►
Description
We bring together industry leaders to discuss data-sharing trends and multi-party workflows.
This week we are hosting Pravesh Kumar who is an MD with Accenture and Global Lead of Control Tower Advisory and Head of Supply Chain Digital Strategy.
The global weekly office hours for the Baseline Protocol open source community, Wednesdays at noon in the US-Eastern timezone.
Learn more at https://baseline-protocol.org.
A
B
Thank
you
very
much
for
joining
us
once
again
for
the
Baseline
show
we
do
this
every
Wednesday
noon,
time
in
the
EST
6
PM,
Central,
Time
and
9
30
PM
India
time
we
are.
We
are
very
excited
today
to
have
a
very
special
guest
with
us.
Mr
pravesh
Kumar
he's
an
MD
with
Accenture
and,
and
you
know,
Accenture
happens
to
be
one
of
our
favorite
sponsors.
You
know,
thank
you
very
much
for
all
the
support
which
we've
received
so
far.
B
You
know
right
from
the
Genesis
up
until
now
and
and
yeah
we
will
we
will
today
on
today's
episode.
We
will
explore
some
new
ways
of
some
data,
Trends
data
sharing
Trends
with
pravesh
and
understand
what
they
see.
You
know
the
kind
of
value
which
can
be
potentially
and
logged
in
the
supply
chains.
So
let
me
quickly
run
through
with
pravesh
about
his
background.
So
he's
got
a
pretty
amazing
background.
Everybody
he's
Pro
he's
an
engineer
from
one
of
the
premium
institutes
in
India
and
and
that's
IIT.
B
You
know
if
people
are
watching
us
from
India,
they
would
always
know
us.
That's
that's
IIT
and
then
he's
also
got
a
business
degree,
and
and
and
now
he's
he's
an
MD
with
Accenture
parmesh
I
would
let
you
talk
a
little
more
about.
You
know
your
various
positions
and
your
various
roles
with
your
employers.
What
I
can
definitely
say
right
now
is,
is
that
pravesh
is
joining
us
on
the
Baseline
show
in
individual
capacity
he's
not
presenting
his
present
or
former
employers,
which
is
very
important.
B
B
C
B
Show
absolutely
absolutely,
and-
and
you
know
this
is
one
thing
which
I
missed
in
the
background.
So
pravesh
is
one
of
the
leaders
in
Accenture
Strat.
When
I
was
there
I
used
to
look
up
to
him
and
he
used
to
give
us
opportunities.
I
mean
he's
an
opportunity
Bank,
you
know
for
people
who
are
with
Accenture
who
are
watching
us.
Please
do
hit
him
up
on
the
internal
channels
as
well.
He's
he's
an
opportunity.
Bank
go
ahead
after
you
over
to.
C
You
yeah
I
think
as
a
brief
introduction
from
my
side
yeah.
So
you
already
gave
some
basics,
but
if
I
have
to
add
I
will
add
two
simple
things:
I
have
been
always
very
entrepreneurial
type
and
Innovative
type
so
spend
a
lot
of
time
with
product
management
in
Germany
and
Netherlands.
So
then,
you
think
about
new
features,
new
products
and
things
like
that
and
then,
when
I
moved
to
Accenture
in
Amsterdam
office,
I
still
recall
first
time
discussing
with
my
client.
How
can
you
use
Google
Glass
to
assemble
a
machine?
C
You
know,
can
you
think
of
that
and
then
from
there
the
journey
started.
We
got
together
in
Accenture,
study
and
Consulting,
where
you
were
there,
but
we
had
this
Innovation
team,
where
we
had
blockchain
as
a
capability
pillar,
hundreds
of
people
there
AI
is
another
capability
pillar,
then
arvr,
3D,
printing
and
so
on.
So
it
was
very
exciting
time
and
still
I
think
when
I
see
all
the
people
who
come
to
Accenture
or
are
part
of
the
team,
they
are
really
excited
when
they
get
a
chance
to
work
on
this
kind
of
thing.
