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Description
The successful adoption of Industry 4.0/IIoT means embracing modern technologies and security concepts such as cloud, edge, IoT, big data analytics, wearables, and hyper-automation. This means you need a well-defined and purposeful reference architecture and a technology foundation built on a unified digital platform that can bring contextual data across manufacturing operations and business processes.
With this context, in association with SAP and Dun & Bradstreet, we propose a series of deep dive sessions to explore all the different aspects of Industry 4.NOW and how it can impact your business.
We have planned 5 deep dive sessions for you, covering the different facets of the Industry 4.Now’s relevance for your business.
• Industry 4.Now: The what, the Why and the How?
• Intelligent Assets for productivity, efficiency and RoI
• New business paradigms with Intelligent products
• Health and safety of your Human Capital
• Intelligent Factory with connected assets and automated processes
A
A
At
my
side,
because
the
gentleman
outside
have
decided
to
do
the
mosquito
spraying,
just
as
I
begin
to
speak,
but
hopefully
you
don't
hear
that
it's
just
bothering
me,
but
hopefully
it
will
be
bothering
you.
So
let's
go
let's
get
into
this,
so
understanding,
industry
4-0
is
it's
quite
interesting
because
everybody
talks
about
it
and
everybody
thinks
they
know
what
it
is.
A
But
it's
been
around
for
a
very
long
time
well
over
ten
years,
in
fact-
and
I
think
we
all
think
of
industry-
four
zero
as
something
relatively
new
and
not
necessarily
something
that
people
are
doing
today,
but
I
think
it's
important
that
we
try
and
understand
a
little
bit
around
the
background
of
it.
What
is
it
you
know
why,
or
why
do
we
think
it's
relevant
now
and
how
can
we
go
about
embedding
it
inside
of
our
organizations
so
as
we
get
into
that
first
off,
my
name
is
maliki
martin.
A
Thank
you,
mukesh
again
for
the
introduction
and
for
the
opportunity
to
speak
here
today.
I
am
part
of
the
global
center
of
excellence
for
digital
society
at
sdp,
and
I
actually
am
head
of
industry
for
zero
for
at
asia,
pacific
japan.
So
I
work
very
closely
with
everyone
here:
our
clients,
our
prospects
and
also
all
of
our
partners,
and
anybody
that
that
really
wants
to
understand
industry.
A
So
we've
all
gone
through
a
very,
very
impactful
couple
of
years.
I'm
not
sure
if
you've
ever
seen
this
quotation
from
warren
buffett,
it's
actually
from
2009
during
the
large
financial
crash.
That
happened
then,
and
he
said
only
when
the
tide
goes
out.
Do
you
discover
who's
swimming
naked
and
I
think,
potentially,
over
the
last
few
years,
we've
all
been
guilty
of
getting
caught
napping
as
it
were.
A
We
talk
about
agility,
the
ability
to
understand
how
to
react
to
market
dynamics,
productivity
being
able
to
deliver
high
quality,
mass-produced
or
mid-to-order
products,
faster
connectivity
and
that's
not
just
connected
to
the
systems,
but
that's
also
the
connectivity
of
partnerships
of
the
ecosystem
and
collaboration
and,
as
I
mentioned
earlier,
sustainability.
How
can
we
do
all
of
this?
Whilst
our
environments
and
the
impact
that
this
is
having
on
so,
why
is
industry
40
relevant
now?
A
We're
able
to
look
at
the
dramatic
changes
there
have
been
in
the
workforce
over
the
last
few
years,
the
extreme
disruptions
that
have
happened
and
the
resultant
volatility
of
the
global
supply
chain
and
also
bringing
in
consideration
of
multi-level
sustainability,
sustainability
at
every
touch
point
and
industry
4-0
sits
firmly
at
the
center
industry.
Zero
impacts,
the
entire
business
such
as
your
global
business
network.
It
touches
your
customers
and
your
employees
with
new
experiences,
and
it
helps
to
drive
an
intelligent
enterprise
all
the
way,
from
design
to
operate
or
consume.
A
As
we
say,
within
both
the
discrete
and
the
process
industries
in
which
we
work,
it
is
looking
at
market
dynamics
being
able
to
consider
business
performance.
Customer
experience
being
able
to
consider
in
device
individualized
products
and
services.
How
do
we
get
that
speed
to
market?
How
do
we
gain
the
trust
of
our
customers,
but
also?
How
do
we
build
product
excellence
into
everything
we
do,
including
innovation,
sustainability
and
quality,
and
then
we
will
touch
all
sorts
of
different
technology
enablers
in
order
to
try
and
do
that.
A
So
what
is
industry?
Four
zero?
I'm
quite
sure
that
all
of
you
are
aware
of
the
different
industrial
revolutions
that
have
happened
over
time,
industry
1.0,
where
steam
power
changed
the
way
we
operate,
then
2.0,
where
mass
production
and
the
assembly
line
was
the
focus
coming
through
to
computers
and
automation
at
the
beginning
of
the
1970s.
A
But
today
the
fourth
industrial
revolution
is
really
a
digital
revolution.
Intelligent
digital
technologies,
as
I
call
them
artificial
intelligence,
machine
learning,
the
internet
of
things
advanced,
analytics,
robotics,
blockchain
ar
vr.
All
of
these
intelligent
technologies
are
helping
us
to
consider
the
power
to
reinvent
how
we
do
work
and
how
we
do
business
and
how
companies
engage
with
their
customers
all
around
the
world.
A
And
how
do
we
do
that?
Well,
with
industry
40
by
sap
we
leverage
intelligent
enterprise
technologies
and
applications.
We
consider
the
business
network,
we
consider
the
customers
and
also
the
employee
experience
to
deliver
the
intelligent,
sustainable
enterprise
all
the
way
from
the
front
office
through
the
supply
chain
to
the
bank
office.
A
We
look
at
this
in
particular
along
four
areas,
which
you'll
hear
a
lot
more
about
throughout
the
rest
of
this
event:
series
intelligent
products,
intelligent
factories,
intelligent
assets
and
empowered
people,
and
we
consider
everything
in
that
regard
sustainability,
the
customer
experience
how
it
integrates
to
our
solutions
and
other
solutions
to
our
industry
client.
We
consider
the
new
technologies,
such
as
autonomous
systems,
age
computing
and
5g,
both
private
and
public,
but
also
taking
big
data
and
turning
it
into
true
insights.
A
Digital
twins
is
another
mechanism
by
which
we
can
do
this.
These
are
physical
machines,
represented
in
the
virtual
space
and
really
the
information
that
we
can
gather
between
the
virtual
and
the
real
machine
allows
us
to
do
water
analysis,
predictive
analysis
to
be
able
to
be
much
more
prescriptive
about
how
we
maintain
and
increase
the
longevity
of
assets.
