
A
I
remember
maliki.
There
was
this
post
somewhere
that
I
read
that
in
norway
there
was
this
bridge
which,
which
was
actually
sending
signals,
saying
that
you
know
it
is
no
longer
safe
to
be
put
into
use
because
they
had
a
digital
twin
capability
that
was
enabled
by
the
construct
by
people
by
the
organization
that
was
supposed
to
maintain
it.
Would
you
by
any
chance?
A
I
know
I'm
in
a
spot
a
little
bit
here,
but
if
you
know
the
case
study,
I
think
it
will
be
a
brilliant
case
study
to
talk
about
simply
because
of
the
fact
that
in
all
having
these
iot
sensors
in
the
bridge
and
having
a
digital
twin
of
those
sensors
in
application
actually
ended
up
saving
lives.
And
I
don't
think
there
can
be
a
bigger
roi
than
that,
in
my
opinion.
B
Whether
or
not
you
can
monitor
the
pattern
of
the
driver
in
terms
of
speeding
up,
slowing
down,
etc,
etc,
erratic
driving
and
that
example,
and
our
partnership
with
that
company.
It
was
all
done
through
one
of
our
big
partners
in
japan,
and
that
was
the
direct
outcome
of
there.
Having
been
an
incident
in
japan
where
a
school
bus
had
crashed,
unfortunately,
killing
the
driver
and
14
students
and
all
because
it
was
trace
clear
that
the
driver
was
actually
very
tired
and
had
overworked
a
shift
etc.
B
So
I
think
there
are
lots
of
those
examples
out
there.
There
are
examples
of
that
almost
just
in
time.
It
would
have
been
great
if
that
company
had
been
able
to
monitor
and
identify
that
the
driver
was
drowsy
and
therefore
avoid
that
accident
and
like
the
example
from
norway,
the
ability
to
be
able
to
predict
potential
failure
and
to
be
able
to
therefore
stop
something
passing
over
that
bridge
and
and
make
sure
that
it
gets
fixed
before
the
incident
happens.
But
you
know
without
a
doubt,
that
is
a
major
benefit
of
these
solutions.
B
B
These
are
the
real
examples
of
what
we're
talking
about
is
making
sure
that
you
are
able
to
almost
foresee
where
there
might
be
an
issue,
whether
that's
down
in
time
in
a
production
site.
Whether
that's
you
know
the
potential
for
someone
who
may
cause
an
accident
or
whether
that's
a
bridge
about
to
fall
down
or
whether
that's
monitoring
the
goods
that
are
going
into
the
food
chain
and
being
able
to
make
sure
that
nothing
bad
is
going
in.
B
We've
been
another
example
of
of
of
being
able
to
actually
determine
the
particles
in
the
atmosphere
by
you
know
we
have.
We
have
an
example
in
our
singapore
experience
center
of
a
machine
that
is
able
to
determine
the
types
of
particles
in
the
atmosphere
and
based
on
that
able
to,
for
example,
identify
whether
or
not
there
is
a
gas
in
the
air
that
shouldn't
be
there
and
be
able
to
trigger
alerts.
B
A
Oh
very
well
said
I
I
remember
was
at
one
point
in
time.
I
don't
know
whether
he's
still
but
at
one
of
indus
conferences,
he
shared
the
story
of
how
ashok
leyland
actually
was
able
to.
You
know,
leverage
iot,
to
create
new
business
models.
Instead
of
selling
trucks,
they
were
able
to
sell
mileage
and
he
created
a
new
business
model
for
the
organization
based
on
sensor
data
coming
in
from
from
some
of
the
sensors
that
they
put
in
yeah.
B
Also,
if
you
think
of
this
sorry
across
you
think
of
the
sustainability
examples
right
there
are,
there
are
companies
out
there.
We
we're
working
with
some
of
the
large
manufacturers
in
the
fmcg
space
and
they're
they're
using
equipment.