B
C
Well,
thank
you
so
much
as
I
said,
I'm
always
curious
about
how
can
you
apply
all
these
latest
greatest
Technologies
to
solve
business
problems?
So
very,
very
first
thing
which
came
from
my
personal
experience
when
I
used
to
work
with
asml.
This
company
makes
lithography
machines
very
complex
machines,
300
million
euro
per
machine,
so
the
complexity
is
more
than
aircraft
and
I
was
like
to
assemble
this
machine.
C
I
thought:
can
we
make
these
work
restrictions
very
Interactive,
where
we
have
audio
video,
hands-free
and
all
those
stuff
and
then
then
I
developed
an
industrialized
solution.
I
will
not
get
into
the
detail.
That
was
my
first
patent
using
Google
Glass
and
then
from
their
Journey
started.
I
think
you
mentioned
about
cargo
loading,
optimization
I.
C
C
That
pattern,
let
me
tell
you
there
is
a
algorithm.
How
do
you
share
the
data
between
different
parties
when
you
have
to
bring
lot
of
boxes
from
different
parties
and
they
go
to
Cargo?
You
share
that
data
well
in
advance,
so
that
you
are
able
to
virtually
pack
your
cargo
and
optimize
the
space.
So
that
was
another
interesting
one
that.
C
One
more
interesting
one
about
blockchain
by
the
way:
yeah
I
I,
combined,
3D,
printing
and
blockchain
for
another
patent,
which
is
about
rather
than
in
in
the
supply
chain
world
when
you
need
parts
to
to
fix.
Let
me
take
very
simple
example:
car
there
is
a
car,
maybe
designed
and
manufactured
in
U.S
Tesla
sold
in
India
or
whatever
it's
not
in
India
really,
but
just
taking
an
example.
So
the
spare
parts
are
not
always
available.
C
Small
spare
parts
are
not
always
available,
so
we
developed
a
system
in
which
the
actual
manufacturer
can
put
the
design
of
spare
parts
on
a
platform,
and
then
any
local
company
can
manufacture
them
and
then
sell
them
and
there's
the
entire
royalty
process
that
were
designed
through
blockchain
technology
on
that
platform.
So.
B
B
Very
interesting,
I,
remember,
I,
remember
briefly
going
through
that
in
the
client
inspiration
center
yeah
with
you
in
gurgaon,
I
I,
think
that
was
something
which
we,
which
we
worked
through
I
mean
if
we
were
to
take
good
names.
You
know
I
definitely
remember
having
a
presentation
with
Airbus
I
believe
yeah
on
this
yeah
excited
time.
Super
super
awesome,
stuff,
pravesh
and
after
that
so
I.
My
memories
with
you
were
sort
of
limited
there
and
then
in
the
informed
Innovation
there
is,
after
that
you
know,
we've.
B
C
So
these
days,
I
am
leading
supply
chain
control
tower
for
Accenture,
globally
supply
chain
control
tower
could
be
very
confusing
words
for
different
people,
the
people
who
are
in
supply
chain.
They
are
confused
and
people
who
are
not
in
supply
chain.
They
totally.
They
really
think
it's
a
airport
type
of
controller,
but
try
this
for
all
of
you
and
all
of
your
audience.
C
So
when
you
are
managing
complex
supply
chain
and
as
an
organization,
you
would
like
to
know
what
is
happening
in
my
supply
chain,
so
you
need
almost
real-time
visibility.
Where
is
my
inventory?
Where
are
my
parts?
Where
are
my
codes?
Did
my
order
reached
the
customer
or
not,
or
the
things
I'm
supposed
to
receive
from
supplier?
Did
I
get
those
things
on
time
or
not
so
creating
that
end-to-end
visibility
to
understand
what
is
happening
in
my
supply
chain,
then
creating
predictive
alerts
so
know
before
something
goes
wrong.