A
And,
as
I
mentioned,
we
can
do
this
at
the
age
we
can
process
and
store
and
analyze
the
sensor
data
closer
to
the
source
of
the
data,
whilst
also
enabling
faster
decision
making
and
bill
allowing
us
to
overcome
those
issues
that
we
have
with
intermittent
connectivity,
etc.
So
we're
able
to
drive
much
more
intelligently.
A
So
really
imagine
if
we
had
a
digital
thread
of
data
that
ties
everything
together.
Imagine
if
every
manufacturing
company
was
able
to
consider
their
design,
the
full
service
life
cycle
and
literally
drive
a
digital
thread
of
information
that
integrates
all
of
these
just
different
aspects
in
real
life,
feedback
performance
and
data,
driven
decisions
on
the
product
all
the
way
from
the
cradle
to
the
grave
and
in
terms
of
sustainability,
not
even
the
grave,
but
to
be
able
to
bring
that
component
back
through
reverse
logistics.
A
A
A
C
Thank
you
so
much
malaki
for
your
quick
setting
of
the
contest.
So
before
we
move
to
the
panel,
I
think
let's
just
quickly
watch
a
short
video
clip
and
then
we'll
get
to
the
panel
as
well.
So
just
let
me
know
once
you
are
able
to
see
the
video
and
hear
the
audio
that
will
be
great
and
someone
can
confirm.
D
D
At
the
same
time,
digitization,
individualization
and
decarbonization
of
products
and
processes
are
value
drivers
for
the
discrete
industry
and
industry
4.0.
We
demonstrate
our
ideal
design
to
operate
process
using
the
example
of
an
intelligent,
double
seat
valve.
We
go
into
detail,
focus
on
the
many
possibilities
offered
by
a
holistic
approach
and
the
added
value
it
creates.
D
We
make
each
individual
process
step
tangible
as
part
of
the
big
picture.
How
can
individualized
products
be
brought
to
market
faster
in
the
design
phase?
We
see
how
product
adaptations
affect
other
parameters
such
as
costs,
digital
3d
models
of
our
valve
can
be
used
to
visualize
and
simulate
changes
to
the
design.
D
D
How
can
planning
support
all
areas
of
the
supply
chain
in
near
real
time
here?
It
is
illustrated
how
easily
we
can
incorporate
long
and
short-term
market
movements
into
our
scenario.
This
makes
forecasts
more
accurate
and
the
insights
more
meaningful,
because
optimized
planning
is
the
ideal
basis
for
all
other
process
steps.
D
D
How
can
down
times
be
avoided?
We
prevent
problems
with
condition,
monitoring
simulations
and
predictive
maintenance.
This
we
achieve
by
integrating
augmented
reality
and
the
conclusions
we
draw
from
all
available
automation
and
process
data
and
insights
over
the
entire
product
life
cycle
of
the
double
c
valve.
Afterwards.
We
use
this
information
for
the
next
designed
to
operate
cycle
at
the
heart
of
all
those
intelligent,
end-to-end
processes
is
sap
s,
4hana
digital
supply
chain.
D
The
solutions
incorporate
and
realize
the
opportunities
presented
by
digital
twins,
artificial
intelligence,
the
internet
of
things,
machine
learning,
blockchain
and
analytics.
The
result
is
beneficial
not
just
for
manufacturers,
but
also
for
operators.
All
involved
parties
gain
detailed
insights
into
every
relevant
process.
Moreover,
combining
operational
and
experienced
data
offers
huge
potential.
D
C
So,
let's
move
to
the
next
phase
of
the
session
today,
which
is
a
panel
discussion
that
we're
planning
to
host
the
panel
will
be
moderated
by
malaki.
I've
already
introduced
maliki.
So
I'll,
not
repeat
the
introduction.
Thank
you
so
much
maliki
for
agreeing
to
moderate
the
panel.
So
on
the
panel
we
have
some
very
eminent
people
and
it
is
my
privilege
to
introduce
them.
C
So
he
has
more
than
two
decades
of
experience
in
driving
business
in
digital
transformation
and
enabling
industry
4.0
by
leveraging
emerging
technologies
and
executing
strong
cyber
security
programs
for
the
enterprises.
Welcome
friends
thanks
for
joining
us
next
up,
we
have
mr
ajay
chava,
he's
head
of
it
and
ciso
for
sterlite
technologies.
Limited
ajay
has
over
20
years
of
industry
experience
across
manufacturing
and
retail
ecommerce
and
software
product
companies.
He
loves
enabling
businesses
through
secure
technology,
solutions
to
current
and
future
business
problems
and
challenges
and
challenges.
C
The
stereoscope
his
experience
in
building
high
performance,
distributed
teams
in
indian
global
companies
in
indian
startups,
setting
up
extended
engineering
arm
for
u.s
startups,
high-tech
industries
and
I.t
service
companies
thanks
a
lot
and
welcome
so
next
up
we
have
samyamdev
mukherjee
mr
samyadhi
mukherjee.
He
is
vice
president
planning
and
control
for
united
viewers
limited.
C
He
he's
a
chartered
and
cost
accountant
with
experience
in
fmcg
telecom
and
engineering.
He's
also
worked
for
ericsson,
phillips,
abb,
itc
and
ici
limited
he's
been
nominated
by
his
employer
to
attend
leadership.
Executive
programs
conducted
in
academic
institutions,
including
boston
university.
I
am
an
ambabad
and
isp
hyderabad
he's
been
awarded
several
accolades
by
leading
professional
bodies,
he's
been
five
times:
cfo
role
of
honor
winner
by
cfo,
india,
including
league
of
excellence,
winner
of
cfo
power
list,
2020
and
film,
think
innovation
contest
conducted
by
deloitte
india
welcome
mr
samantha
samya
thanks
for
joining
us.
C
So
next
up
we
have
mr
vikram
ozar
director
finance
for
general
worldwide
limited.
Mr
oza
is
a
qualified
charter
accountant
having
post
qualification
experience
of
more
than
three
decades
in
the
field
of
accounting,
accountancy
auditing,
tax
laws
and
finance.
He
has
worked
in
various
diversified
sectors
such
as
paper
mill,
ice
cream,
industry,
engineering,
industry,
pharmaceutical
textile
and
other
industries,
so
he's
presently
engaged
with
anthem
based
general
group
of
companies
who
are
considered
to
be
one
of
the
top
textile
groups
in
the
country.
C
C
So
he's
been
part
of
a
turnaround
of
havels
india
and
hpl
electric
and
power
limited
and
fuel
20
crore
base
of
jaguar
to
a
future
1000
crore
lighting
industry
with
state-of-the-art
production
units
based
at
more
than
11
countries
with
multi-talented
team
he's
a
strong,
14-year
experience
base
of
philips
lighting
in
multiple
areas.
He
now
leads
everyday
industries
as
senior
vice
president
at
sbu
head.
Thank
you
so
much
for
joining
us,
mr
muay
chamber.