You
know
like,
for
example,
take
equipment,
that's
in
our
home,
like
air
conditioning
like
a
washing
machine,
etc,
like
a
vacuum
cleaner
and
they're,
able
to
equip
that
equipment
with
sensors
and
push
data
back
as
to
the
usage
of
that
equipment
and
therefore
offer
different
models.
B
So
if
you
don't
own
the
equipment
but
you're
in
effect
renting
the
equipment
in
an
as
a
service
model,
then
the
company
that
made
that
equipment
is
able
to
actually
monitor
the
parts
and
they're
able
to
track
how
they'll
be
able
to
bring
that
equipment
back,
disassemble
it
and
use
those
parts
in
a
much
more
sustainable
circular
fashion.
So
all
of
this,
this
acid
intelligence
capturing
the
asset
intelligence,
information
tracking
that
information,
either
from
a
preventative
or
from
a
circular
sustainable
nature,
is
really
important.
A
Ultimately,
all
these
use
cases.
Ultimately,
you
know
the
value
that
you
can
derive
from
derived
from
all
of
these
technologies
also
depends
a
lot
on
your
understanding
of
the
business
itself
and
where
does
the
business
actually
drive
or
drive
value
for
its
customers?
And
if
you
are
able
to
imagine
better
ways
of
driving
the
same
value,
the
chances
of
deploying
some
of
these
technologies
to
a
much
more
significant.
C
A
B
That's
something
that
happened.
I
think
you
have
to
differentiate
between
creativity
and
innovation
as
well.
You
know
because
some
people
are
creative
and
some
people
are
innovative
and
if
you
can
manage
to
get
those
people
all
in
a
room
together,
you
tend
to
get
that
to
work
and-
and
we
obviously
have
creative
and
innovative
people
within
sap.
But
another
part
of
our
approach
is
to
bring
in
people
from
other
organizations.
B
That's
where
our
partnerships
make
a
lot
of
difference,
people
who
are
effectively
bringing
in
understanding
of
different
industries,
understanding
of
different
aspects
and
the
importance
of
those
and
being
able
to
come
in
and
help
to
design
our
products
and
our
capabilities
better,
and
that's
certainly
a
few
products.
We've
delivered
from
a
sustainability
point
of
view,
product
food,
print
management,
responsible
design
and
production.
Those
types
of
products
are
helping
us
to
make
sure
that
we're
designing
into
the
asset
the
sustainability
from
the
very
start.
A
C
C
B
Your
new
one
again
thanks
to
that
is
this-
is
here
again
another
great
question
and
a
very
current
question
as
it
were.
I
think
there
are
several
aspects
to
that:
okay,
so
everything
again,
just
just
like
the
question
earlier
about
you
know:
how
do
I
save
money?
How
do
I
save
time?
How
do
I
avoid
unnecessary
work?
These
are.
These
are
all
issues
that
are
enabled
by
iot,
by
intelligent
assets
and
by
our
overall
as
the
performance,
management,
capabilities,
etc,
but
actually
think
about
how
do
I
avoid
unnecessary
travel?
B
How
do
I
make
sure
that
I'm
aware
of
the
exact
raw
materials
I'm
using?
How
do
I
monitor
the
materials
that
are
being
used
and
what
their
product
footprint
is?
How
do
I
reduce
my
product
footprint
and
adjust
that
design
of
my
product
accordingly,
so
by
having
all
the
information
available
and
being
able
to
analyze
those
insights,
we're
definitely
able
to
affect
that
sustainability
target
right?
B
All
of
these
are,
in
effect,
lending
themselves
to
that
carbon
data
pattern,
as
it
were
that
we're
able
to
analyze
and
if
we
think
of
it
in
along
the
lines
of
being
able
to
actually
monitor
the
energy,
that's
being
produced
the
water
that's
being
used.
All
of
these
are
inputs
to
the
assets
that
we
are
able
to
tag
and
monitor
through
the
industry,
four
zero
capability
and
industry.
B
Four
zero
also
covers
other
areas
like
you
know,
emerging
technologies
like
blockchain
and
those
capabilities,
and-
and
we
now
have
blockchain,
I'm
sure
people
are
embedded
into
our
token
capability
for
companies
that
are
going
to
have
to
do
a
reporting
of
their
carbon
data
footprint.