C
So
what
is
going
wrong
in
my
or
what
is
supposed
to
go
wrong
in
my
supply
chain
and
then
figuring
out
different
solutions?
Okay,
if
this
is
supposed
to
go
wrong,
then
what
are
the
potential
ways
to
solve
it
and
then
automate
those
decisions.
So
these
are
the
different
capability
layer
of
a
supply
chain.
Controller
I
see
how.
How
does
it
connect
to
the
data
exchange,
which
is
the
topic
of
today
Baseline
and
most
of
the
audience
Must
Be
Wondering.
You
know
why
we
are
talking
about
supply
chain
control
tower.
Oh.
B
C
C
If
you
can
share
the
data,
then,
if
I
am
a
company
like
so
BMW
and
I'm,
getting
parts
like
tire
from
somewhere
else
steering
wheel
from
somewhere
else,
then
so
many
chips
which
goes
into
the
car.
If
I
have
the
right
status
of
all
these
stuff,
almost
in
real
time,
then
there
are
two
things:
I
can
say:
one
I
don't
have
to
build
lot
of
inventory,
because
today
they
build
all
the
invented
to
make
sure
that
they
have
the
right
parts
at
the
right
time.
C
Second,
I
don't
have
to
deal
with
unexpected
scenarios
that
my
assembly
is
stopped
because
certain
part
is
not
there
so
in
complex
supply
chain
where
multi-parties
are
involved.
Exchanging
this
data
is
very
critical
and
it's
very
critical,
especially
when
you
have
to
put
together
a
supply
chain,
control
tower
type
of
capability
where
you
really
want
to
know
what
is
happening
in
my
supply
network
and
no
before
something
goes
wrong.
What
is
going
to
go
wrong
and
how
to
solve
it?.
B
Right
right,
right,
right
and-
and
you
know
previous
I-
think
a
lot
of
our
audience-
I
mean
we
keep
talking
to
so
many
people.
So
a
lot
of
our
audience
is
also
very
technical
people
in
their
their
developers
or
or
they're
trying
to
integrate
Baseline,
let's
say
into
into
their
into
their
software
as
well.
So,
let's,
let's
break
break
let's
break
down.
I
mean
all
the
things
that
you
just
spoke
about
is
sort
of
two
days
worth
of
content
right,
so
so
we
can
just
probably
break
down
parts
of
it.
B
You
know,
let's
say
with
an
example
of
you
know.
You
took
an
automobile
example.
You
could
just
use
that
to
talk
about
digital
supply
chain.
First,
you
know
why
we
are
saying
that
there's
a
digital
supply
chain.
What
was
the
real
problem
with
a
digital
supplies
in
the
solving
and
then
sort
of
go
on
to
maybe
explore
what
are
data
silos?
B
C
C
C
I
was
working
with
a
company
in
India,
it's
a
big
company
and
I
will
just
say
it
makes
theater.
Also
it
has
six
different
company
and
one
of
the
company
makes
see
at
times,
and
they
were
talking
to
me
and
they
said
you
know,
my
biggest
challenge
is
half
of
my
products
are
exported
to
Turkey
Europe
and
these
countries,
and
they
they
make
a
lot
of.
They
sell
a
lot
of
electrical
component
and
parts,
and
so
on.
C
C
Which
is
hard
coded?
It's
not
matching
with
the
contract
which
the
procurement
guide
has
signed
with
certain
supplier,
correct
in
in
a
digital
company.
These
things
should
be
fully
connected,
that
there
is
a
digital
contract.
There's
a
lead
time
there,
then
that
is
connected
to
your
Erp
system
where
lead
time
is
fed
in
and
then
all
this
is
able
to
come
together
to
tell
the
delivery
date
to
this
guy
and
next
level
of
problem.
C
You
can
do
it
within
an
organization,
because
there
is
no
data
trust
issue,
but
as
soon
as
you
go
outside
the
four
wall
of
your
organization,
then
the
data
trust
issue
comes
in
the
integration
issues
comes
in
data
sharing,
issues
comes
in
the
side
load
data
is
is
an
issue.