Welcome
the
next
up.
We
have
mr
and
mohanty
president
for
pity.
C
Light
industries
limited
mr
ram
narayan
mohanty
has
40
years
of
experience
in
controls,
instrumentation
projects,
I.t
general
management,
strategic
corporate
planning,
innovation
and
process
development
at
peta,
light
industries
and
zwaria
agro
and
fertilizers
corporation
of
india.
He
has
eight
international
or
national
publications
on
energy
conservation,
advanced
control
and
optimization
thanks
for
joining
us.
Mr
mohanty
welcome
to
the
following
the
last,
but
not
the
least,
welcome
mr
ankur
vedi
associated
vice
president.
At
mommy
limited.
He
has
more
than
two
decades
of
leadership.
C
Experience
in
diverse
aspects
of
operations,
management
and
supply
chain
management
in
globally
renowned
organizations,
an
alumnus
of
the
nda
he's
a
soldier
at
heart
after
losing
a
career
of
his
dreams.
Due
to
an
injury,
he
came
back
stronger,
like
a
true
soldier
morphed
himself
into
a
successful
corporate
professional
he's
an.
C
Fai
and
an
alumni
of
mdp
of
imhabad
a
certified
assessor
for
tata
business
excellence,
model,
tbem
and
indian
manufacturing
excellence
awards.
Imea
he's
got
extensive
domain
knowledge
of
global
ethical,
environmental,
health
and
safety
standards,
food
safety,
quality
management
and
other
standards
like
eti,
organic
fat
rate,
etc,
is
currently
also
pursuing
a
doctorate
in
management
and
a
degree
in
law.
Welcome
stronghold
thanks
for
joining
us
with
that.
I
will
hand
it
over
to
you
malaki
for
moderating
the
panel.
A
I
get
absolutely
amazed
every
time
I
see
the
quality
of
the
people
that
I
am
playing
with
here,
because
certainly
it
is
my
pleasure
to
be
here
and
to
be
part
of
this
panel
and
to
be
able
to
ask
some
of
the
questions
that
I
have
lined
up
and
that
we
have
talked
about
before
the
event.
So
just
before
we
get
into
the
panel,
I
know
you've
just
watched
what
might
have
seemed
like
a
long
video,
but
something
that's
really
important
about
that.
A
Video
is
that
it
shows
how
industry
4-0
everything
and,
as
I
mentioned
in
my
presentation,
industry
4
touches
every
aspect
of
the
supply
chain
and
touches
every
aspect
of
what
we're
doing
here
today
and,
as
I
mentioned,
sustainability
has
become
a
key
area
as
well.
So
I
want
to
try
and
focus
the
questions
around
individual
zero.
Obviously,
some
of
the
technologies
we
made
reference
to,
but
also
to
bring
in
some
of
that
sustainability
angle.
A
I
am
going
to
ask
the
questions
in
the
order
we
prepared
them
and
hopefully
I'll
get
really
good
insights
from
the
panelists.
I'm
expecting
that,
but
also
as
we
go
through
this,
we
may
find
that
other
questions
pop
up
and
I
would
very
much
like
you
to
put
any
additional
questions
into
the
chat
as
well
so
that
we
can
handle
those
at
the
end.
So
I'm
going
to
kick
off
with
mr
prince
and
really,
if
we
think
about
what
I
described
as
industry,
4
0,
we
think
about
the
technologies
and
the
capabilities.
F
Malaki,
thank
you
good
morning.
Everyone,
the
on
the
question
of
industry
4.0.
There
are
so
many
definitions
now
available
to
me.
I
just
like
to
apply
it
to
the
industry
that
I'm
a
part
of
right
now.
So
to
me,
industry
4.0
is
the
digital
transformation
of
manufacturing
and
production,
specific
processes
related
industries
for
us
and
how
we
create
value
out
of
this
new
framework.
F
So
when
we
approach
anything,
the
the
philosophy
that
I
follow
is
typically
you
know.
Is
there
a
best
practice?
Is
there
someone
something
that
we
can
learn
from?
Is
there
a
book
we
can
read?
Is
there
something
that
we
can
clean
off
and
then
we
try
to
apply
it
if
we
are
not
part
makers
and
pioneers
on
ourselves?
Many
of
these.
We
know
that
there
is
a
whole
lot
of
knowledge
and
and
and
wisdom
in
the
industry
as
well,
so
we
try
to
adopt
that.
F
So
from
that
perspective,
over
the
last
few
years,
industry
402
has
taken
on
that
shape
of
becoming
that
broad
vision
for
manufacturing
and
production
that
providing
a
a
base
framework
that
can
be
applied
across
all
of
these.
All
of
these
industries,
plus
giving
you
some
sort
of
a
reference
architecture
very.
F
F
So
it's
the
approach
that
we
need
to
take
is
also
a
little
different,
because
the
tool
will
not
solve
any
problem,
and
I
think,
probably
through
the
course
of
the
discussion
we
will
come
to
that.
But
now
we
are
looking
at
a
scenario
where
the
target
for
any
index
for
any
you
know
manufacturing
entities.
We
want
to
try
and
maximize
our
capacity.
F
We
want
to
make
sure
that,
at
the
end
of
the
day,
no
matter
what
happens
in
the
world,
if
you
have
an
install
capacity
base
of
this,
this
is
what
we
can
produce,
but
we
want
to
produce
that
on
as
to
the
max
as
possible,
and
that's
one
target
that
we
have.
Second
one
is
you
know.
Aligned
to
this
is
is
the
overall
efficiency?
F
F
You
need
you
need
data
to
be
coming
in
real
time
from
all
the
elements
that's
in
the
in
the
value
chain,
and
this
is
where
I
industry
402
actually
offers
insights
and
guidelines
into
how
we
can
actually
leverage
this.
So
when
he
is
trying
to
now
go
and
see,
there
is
data
in
our
erp
system,
but
there
is
also
data
with
people.
There
is
also
data
in
email.
There
is
data
which
is
probably
generated
through
processes
which
is
probably
not
captured.
Well,
there
are
data
in
other
systems.
F
F
A
Yeah,
no,
that's
that's
great.
I
mean,
as
with
all
industry,
four
questions,
there's
so
much
to
talk
about
and
you
drilled
into
all
of
the
key
topic
areas
there
in
particular,
highlighting
the
requirements
around
data.
Perhaps
mr
siam
dev.
Could
I
possibly
ask
you
for
your
opinion
on
what
is
industry
four,
zero
and
and
really
what's
the
benefit
of
deploying
these
new
age
technologies,
as
we
keep
calling.
G
Thank
you
malaki
for
asking
me
this
question.
I
would
try
to
address
this
in
context
of
the
function
which
I
represent,
finance
and
which
is
the
supporting
function
on
a
lighter
wind.