We're
able
to
provide
smart
contracts
embedded
into
the
solutions
so
and
also
we're
able
to
look
with
our
responsible
design
and
production,
we're
able
to
design
in
sustainability
from
the
very
start.
B
Our
rdp
product
is
really
helping
our
digital
supply
chain,
customers
to
identify
the
use
of
single-use
plastics
and
actually
design
them
out
of
the
equation,
and
in
europe,
for
example,
where
they've
introduced
plastic
taxes.
This
is
something
that's
really
important
for
them
and,
as
we
see
that
develop
throughout
the
rest
of
the
world,
there
will
be
an
important
need
for
our
customers
here
to
monitor
their
carbon
footprint,
but
also
the
scope
3
emissions
that
are
coming
from
their
supplier
network.
So
we're
able
to
keep
an
eye
on
all
of
that
interesting
information
as
well.
B
C
Thanks
thanks
malaki
for
that
insight,
continuing
with
the
with
the
sustainability
piece,
normally
people
think
of
sustainability
as
how
much
carbon
footprint
I
am
producing,
but
you
also
brought
in
the
maintenance
aspect
of
it.
Is
there
some
way
we
will
be
able
to
maybe
not
now,
maybe
in
the
future
or
somehow
you
know
get
to
the
details
of
every
single
piece
of
impact
that
we
are
making
on
these
on
the
environment,
meaning-
and
you
just
spoke
about
the
network
as
well
right.
C
So
while
I
am
controlling
or
monitoring
what
is
happening
within
my
manufacturing
facility
or
my
business,
but
I
should
also
be
able
to
look
at
how
am
I
impacting
the
other
aspects
of
the
network
that
I
am
working
in
for
an
example,
my
executives
flying
out
to
certain
locations?
What
is
the
carbon
footprint
there
and
how
do
I
then
reduce
that?
Is
that
something
that
we
can
bring
in
you
know
in
a
before,
after
kind
of
a
situation.
F
C
B
Monitor
all
those
aspects
already
today,
right,
sap,
sustainability
control
tower,
for
example,
allows
us
to
monitor
anything
and
everything
that
touches
the
green
line.
Okay,
so
we're
able
to
bring
in
all
of
that
information,
but
I
think
the
important
aspect
here
is
depending
on
the
industry
you're
in
okay,
if
we
take
something
like
retail
or
fmcg,
like
I
talked
about,
our
customers
will
want
to
be
able
to
purchase
sustainable
products.
B
They'll
want
to
be
able
to
see
that
visibility
and
transparency
of
the
full
digital
supply
chain
of
the
product
when
they
pick
it
up
or
before
they
buy
it
right.
So
that's
information
that
will
need
to
be
available
at
the
at
the
point
of
consumption
by
the
consumer
right
when
products
are
being
end
of
life,
we'll
need
to
have
different
ways
to
accommodate
the
demand
in
the
forecast.
B
You
know
how
do
we
know
that
a
product
is
going
to
safely
go
to
end
of
life?
Is
it
going
to
landfill,
which
is
causing
sustainable
impact,
or
can
we
strip
it
down,
and
that
brings
it
back
to
the
design
building
it
in
from
the
start,
componentized
design
of
a
product
so
that
we're
able
to
use
all
the
components
as
a
product
but
all
the
pieces
in
order
to
be
able
to
fit
into
our
forecasting
and
demand
life
cycle,
then
the
people
who
are
the
people
that
are
being
touched
by
the
process?
B
We
at
sap
are
very
proud
of
the
fact
that
our
people
are
driving
a
zero
emissions
strategy
for
us
and
we
hope
to
be
very
much
ahead
of
our
targets
on
that
and
then,
if
you
look
at
our
other
aspects
of
zero
emissions
and
zero
waste,
but
also
zero
inequality
being
able
to
monitor
all
of
the
touch
points
who
are
the
suppliers?
Are
those
suppliers
being
treated
fairly?