So
then
you
need
a
battery
technology,
which
is
not
a
simple
integration,
because
no
other
company
is
gonna.
Allow
you
to
integrate
their
system
fully
with
your
system.
C
A
C
B
A
C
It's
quite
interesting,
you
know
the
big
automobile
company
like
pm
and
so
on.
We
have
been
having
this
discussion
actually
last
week
about
you
know,
supply
chain
Transformations
and
what
could
be
the
most
suitable
platform
for
their
transformation?
Some
of
you
might
know
that
in
supply
chain
World
these
days
there
is
this
blue
under
Connexus
online,
some
of
the
supply
chain
platforms.
C
But
when
we
looked
into
Automotive
OEM,
they
still
have
very
customized
planning
platforms
which
they
used
to
use
and
I
was
surprised.
I
was
actually
shocked
that
none
of
these
platform
players
have
real
credential
to
that
these
big
Automotive
companies
are
using
these
platforms.
So
this
is
just
side
note,
probably,
but
very.
B
Right
and
moralytic
applications
come
in
and
they're
just
they
just
stuck
they're
just
stuck
as
technical
debt.
I
think.
That
is
something
which
has
come
up
on
the
Baseline
show
in
the
past
as
well.
You
know
people
are
stuck,
people
are
stuck
with
their
their
modeling
applications,
which
they
got
made
by
the
way
just
half
a
year
ago.
They
were
convincing
their
management
that
this
is
the
best
way
to
go.
Yeah.
C
Right,
it's
not
it's
not
half
any,
or
they
have
20
years
in
building
that
particular
flight
and
they
have
spent
billion
dollar.
So
they
can't
tell
their
management
now.
I
need
some
other
platform,
so
yeah
quite
quite
challenging
for
them,
and
it
is
happening
in
even
at
broader
scale,
not
only
supply
chain.
If
you
look
at
the
Erp,
so
the
sap
was
also
being
customized
every
year,
so
many
dollars
being
spent
by
company
but
I'm
thankful
to
sap
that
they
have
come
to
upgrade
this.
C
B
B
And
you
know
where
does
you?
What
are
the
key
decision
factors
for
you
know,
especially
for
technology,
to
come
into
a
supply
chain?
And
you
know
two
parts
to
that
question
one:
is
you
know
what
do
companies
do
within
their
own
within
their
own?
You
know
within
their
own
boundaries
and
then
the
other
one
is:
how
are
they
integrating
or
not
integrating
with
their
supply
network.
C
B
C
Are
but
these
are
the
real
stories
I
think
within
within
the
four
wall
of
a
company,
how
they're,
digitizing
I
think
most
of
the
big
companies
are
going
through
digitizing,
the
core
first,
so
really
ensuring
that
their
foundational
processes
for
warehouse
management
for
transportation
management?
For
you
know
all
kind
of
Master
data
management,
the
financial
processes.
So
it's
basically
s4hana
in
simple
world,
so
that
is
the
port
Behind
These
digital
Transformations,
and
then
you
need
a
next
layer.
I
have
done
those
kind
of
lots
of
clients.
C
C
Layer
in
this
and
I
think
it
would
be
interesting
for
all
of
you,
yeah
first
digitizing,
the
core,
then
putting
layer
of
these
connected
applications
to
serve
a
specific
purpose
of
a
function,
and
then
we
call
the
next
layer
as
The
Innovation
layer
and
that's
where
you
have
very
specific
use
case
where
you
are
using
emerging,
Technologies,
so
specific
use
case
for
AFR,
especially
use
Facebook,
blockchain
or
iot
or
so
on.
So
that's
how
we
are
looking
at
we.
C
C
I,
don't
think
so
we
have
been
talking
to
many
clients.
Did
they
really
solve
ndr
supply
chain
visibility
and
data
exchange
issues?