Actually,
you
feel
a
little
left
out
in
the
company
of
the
big
boys,
literally
speaking,
because
industry
4.0
is
all
about
manufacturing
and
all
about
downtime
reduction.
And
what
have
you?
G
Having
said
that,
from
the
functional
perspective,
when
I
see
from
the
functional
perspective,
I'm
just
not
restrictive
myself
to
finance
but
from
a
support
function
which
could
be
legal,
which
could
be,
I
t
which
could
be
also
hr
for
us.
It's
a
little
bit
of
a
double
one.
I'll
tell
you
why.
Typically
at
least
from
the
function
which
I
represent
in
our
thought
process,
we
are
more
binary,
however,
to
transplace
to
this
industry
4.0.
G
It
is
a
lot
of
in
the
realm
of
cognitive
technology,
and
I
tell
you
why
I'm
talking
about
it,
as
you
showed
in
your
presentation,
industry
3.0
was
all
about
transaction
processing
and
automation
of
transaction
processing.
But
to
me-
and
I
can
add
to
I
mean
you
can
agree
or
disagree
with
me:
industry
4.0
is
more
about
from
a
transaction
processing
to
an
ideation
level
and
why
I
say
this
is
again
in
context
of
the
function
which
I
represent:
finance.
Typically
our
thought
process.
G
There
is
a
lot
of
data
which
resides
outside
your
system
in
the
form
of
the
environmental
data,
and
nothing
could
be
more
pronounced
in
the
context
of
the
kovid
environment
which
all
of
us
have
gone
through.
Of
course,
that
was
our
first
brush
with
technology.
We
had
some
each
organization
had
a
planning
tool
and
to
that
with
our
ubiquitous
tool
of
excel,
which
has
survived
us
in
good
stead
for
so
many
centuries.
We
could
do
something,
but
then
what
we
realized
is.
This
is
only
the
tip
of
the
iceberg.
G
That
would
be
one
part,
the
the
second
part,
literally
speaking
on
the
hr
function,
I
think
the
entire
process
of
recruitment
to
retire
that
will
go
a
lot
of
changes,
while
the
transaction
processing
has
happened
to
a
certain
extent,
but
the
entire
process
of
recruiting
can
go
a
complete
shift
in
terms
of
iot
in
terms
of
ai
in
terms
of
understanding
the
body
language
in
terms
of
understanding
the
realities
of
the
candidates.
So
that
is
something
which
possibly,
which
we
have
not
done
in
the
past.
G
But
the
real
challenge
in
this
process
is:
how
do
you
actually
you
make
yourself
capable
to
be
a
party
in
this
forum,
because
that
is
not
something
which
the
support
function
as
professionals
which
we
have
done.
So
that's
a
lot
of
unlearning
to
be
done
as
well
as
learning
at
the
same
time.
So
that
would
be
my
limited
take
in
context
of
the
support
functions,
how
we
can
contribute
to
industry
4.0.
A
Yeah,
thank
you
very
much
for
that.
Actually,
I
think
we
are
all
guilty
in
the
technology
space
of
always
thinking
of
the
manufacturing
eggs
or
the
product
fix
or
whatever,
so
it's
nice
that
you
bring
it
back
into
that
context
around
the
support
function
and
maybe
later
when,
when
I
talk
a
little
bit
more
about
digital
transformation,
I'll
pull
you
into
to
help
understand
your
your
views
on
how
we
can
implement
digital
transformation
and
bring
that
to
the
fore,
but
coming
back
to
the
manufacturing.
A
H
Okay,
so
manufacturing
has
got
three
aspects
when
you
go
to
the
technical
aspects
of
manufacturing.
One
is
the
product
new
product
development,
then
the
core
manufacturing,
the
the
reaction
or
the
assembly
line
that
the
core
manufacturing
and,
of
course
the
supply
can
both
forward
and
backward
supply
chain.
H
H
It
can
be
called
rnd,
it
can
be
troubleshooting
and
so
the
new
product
development
for
the
for
the
process,
industry
or
the
for
the
discrete
manufacturing
industry.
They
are
little
different,
but
I
will
just
go
one
by
one.
So
I
come
from
the
process
industry.
Most
of
my
experiences
in
process
industry,
the
new
product
development
in
process
industry
is
revolutionized
by
what
is
called
computational
chemistry.
H
H
H
Activity
reduces
drastically
the
requirement
of
raw
materials
requirement
of
and
the
reduces
the
by-products
waste
and
takes
care
of
the
environment.
Basically,
the
manufacturing
this
new
product
development
by
the
new
technologies
has
been
very,
very
beneficial
now
coming
to
the
core
manufacturing,
where
the
iot
iiot
and
the
edge
computing.
B
H
D
H
But
with
the
artificial
intelligence
coming
in
and
the
cfd
has
gained
a
lot
of
popularity
and
usefulness
for
deciding
the
mixing
pattern,
reducing
the
time
to
produce
reducing
the
cycle
time.
These
are
big
benefits
which
have
gone
from
the
iiot
and
the
other
ai
machine
learning
has
been
very
useful
for
for
learning
online.
H
H
Process
industry
has
been
changed.
You
can
see
the
supply
chain
of
the
imagine
they
give
in
very
short
time.
You
see,
I
am
from
typical
industry
make
additives
we
make
supplies
earlier
suppose
we
are
doing
it
supply
in
15
days
now
by
combining
the
computational
chemistry
and
the
flow
chemistry
we
can
make
this
manufacturing
at
the
point
of
use.
H
H
H
I
give
it
there,
so
they
can
make
some
hundred
grades
of
typical
additive
and
use
it
there
whenever
they
want.
So
they
see
it
helps
the
supply
chain
drastically
another
supply
chain
which
you
are
actually
working
on
now.
I
am
telling
that
I
think,
if
I'm
not
running
short
of
time,
I'll
give
a
good
supply
chain
example,
which
is
which
can
come
out
of
all
the
4.0
components
it
is
yet
to
come,
but
it
is
in
the
just
just
coming.
H
H
H
So
what
you
can
do
you
can
take
the
you
can
take
all
the
diagnosis
which
will
get
the
diagnosis
three
before
the
operation
about
95
percent,
but
five
percent
in
unix
each
eye,
your
left
eye
and
right
eye
are
different.
So
so
you
have
to
go
to
the
oppression
table
open
the
eye
and
your
flow
reactor
sits
on
the
operation
table,
which
is
small
one
like
a
like
a
induction
heater
or
like
a
small
computer
or
a
laptop.
It
sits
there.
H
So
you
you
look
for
the
you
take
out
the
liquid
from
the
eye
and
see
whether
it
is
there
is
a.
There
is
a
any
adhesive
which
can
which
is
compatible
for
this
liquid.
You
will
go
to
your
library,
which
is
available
in
the
computer
spectrometry
and
look
for
the
audition.
It
may
not
be
there,
it
may
be
there.