F
C
A
Any
questions
from
any
of
the
participants
around
whatever
you
heard
or
if
there
is
a
particular
situation
or
if
there
is
a
iot
project
that
you
are
running
in
your
organization
and
you
would
like
to
share
what
you
are
doing.
Maybe
this
is
also
a
good
platform
for
you
to
share
and
let's
see
what
others
have
to
say
or
ask
about
that
anyone
you
can
either
raise
your
hand
or
unmute
yourself
and
speak.
A
While
we
wait
maliki
one
last
question
for
my,
I
know
I've
been
asking
a
lot
of
questions,
but
one
last
question
from
my
side
at
least
out
of
all
the
different
projects
that
you've
been
involved
in
or
you've
seen
or
you've
read
or
read
about
or
you've.
You
know
seen
someone
go
through
from
an
specifically
from
an
intelligent
assets
perspective.
A
B
Wow,
it's
quite
a
lot
of
projects
mukesh,
so
I
I
think,
look
I
sometimes
get
excited
by
just
the
simple
things.
So
I
I
like
technology
a
lot.
I
like
the
fact
that
we've
got
the
capability
now
for
people
who
are
remote
from
an
asset
to
be
able
to
be
guided.
I
remember
an
example.
Many
moons
ago,
when
I
was
working
in
the
uk,
there
was
a
an
oil
and
gas
company,
and
the
oil
and
gas
company
had
a
failure
on
a
remote
oil
rig
that
happened
on
christmas
eve.
B
I
believe
it
was
and
they
they
had
to
send
an
engineer
to
the
location
in
order
to
help
fix
the
asset.
I
did
number
one
identify
what
was
wrong
with
the
asset
number
two
fix
it
and,
and
they
I
think
at
the
time
that
their
the
ranking
was
that
they
they
were
losing
like
a
million
dollars
an
hour
in
terms
of
production
losses
from
that
oil
and
gas
plant
right,
and
that
was
not
withstanding.
B
So,
today
I
was
on
a
on
a
call
this
week
where
our
partner
team
viewer
was
presenting
remote,
assist
and
remote
assist.
As
I
mentioned
during
the
pandemic,
there
has
been
this
problem
where
people
number
one
people
couldn't
go
to
site,
never
mind
the
fact
that
engineers
experienced
special
engineers
would
have
had
to
be
flow
into
site
to
work
on
equipment
with
the
teamviewer
capability
now
integrated
to
our
intelligent
asset
service
management
solutions,
both
our
field
service
management
solution
and
our
asset
management
solution.
B
We
are
able
to
actually
put
in
a
wearable
headset
that
responds
to
both
voice
and
vision.
We're
able
to
put
guidance
that
allows
the
engineer,
whilst
working
on
the
equipment,
to
scan
the
equipment
to
be
popped
up
with
the
instructions
about
the
equipment,
to
pull
out
a
three-dimensional
view
of
the
equipment
and
work
on
it
and
tweak
it.
The
digital
twin
in
their
hand
as
it
were,
but
also-
and
according
back
to
that
example,
I
mentioned
earlier.
B
If
they
have
any
problems
and
they
need
the
experience
engineer,
they
launch
up
a
team's
call
on
the
device
and
the
remote
assist
goes
gets
the
experienced
engineer.
They
can
choose
them
from
a
list.
They
know
their
skills
and
they're
able
to
bring
that
individual
into
a
team's
call,
show
them
through
their
vision,
goggles
the
actual
issue
and
walk
the
walk
through
how
to
fix
it,
and
that
to
me
is
a
very
exciting
use
of
technology
and
it's
an
exciting
use
of
the
technology.
A
Think
about
it
and
then
think
about
how
much
does
it
cost
for
you
to
be
able
to
predict-
and
you
know,
stop
from
stop
that
equipment
from
getting
into
that
situation
every
single
time,
and
you
will
find
that
the
technology
that
you
deploy
in
order
for
you
to
you
know,
predict
and
maintain
and
continuously
be
used
of.
The
asset
is
way
way
less
when
it
compared
to
the
losses
that
your
organization
might
face.