Answer
is
no,
they
are
all
trying
and
I
think.
Hence
that's
why
I
personally
believe
Technologies
are
needed
to
and
blockchain
could
play
a
big
role
in
this
and
I
already
know
some
of
the
use
cases
where,
especially
when
you
talk
about
payments
and
receipt
and
Confirmation,
and
all
that
that's
where
blockchain
is
already
being
used.
C
Yeah
I'm
still
looking
for
and
I
also
know
in
some
Pharma
to
that
to
to
track
certain
medicines
and
so
on.
They
are
using
it,
but
I'm
still
searching
for
the
cases
where
they
are
using
it
for
really
controlled.
Our
creating
end-to-end
visibility
of
the
supply
network
connecting
10
different
company
in
the
value
chain,
I
haven't
seen.
B
C
B
C
So
you
know
you:
can
you
can
imagine
right
how
complex
is
their
supply
chain
so
and
it's
easy
to
understand
because
all
of
us
drive
car,
the
car
has
hundreds
of
parts
and
if
you
just
take
one
part
out
of
it,
which
is
a
steering
wheel,
steering
wheel
has
multiple
part
in
it.
There
is
electronics
and
there
is
other
stuff.
So
there
are
suppliers
to
this
steering
wheel,
assembly
company
as
well,
so
normally
there
could
be
easily
a
layer
of
8
to
10
supplier
to
complete
a
part
which
this
OEM
needs.
C
Yeah,
okay,
so
the
ideal
supply
chain
control
tower
should
be
able
to
give
you
end-to-end
visibility
about
what
is,
if
you
have
to
assemble
one
car,
all
the
parts
required
to
assemble
that
car.
Where
are
they
in
my
supply
network?
Are
they
all
on
time
or
not?
Is
there
something
some
risk
expected
and
then,
if
risk
is
expected
that
the
guy,
the
the
the
manager
on
the
line
assembly
line,
getting
alerts
and
then
figuring
out,
somebody
in
the
supply
chain
figuring
out
how
to
solve
those
issues
and
so
on?
C
So
it
is,
it
is
very
complex.
The
concept
is
easy:
if
supply
chain
control
over
implementing
it
is
very
complex.
I
have
been
part
of
many
supply
chain
controller
projects
in
last
years.
Biggest
issue
is
daytime
this.
You
do
not
have
the
data
you
need.
If
you
have
it,
it's
not
clean
or
it's
not
reliable,
so
40
to
50
percent
of
our
time
in
supply
chain
control.
Tower
project
goes
in
data.
C
Is
is
everything
is
starting
from
data
capturing,
because
some
of
the
data
is
missing,
so
you
need
to
figure
out
a
way
to
capture
it,
then,
from
there
cleansing
it
ensuring
the
reliability,
ensuring
the
quality,
because
once
you
start
projecting
the
final
results
and
if
you,
your
users,
don't
believe
what
is
under
the
hood.
A
entire
project
is
a
failure,
so
you
have
to
make
sure
that
the
data
is
reliable.
So
it's
it's
everything
and
that's
at
the
heart
of
a
successful
control
tower.
B
All
right,
absolutely
we've
we've!
You
know,
we've
still
not
got
any
questions
for
you
from
the
YouTube
stream,
but
one
of
our
TSC
members
Jack.
He
says
hi
from
Amsterdam
I,
don't
know
what
that
means
check
if
you're
watching
us
but
yeah
he
sent
you.
He
sent
you
a
message
which
I'm
just
going
to
post
on
our
YouTube
stream
right,
maybe.
B
Definitely
definitely
I
mean
the
when,
when
he
was
one
of
the
most
excited
people
when,
when
I
posted
about
having
you
on,
you
know
on
on
the
show
he
he
texted
me
the
same
thing
that
you
know
he's
he's
his
considerable
time
in
in
Amsterdam
and
around
you
know
that
area,
okay,
so
so
yeah
I
mean
this
is
very.