It
may
not
be
there
if
it
is
not
there.
You
go
to
the
computational
commentary
and
on
the
fly
you
make
that
molecule
from
the
electron
interaction
and
side
effects.
H
H
A
Coming,
that's
a
that's
a
great
example.
I
think
I
think
I
could
listen
to
you
all
day.
Talking
about
these
examples
as
well.
It's
I
think
it's
very
exciting
to
see
the
practicalities
of
how
we
can
use
the
technology.
So
I
I
wanted
to
turn
to
mr
ajay
and
basically,
what
I'm
keen
to
understand
is
you
know.
A
We've
we've
heard
a
lot
there
from
mr
mohanty
about
the
whole
end-to-end
value
chain,
but
perhaps
maybe
you
could
give
us
an
idea
or
your
thoughts
on
how
it
can
be
applied
for
this
concept
of
a
smart
factory
right.
So
how?
How
can
we
build
these
future
ready,
smart
factories,
and
I
think
you
get
like
everyone
else.
You
probably
can
talk
about
this
all
day,
but
I'm
just
curious
to
get
your
your
high
level
thoughts.
Please.
A
B
You
maleki,
and
I
think
I'm
very
happy
to
be
on
this
panel.
I
think
with
so
many
diverse
and
esteemed
thought
thought
ideas
coming
in
in
this
discussion,
and
I
was
really
worried
when
mr
mohanty
started.
You
know
at
the
level
of
details
he
was
able
to
go
and
he
was
enjoying
his
discussion
for
a
moment.
I
forgot
that
you
know
we
have
a
time
also,
but
I
think
it
was
very,
very
interesting
to
see
and
hear
from
mr
mohanty.
B
There
are
a
couple
of
more
which
is
optical
fiber,
and
then
you
know
it
is
distributed
in
terms
of
locations
the
fiber
plant
and
the
cable
plants
across
the
globe.
It's
a
very
interesting
industry
in
terms
of
like
people
talked
about
covered.
How
did
it
get
hit
and
from
our
point
of
view,
I
think
it
was
for
the
telecom
industry.
It
was,
you
know,
non-stop
in
terms
of
board
demand,
and
I
think
the
future
demand
how
it
looks
like
from
different
cables,
different
interconnects,
which
we
need
in
all
this.
B
How
do
you
when
I
talked
about
different
plants?
The
idea
was
malaki
about
you
know
when
we
are
setting
up
a
new
plant
and
also
our
different
plants
with
different
ages
of
machines
right.
We
have
been
in
this
industry
for
more
than
30
years,
so
you
can
imagine
that
there
will
be
machines
which
would
not
have
heard
about
blc
or
scada
right
when
we
talk
about
smart
industries.
So
let's
go
back
to
a
little
bit
of
basics
of
you
know
where
we
need
smart
industries
to
come
in
everybody
talks
about
it.
B
I
want
to
go
into
specific
areas
within
the
smart
industry.
We
are
a
process
industry,
and
in
that
I
would
say
that
you
know
the
the
whole
part
of
oee
improvement.
Like
you
touched
about
optimal
oe,
I'm
talking
about
and,
and
then
prince
talked
about.
You
know
the
running
the
machine
to
the
installed
capacity
or
the
rated
capacity.
B
You
know
those
are
very,
very
important
factors.
You
cannot
continue
to
expand
on
the
machines
while
you
have
not
utilized
the
current
machines
and
that's
where
industry
4.0
with
this
variables
is
coming
into
play.
So
I
I
will
talk
about
a
little
bit
about
oe
and
then
go
into
one
specific
area
of
a
smart
industry
in
terms
of
defect,
detection
and
then
leave
it
that,
because
I
just
want
that
you
know
there
is
some
item
for
us
to
learn
from
each
other
learned
a
lot
from
the
previous
three
speakers
and
then
the
audience.
B
You
know
who
can
challenge
me
that
you
know
ai.
We
talk
a
lot
about
ai,
I
feel
from
where
I
am
in
the
industry.
I
am
ai
is
a
little
further
away.
We
need
to
get
our
basics
right.
In
terms
of
you
know
the
ml
and
the
connectivity
and
a
secure
connectivity
in
a
smart
network.
We
talk
about
edge.
How
do
you
have
your
own
5g
with
your
edge
setup
and
it
talks
to
the
cloud
public
cloud,
preferably
how
do
you
have
a
secure
environment
for
that?
B
It's
very
very
important
when
you
are
connecting
your
machines,
both
from
a
data,
leakage,
perspective
and
intrusion.
You
know
you
you
name
it
and
then
there
are
bots
and
machines
working
incessantly
to
break
in
into
your
network.
So
many
you
know
anybody
who
says
that
I'm
full
proof,
maybe
in
for
a
surprise,
so
we
do
nowhere
claim
that
we
are
that
way.
B
But
the
idea
is
by
design
look
for
a
secure
network,
especially
when
you
are
connecting
your
machines
and
some
of
those
machines
would
have
a
fresh
new
scada
connected
udp
network
setup
for
them.
So
going
back
to
a
little
bit
about
the
defect
detection,
you
know,
I
think
there
are
use
cases
where
you
want
to
come
in
where
you
can
completely
remove
the
human
element.
Why
are
you
doing
that?
Because
in
certain
cases,
when
it
is
a
repetitive
tasks
or
identifying
defect
through
a
human
eye,
you
know
there
is
the
whole
concept
of
coming.
B
B
You
know
that
component
comes
in
into
play
and
in
today's
industry
4.0
you
are
taking
away
the
vision
part
and
then
you
letting
the
machine
and
the
ml
I'm
not
talking
about
ai.
I
don't
think
so.
We
are
anywhere
near
that,
but
ml
point
of
view
very
quickly
define
the
use
cases
and
then
build
on
it.
So
that
is
the
area
where
you
completely
identify
the
defects.
You
bring
in
a
traceability,
a
digital
traceability,
I'm
not
talking
about
prevention.
B
Yet
I'm
just
talking
about
detection
that
you
know
you
bring
that
traceability
where
it
happened,
which
bobbin,
let's
say
it
happened
and
where
which
batch
id
it
was
produced
and
and
the
whole
bomb
related
to
it.
So
you
know
those
aspects
are
very
important
on
the
ground
and
with
the
technology
you
know
available
at
us.
You
know
good
cameras,
high
speed
cameras,
cameras
who
can
within
you
know
one
a
few
seconds
do
multiple
digital
photographs.
B
You
can
change
the
intensity
focus
very
quickly,
so
all
those
things
are
required
from
a
machine
vision
to
replicate
our
human
eye,
because
it's
a
as
mr
monty
talked
about
it.
So
it's
an
instrument
of
its
own
replicating
it
and
then
digitizing
that
whole
process
is
something
which
I'm
just
explaining
is
an
example
from
a
defect.
A
You
that's
great,
I
mean
that's
a
really
good
example
as
well,
and
I
think
it
it
brings
us
into
that.
The
context
of
the
importance
of
bringing
all
of
these
technologies
to
bear.
Okay,
and,
as
I
mentioned
in
my
introduction,
the
s
word
as
I
call
it
you
know,
sustainability
has
become
a
key
element
that
everyone's
thinking
can
possibly
be
delivered
through
the
introduction
of
these
technologies
and
I'd
like
to
turn
to
mr
hunker,
mr
anker.
I'm
just
curious
on
your
thoughts
on.
A
I
I
I
It
reduces
my
dependence
on
inputs,
whether
it
be
energy.
I
am
more
efficient,
so
I
am
more
energy
efficient.
Now,
whether
I
use
solar
energy,
whether
I
use
nuclear
energy,
whether
I
use
hydroelectricity
or
even
my
thermal
energy
from
the
thermal
electric
plants,
if
I
reduce
my
consumption,
that
is
a
direct
impact
on
sustainability
on
being
reducing
my
carbon
footprint,
then
you
come
at
the
input
materials.
I
An
automated
factory,
a
digitized
factory,
reduces
waste.
It
improves
my
profi
process
efficiency.
So
if
I'm
more
efficient
and
I'm
reducing
waste,
I'm
reducing
garbage,
I'm
reducing
the
dumping.
I
am
reducing
my
consumption,
my
net
input
per
our
piece
like
if
I
give
you
an
example
from
my
industry,
where
we
make
cosmetic
tubes.
So
if
I
can
reduce,
say
0.5
percent
of
my
wastage
of
cosmetic
tubes,
that
means
that
0.5
of
a
billion
tubes
are
less
for
recycling
or
dumping.
I
Similarly,
if
I
look
at
the
factory
per
se
a
smart,
when
you
look
at
data
being
shared,
when
you
look
at
trends,
the
industry
I
come
from
is
required
by
statute
to
maintain
a
lot
of
records.
Our
batch
processing
records
are
very,
very
elaborate,
they're
written
by
hands.
We
have
people
who
are
experts
and
they
keep
writing
taking
out
the
data,
but
this
data
is
there
in
hard
copies
now.
If
this
entire
thing
is
digitized
and
I
can
use
ai,
I
can
predict
failure
now.
I
Imagine
one
batch
of
a
particular
product
which
will
go
into
tons
if
it
fails
the
in
okay,
I
might
have
my
atp-
I
might
clean
it
whatever,
but
ultimately
not
having
a
waste
is
a
huge,
huge
gain,
and
I
think
that
is
where
industry
4.0
really
changes.
Our
mindset
that
our
mindset
from
reducing
our
effluent
discharge
from
the
factory
we
can
now
focus
at
reducing
the
generation
of
effluent
itself,
and
this
goes
not
just
for
water
for
air.
For
everything,
I
hope
I've
been
able
to
address
the
question.
Thank
you.
A
A
How
can
I
get
the
waste
bite
so
remove
the
waste
from
the
design
you
know
build
into
the
product.
The
fact
that
it
can
be
circular,
for
example
as
well.
That's
another
angle
and
I
I
think
we
could
again
have
probably
a
whole
separate
event
on
sustainability,
but
I
I
touched-
and
we've
mentioned
so
far
in
the
questions
all
of
the
different
elements,
and
I
think
we've
talked
about
industry.
Four
we've
talked
about
the
technologies,
we've
talked
about
the
smartness
of
them.
A
So
I'd
be
curious
to
understand
mr
mohit,
you
know
where
and
how
do
we
see
the
challenges
of
digital
transformation
in
this
context,
and
how
might
we
be
able
to
scale
any
of
these
digital
transformations
that
we're
working
on
and
just
just
to
tee
up?
Mr
vikram,
I'm
going
to
be
asking
you
the
same
question
in
a
few
moments,
so
I'm
just
curious,
as
we
begin
to
close
this
out
towards
the
q,
a
what
does
digital
transformation
mean
and
how
do
we
scale
it
up
in
this
context,.
J
So
very
deep
insight
by
mr
monti,
ankur
and
other
people
also,
so
I'm
not
going
to
repeat
the
thing.
First,
let's
talk
about
how
the
industrialization
start
industry,
one
two
and
three
when
computer
starts
india
were
nowhere
near
from
1760
to
whenever
time
1840.,
but
today,
industry,
4,
india,
is
in
in
all
the
prospects
and
all
the
aspects.
Also
you
talked
about
last
year
papers
very
clearly
says
in
digital
money
transfer.
J
We
are
number
one
more
than
china
and
usa,
so
it
is
very
clear
we
are
in
see
now
I
give
example
how
this
distillation
automation
is
going
to
affect
and
I'll
take
example
of
my
industry
and
my
factory
was
set
up
as
a
practical
part
like,
as
in
jakkur,
we
set
up
a
laboratory,
a
purely
robotic
laboratory
right,
because
lighting
is
a
technology.
You
need
a
high
class
labs
for
any
production
unit,
not
why
I
say
lighting
so
by
using
robotic
things.
J
I
gave
a
few
more
examples
of
new
industries
nowadays,
like
we
heard
about
razer
pay
a
payment
desk
right
in
last
two
years,
the
industry
come
up
to
eight
billion
dollar
he's
just
a
payment.
That's
a
digital
payment
desk,
I'm
not
taking
the
old
name
of
oyo
and
many
many
others.
No
very
small
company
recycle
a
digital
waste
management
company.
J
So
you
find
many
name
who
are
using
distillation
the
sensor,
the
use
of
machines
to
make
things
faster
to
make
process
very
fast
to
make
things
happen
in
a
much
much
cooler
way
and
a
better
yield.
Most
important
with
distillation
is
speed.
Speed
is
very
directly
proportional
to
money,
see
okay.
When
we
talk
about
any
disruption,
any
automation,
the
first
part
come
the
investment
part.
J
So
when
anything's
going
to
be
speed
up
money,
also
going
to
be
increased
about
human
back,
one
of
our
friend
is
talking
about
demand
supply
supply
chain,
a
very,
very
important
role
of
digitalization.
First,
we
understand
the
psyche
of
consumers
when
you're
going
for
a
product
first
of
all,
psycho
consumer
what
they
want,
because
nowadays
things
have
changed.
J
We
can't
produce
something
by
knowing
or
by
understand
or
by
seeing
the
experience
unless
consumers
separate,
then
we
have
to
match
what
type
of
the
psyche
is
going
to
match
with
the
sustainability
means
production
per
se,
profitability
basic.
Then
we
have
a
choice
of
products
and
with
always
we
can
have
a
very
robust
demand,
supply
chain
area,
wise
depot,
wise
and
requirement
wise.
We
can
match
with
seasonality
factor
also
like
in
india.
J
J
A
Excellent
insights.