This
is
this
is
getting
very
interesting.
I
think
I
think
we
can
just
go
deep,
a
little
deeper
into
automobile
use
cases
and
look
at
hey,
Mark
yeah.
You
were.
E
You're
saying
something:
yeah
I've
been
quiet
for
40
minutes
now,
I
know
yeah
yeah
yeah,
so
but
no
I
mean
to
profession's
point.
I
mean
you
know
within
any
time.
You
know
it
doesn't
necessarily
be
supply
chain.
But
when
you
have,
you
know,
multiple
parties
that
are
all
belonging
to
separate
legal
entities
that
all
need
to
collaborate
among
among
a
common
purpose.
E
Making
that
happen
is
is
is
a
really
challenging
task
than
actually
maintaining
it
day
in
day
out
is
just
as
challenging
you
know,
and
it's
you
know
we
looked
at
it
with
with
blockchain,
and
that
just
seems
to
be
too
robust
of
a
of
a
of
an
answer
to
the
Eternal
question
and
stuff
because
it
involves
you
know,
ripping
and
replacing
something
and
generally
ripping
and
replacing
some
something
expensive.
So
you
need
to
be
realistic
about
it
going
well.
E
Why
not
just
make
the
current
environment
work
better
and
be
able
to
prove
not
a
test,
not
a
sure
prove
that
we
are
all
working
on
the
same
data
set,
and
you
know,
and
since
all
of
this
collaboration
has
to
happen
outside
of
corporate
boundaries,
you
know
that
collaboration
I
mean
because
of
data
privacy
are
just
competitive
position.
You
know
people
don't
want
to
do
this
and
it's
like,
but
you
know
it's
like
it
would
be
so
much
easier
if
they
could
and
we
give
you
a
method
to
allow
for
that.
E
G
Yeah
I
think
I
will
piggyback
off
of
you
mark
and
with
what
you
just
said,
and
you
know
if
you
know
a
little
bit
about
the
Baseline
protocol,
there's
an
aspect
about
zero
knowledge.
So
it
allows
you
to
verifiably
prove
things
about
your
data
without
needing
to
share
the
data.
So
you
can
make
sure
your
data
is
consistent
in
different
systems
of
Records
or
come
up
with
some
agreed
upon
Logic
on
what
you
need
to
prove.
So
maybe
I
don't
need
to
tell
you
everything,
but.
G
But
so
my
question,
for
you,
then,
would
be
I
type
this
out
to
Samra
yesterday,
so
I
am
just
going
to
read.
My
note
is:
what
is
a
situation
where
masking
data
but
verifiably
proving
something
about
that
data
could
be
useful
in
control
tower
data
sharing?
So
you
don't
even
need
to
share
the
data.
You
just
need
to
know
like
yes
or
no,
so
then
other
parts
of
the
process
can
move
on.
Could
you
share
like
a
use
case
or
yeah
idea?
You
have
in
mind
no.
C
I
think
it
could
be
useful
in
many
many
scenarios.
So
if
I
take
again
the
simple
example
and
some
rat
prefers
to
stay
with
Automotive.
So
probably
when
you
are
sharing
this
information
about
different
parts
in
your
supply
chain,
you
might
not
need
to
share
exactly
where
the
stuff
is,
or
you
know,
the
actual
status
of
how
much
percentage
is
complete
or
not
on
regular
basis.
If
you
even
keep
on
sharing
that
yes,
it's
on
track
or
not
whether
it
is
still
gonna
be
delivered
on
time
or
not.
C
So
that's
that's
probably
one
example
and
in
payment.
World
definitely
I
think
this.
If
you
have
a
proof,
yes
and
no,
that
is
also
a
use
case
which
you
can
think
of.
I
can
also
think
of
something
in
terms
of
quality.
So
let's
say:
if
there
are
some
processes
where
somebody
is
checking,
the
quality
might
not
need
to
put
all
the
parameters.
Whether
if
somebody
is
a
certified
QA
guy
and
can
ensure.
D
B
Right
so
I
think
one.
This
was
a
conversation
which
I
was
having
with
somebody
in
manufacturing
some
time
ago,
which
was
around
qan
and
he
was
actually
specific
about
you
know,
high
C,
sales
or,
or
you
know,
stuff
getting
delivered
at
customer
premises.
Sometimes
at
supplier
premises,
who's
auditing.
You
know
the
quality
and
you
know
first
of
all,
I
need
to
verify.
Is
it
the
right
person?
Auditing
I
mean
they're,
not
I.
You
know
they
want
to
First
verify
that
this
guy
is
not
colluding
with
providers
to
you
know
to
pass
just
anything.
B
The
second
thing
is
you
know:
what
are
my
parameters?
I,
don't
want
to
close
those
parameters
to
to
to
everybody
on
all
my
suppliers
or
or
anybody
I'm
supplying
to,
but
I
still
want
my
auditor
to
know
and
audit
based
on
that.
So
that
was
that
turn
that
came
out
to
be
a
clear
case
where
we
could
use
Baseline
for
generating
those
reports.
A
E
G
C
So
first
thing
is,
unfortunately,
this
word
might
not
reflect
the
reality
of
what
it
is,
but
this
is
there.
So
control
tower
doesn't
mean
that
anybody
is
controlling
things
in
the
organization
it
should
be
more
like
it
should
be
seen
as
collaborative
platform
is
more
collaboration
than
control,
just
clarify
that
part
and
to
the
second
part
of
the
question.
C
Yes,
the
full
purpose
of
this
is
that
multiple
parties
work
together
and
there
are
situations
where
you
need
multiple
party
within
an
organization
or
in
the
supply
network,
to
come
together
to
solve
certain
supply
chain
issues
and
I
have
even
developed
such
a
demo
in
metaverse
and
in
Gartner
Orlando,
because
if
you
take
a
situation,
there
is
a
Christmas
time
and
there's
a
PlayStation
high
demand
is
going
out
of
stock
in
one
part
of
North
America.
Now
how
you
solve
that
situation,
you
need
to
think
about.
Can
I.
C
You
know
ship
that
PlayStation
from
another
part
of
North
America,
another
state
or
can
I
get
more
from
China,
and
things
like
that.
So
you
have
store
managers,
you
have
Warehouse
managers,
you
have
your
Logistics
managers,
you
have
your
suppliers,
you
have
your
sales
guys
all
these
guys
coming
together
in
a
virtual
world,
in
matter
words
understanding.
What
is
the
situation?
Looking
at
various
solution
scenario?
C
C
F
I
think
too,
the
idea
of
digital,
Twins
and
Manufacturing
is
really
cool
as
well,
because
like
what,
if
I,
had
a
metaverse
equivalent
of
this
Baseline
hat
that
I
I
bought
right.
Because
that's
that's
the
that's
the
cool
thing
about
the
intersection
of
like
these
worlds
of
blockchain
and
metaverse
and
Manufacturing
as
well.
C
Yeah,
actually,
actually
in
Accenture
metaverse,
is
not
like
one
technology,
another
It's,
a
combination
of
all
these
Technologies.
That's
what
we
say
there
is
the
AI
there
is
blockchain
there
is
arvr
is
combination
of
all
these,
so
the
the
real
use
case
we
are
trying
to
develop.
We
are
trying
to
infuse
all
these
Technologies
to
to
really
change
the
experience
for
the
the
organization
for
the
end
users
and
so
on.
B
A
B
B
Jobs
and
t-shirt
and
Baseline
mugs
as
well.
You
know
I've
been
sending
by
the
way
pravesh
you're
gonna
get
it
very
soon.
I've
been
sending
Baseline
stuff
to
people
to
speakers
who
come
on
the
show,
okay,
so
and
yeah.