Thank
you
very
much,
sir,
and
I
think
we're
coming
up
on
our
last
question
to
mr
vikram.
So
thank
you
for
being
patient
and
waiting,
sir,
but
I'd
like
to
maybe
blend
those
last
two
topics:
digital
transformation
and
sustainability,
and
maybe
get
your
views
on
you
know.
Digital
transformation
has
meant
something
for
many
many
years,
but
as
we
start
to
adapt
industry
four
and
bring
in
this
context
of
sustainability
hi.
Mr
vikram
sir,
how
do
you
see
digital
transformation
affecting
that?
C
C
A
Well,
perhaps
mr
vikram
will
be
able
to
chime
in
in
a
couple
of
seconds,
but
I'll
come
back.
Maybe
mr
cyan
deb
I
mentioned
earlier.
I
might
get
your
views
on
digital
transformation,
so
perhaps
if
you
could
just
give
us,
maybe
a
couple
of
minutes
on
your
your
thoughts
around
this
digital
transformation
context
and
and
if
mr
vikram
rejoins,
we
can
get
his
thoughts
as
well
sure.
G
G
First
of
all,
if
you
don't
know
what
you're
doing
or
as
in
as
they
say
in
alice
in
wonderland,
if
you
don't
know
where
to
go,
any
route
can
take
you
there,
and
this
is
going
to
cost
you
money.
The
challenge
of
technology
is
always
over
a
period
of
time.
It
falls.
But
if
you
are
to
join
the
bandwagon
in
the
early
stage,
you
have
to
be
dead
sure
what
you
get
out
of
it
and
being
a
finance
professional,
maybe
martin.
This
is
not
something
you
would
like.
G
I
would
relentlessly
question
my
colleagues
on
the
roi
and
the
what
and
the
why,
rather
than
just
because
it's
a
fashionable
thing
to
do
also
the
other
important
thing
to
understand
is
there
are
two
aspects
to
it.
One
is
the
industry.
Readiness
one
is
the
individual
readiness,
as
they
say,
success
is
when
opportunity
meets
luck
so
over
here.
This
is
also
the
classical
case
in
the
industry.
Context
there
are
can
be
certain
points
of
digitization
which
can
take
you
there.
G
However,
having
said
that,
to
follow
that
practice,
am
I
really
up
to
speed?
I
think
ajay
rightly
put
it
that
if
the
basics
are
not
right,
then
ai
is
the
thing
which
is
of
not
to
be
implemented
immediately.
So
I
think
that
introspection
needs
to
be
done
on
the
digitization
process
rather
than
just
blindly
following
because
it's
a
cool
thing
to
do.
A
Thank
you
very
much
for
that.
I'm
not
sure.
If
you
heard
when
mukesh
introduced
me,
he
talked
about
my
experience
in
banking.
I
actually
have
15
years
in
banking
as
well,
so
I
I
fully
empathize
with
everything
you're
saying
so
I
totally
understand
so
I
reached
out
to
mr
vikram,
but
unfortunately
I
have
not
been
able
to
connect
with
him,
but
so
much.
C
Yes,
I
have
three
or
four
questions
actually
already
on
the
chat,
though
people
have
direct
message
to
me.
So
that's
okay.
I
can.
I
can
ask
the
question
on
their
behalf
first
question,
as
always
that
we
get
in
in
a
session
like
this
is
always
around
change
management.
The
question
that
I
got
was
you
know.
While
everyone
is
talking
about
industry
4.0,
how
is
the
industry
taking
care
of
change
management
while
implementing
the
industry
4.0.
A
Yeah,
perhaps
I'll
mention
a
little
bit
about
that
and
then
see
if
anyone
else
wants
to
grab
it.
It's
quite
interesting.
I
I
have
a
slide
which
isn't
which
isn't
in
my
deck,
which
talks
about
digital
transformation
and
the
steps
and
the
key
elements,
and
one
of
those
key
steps
is
understanding
change
management.
I
think
what
we've
got
to
be
very
careful
about
with
all
these
technologies
and
what-ifs
and
maybes
about
how
we're
transforming
is
people
are
being
affected
by
this
organizations
are
being
affected
by
this.
A
The
consumer
is
being
affected
by
this,
and
we
need
to
be
very
careful
to
understand
that
every
aspect,
no
matter
how
small
is
a
change
management
project.
It
needs
to
be
treated
as
a
change
management
project.
It
needs
to
be
given
that
importance-
and
it's
very
you
know
for
me-
the
process
around
change.
Management's
very
specific.
A
I
think
we
really
do
need
to
look
at
every
single
aspect
as
mr
cyan
that
just
said
it's
not
doing
it
for
the
sake
of
it,
it's
around
being
able
to
identify
what
are
the
reasons
we're
doing
some
of
these
things
and
then
what's
the
change
impact
of
that
and
that
change
impact
needs
to
be
taken
on
a
journey.
Everyone
fears
ai,
for
example.
Everyone
says.
E
A
Yeah,
I
just
want
to
get
rid
of
my
job,
blah
blah,
but
actually
you
know
we've
had
experience
during
the
suez
crisis
last
year,
where
we
used
ai
to
help
people
who
previously
would
have
been
involved
in
moving
the
large
tanker
to
be
able
to
identify
how
to
do
that,
the
best
way
using
technology.
So
the
change
process
here
is
not
about
replacing
people
in
some
of
these
aspects.
It's
about
changing
the
roles
people
have
and
being
able
to
bring
them
on
a
journey
and
become
digital
natives,
as
we
like
to
talk
about.
G
To
go
ahead
on
the
change
management,
I
think
this
is
the
good
old-school
method
which
has
to
be
followed.
It
has
to
be
a
good
mixture
of
top
down
and
bottom
up.
My
the
strategy
can
be
at
the
top
level,
but
till
the
line
is
happening
at
the
execution
level.
Whatever
the
change
management
is
processes,
whether
it
is
in
the
field
of
technology,
in
the
field
of
human
resources
in
the
field
of
manufacturing,
it's
never
going
to
work.
G
I
think
the
important
dynamics
which
we
all
make
most
of
the
times
we
face
is
we
have
these
gantt
charts
and
we
have
a
plethora
of
tools
to
track
the
train
management
process.
But
what
we
tend
to
miss
out
is
the
human
angle
to
it
and
if
to
me,
that's
the
most
critical
thing
in
the
entire
change
management.
If
you
get
that
right,
rest
of
the
things
fall
in
place.
G
If
you
are
not
getting
that
right
and
only
relying
on
technology
to
bring
in
the
change
management
and
yeah,
possibly
I'm
seeing
slightly
variant
from
the
topic
of
discussion
today,
but
being
a
person
from
the
old
school
of
thought.
I
think
no
technology
can
work
to
have
the
change
management
in
place.
F
Yeah
I
just
wanted
to
head
on
to
what
sandeep
and
malaki
just
mentioned
so
to
me,
buying
part
is
not
optional.
That
just
needs
to
be
extremely
clear
throughout
all
the
layers
of
the
of
the
hierarchy,
because
the
person
who
is
interested
with
making
or
bringing
about
the
change
most
of
the
time
his
limit
and
his
agency
only
goes
so
far.
There
are
players
involved
in
this
who
need
to
come
in
and
and
digital
transformation.
F
F
I
have
done
from
my
experience
two
areas
where
we
felt
a
cross-functional
team
is
able
to
handle
it,
but
now
we
have
moved
on
to
actually
making
this
an
office
that
is
the
dtio
a
digital
transformation.
Obviously
you
need
somebody
with
a
stamp
with
a
with
a
with
with
some
more
leverage
to
actually
go
in
and
have
those
conversations
and
then
go
through
the
process
of
coming
up
with
a
a
joint
target
to
attack.
Then
it
brings
in
a
little
bit.
More
effect
is
what
I
have
what
I've
experienced.
C
A
Absolutely,
I
think,
I
think,
being
part
of
the
panel
is
important
that
mr
vikram
gets
an
opportunity
to
to
talk
so
welcome
back.
Mr
vikram
sir,
I
I
had
asked
you
earlier
a
question
around
understanding
of
digital
transformation,
but
in
particular
how
we
can
bring
digital
transformation
to
bear
when
we're
bringing
sustainability
into
this
whole
industry
4-0.
C
C
C
E
Yeah,
so
actually
the
good
afternoon,
everybody
I
am
from
exid
industries
limited.
We
have
recently
implemented
industry
4.0
in
one
of
our
manufacturing
units
at
pursuit
plant.
So
here
we
are
facing
the
challenge
with
calculating
the
roq,
basically
the
rate
of
quality.
You
are
mentioning
about
the
way
calculation
of
oe.
So
in
that
context
I
wanted
to
know
how
you
are
calculating
that
how
we
are
segregating
the
type
of
defects
and
calculating
that
roq.
That
is
my
question.
Sure.
B
B
I'm
just
talking
out
from
you
know
the
my
perspective
of
cable
when
you
are
doing
it
on
a
fiber
which
is
very,
very
thin,
and
it's
almost
transparent
because
it's
natural
fiber.
How
do
you,
you
know,
make
sure
that
you
are
at
least
replicating
what
the
human
eye
did
and
then
extrapolate
to
the
new
defects
which
the
machine
ml
will
bring
in.
B
In
our
case,
we
discovered
that
the
base
changed
from
x
to
you
know
x
plus,
so
I
would
let
the
technology
which
is
evolving
faster
than
what
we
would
think
be
open
to
that
idea.
I
think
we
will
have
a.
We
are
promised
saying
something
which
is
practical
on
the
ground
and
not
saying
that
you
know
you
one
a
you
will
be
reached
100
of
the
fix,
but
while
doing
that,
you
may
defect
more,
you
know
the
total
number
of
defects
may
change.
C
K
Most
important
thing
is
a
foreign
organization.
Capital
cycle
and
working
capital
cycle
essentially
means
management
of
receivables
and
management
of
payables,
so
through
automation
or
supply
chain
financing,
as
it
is
called
in
the
banking
balance,
you
can
obviate
the
need
for
a
big
staff
and
you
can
control
your
collections
as
well
as
payment
sitting
over
your
table
mate.
K
What
normally
we
meant
to
do
you?
You
get
your
customers,
onboard
suppliers
on
board
on
a
platform
and
you
make
payment
to
them.
There
are
for
this
payment.
There
is.
There
are
two
things
when
you
like,
just
as
in
receivable,
you
have
factoring
services
for
the
payments.
You
have
got
reverse
factory
so,
based
on
your
strength,
only
the
anchor
company
stand.
You
can
very
well
manage
and
keep
the
credit
terms
and
enhance
your
external
rating,
which
ultimately
will
help
you
in
reducing
your
interest
cost.
K
Of
course
they
will
take
when
she
normal
and
this
security,
but
it
will
not
be
to
the
core
literal,
not
to
the
extent
of
100,
50
or
25
percent.
It
will
be
a
nominal
and
cheating
over
your
table,
taking
advantage
of
all
the
latest
developments,
you
can
login
into
their
account
and
get
the
connection
immediately
as
you
upload
the
invoice
or
sometimes
even
the
inversions
are
not
required
on
the
external
basis.
If
you
do
it
and
immediately
you
get
the
payment.
C
Sure,
thank
you
so
much
for
that
offer.
I
think
in
the
interest
of
time
one
last
question
and
maybe
I'll
invite
ankur
to
answer
this.
The
question
is
around
for
job
production,
job
shop
production
system,
which
part
of
industry
4.0,
should
be
used
first
for
better
productivity,
I'm
cool!
If
I
ask
you
to
yeah.
I
I
If
you
can
have
sap
already
has
a
digitized
machine
log
book,
but
you'll
be
surprised
at
the
number
of
companies
who
are
using
sap,
but
they
do
have
not
got
plant
maintenance
enabled.
So
you
do
not
have
the
machine
log
book
in
the
digitized
form,
because
still
a
few
years
back,
when
we
talked
about
all
these
things,
there
was
no
tangible
benefit
that
we
could
showcase
to
them.
Well,
do
you
apologize
to
mr
mukherjee?
I
I
had
a
tough
time
trying
to
explain
to
our
commercial
team
the
reason
why
we
need
a
digital
twin.
The
answer
I
got
was
that
once
you
build
the
factory,
take
a
video.
Why
do
you
need
somewhere?
Why
do
you
need
to
pay
someone
to
make
a
digital
replica
of
something
that
you
are
anyway
planning
to
have
on
your
own
now,
fortunately,
for
us
covet
has
propelled
this
transformation
fast.
I
So,
coming
back
to
the
question,
start
from
the
basics
get
your
first,
whatever
your
recording
first
machine
log
books,
manufacturing
logs
digitize
them
put
them
on
a
cloud,
get
that
data.
First
then,
look
at
automation
again,
please
do
not
over
automate
and
just
dip
into
the
previous
question
which
came
in
when
you
talk
about
roq
when
you
we
today,
the
cost
of
sensors
has
come
down
a
lot,
so
we
try
to
put
sensors
for
all
inspections
now.
I
I
C
Thank
you
so
much
for
your
insight.
I
think
we
are
already
four
minutes
on
top
of
the
hour,
so
I
would
like
to
thank
all
the
panelists
for
your
time
and
sharing
your
insights.
I'd
like
to
thank
all
the
participants
for
taking
time
and
joining
us
for
the
first
in
the
series
of
five
sessions.
The
next
session
that
we
have
planned
is
for
thursday
same
time
and
we
will
again
host
malaki
and
he
will
be
talking
about
intelligent
assets
for
productivity,
efficiency
and
roi.