Let's,
let's
pick
up
the
questions,
only
we're
just
going
to
pick
up
the
question
from
the
chat
right
so.
G
C
C
G
C
F
Yeah
absolutely
EDI
is
a
great
example
of
a
really
it's
a
business
process.
That's
one
of
the
most
difficult
to
rip
out
and
replace
right,
because
you
actually
have
to
even
change
the
user,
behavior
and
system
behavior
and
what
I,
what
I
found
really
with
when
I
was
doing.
Pro-Ebc
work
was
that
you
know
baselining
an
EDI
IDOC
out
of
sap
was
a
huge,
beneficial
thing
because
of
the
kind
of
asynchronous
nature
of
that
messaging.
F
Those
are
that
that
proving
the
zero
knowledge
proving
of
that
day,
data
is
immensely
valuable
because
it's
you
know
by
its
nature,
with
EDI
you
kind
of
throw
data
over
the
fence.
If
you
will
and
like
did
the
supplier
actually
get
the
data,
did
they
map
it
correctly?
How
do
I
know
right
and
and
baselining
is
that
you
know
tool
that
lets
you
say
they
they
processed
it
well
and
there's
a
verifiable
witness
to
that
they
that
they
have
the
correct
state
of
data
right.
F
That's
you
know
when
that
dawned
on
me,
like
as
an
sap
person,
I
was
like.
Oh
my
goodness,
there
are
so
many
places
in
like
sap
implementations,
where
that
happens.
Like
professionals
like
describing
like
these
Supply
chains,
where
you
have
you
know,
sap
as
like
the
digital
core,
but
then
going
out
to
all
of
these
small
and
medium-sized
businesses
that
use
Excel
that
use
you
know
other
other
software
like
how
how
do
how
do
you
get
that
knowledge
of
that
they're
working
with
the
same
data
as
you?
A
F
G
A
C
A
C
So
control
tower
is
not
like
it's
able
to
predict
by
everything
in
your
organization.
The
control
tower
implementation
is
normally
use
case
driven,
so
you
you
decide
which
area
you're
gonna
implement
it
for,
for
example,
you
would
like
to
understand
the
inventory
situation
in
your
organization,
all
the
warehouse
inbound
outbound,
and
then
you
would
like
to
predict.
If
inventory
certain
invent
is
going
out
of
stock
and
then
figure
it
out
and
so
on
or
another
use
case
could
be.
C
You
would
like
to
have
a
view
of
end-to-end
order
management
and
if
any
order
delivery
is
delayed,
you
would
like
to
know
that
before
your
customers
start
calling
you
that
why
I
didn't
receive
my
order,
so
you
will
decide
those
use
cases
and
then
you
will
have
a
prediction
only
for
those
not
for
anything
else.
You
know.
A
B
A
D
We
didn't
really
touch
a
lot
of
supply
chain
focused
stuff
in
GM,
though
it
was
more
like
I
mean
I
did
a
handful
of
like
ETL
data
insourcing
projects.
Those
were
kind
of
interesting
then
like
some
work
on
like
the
GM
website,
so
not
a
lot
of
not
a
ton
of
supply
chain
stuff.
We're
actually
learning
a
lot
more
about
that
now.
D
But
it's
been
really
interesting
and
informative
to
hear
what
you've
been
saying.
Professional
I've
been
listening
and
taking
some
notes,
because
we
can
include
a
lot
of
this
stuff
in
our
enablement
material
for
supply
chain,
absolutely
so
yeah.
It's
it's
been
really
great.
Obviously,
I'm
not
saying
we
should
stop
the
show.
We
should
keep
listening
to
more
of
what
you
have
to
say,
but
it
would
be
cool
to
have
another
conversation
with
you
and
talk
more
about
synergies
and
what
you
guys
are
really
looking
for.
C
B
B
B
C
Yeah
yeah,
no
I
think
the
team
has
been
debating
when
they
were
deep
timing
into
all
the
different
blockchain
Technologies,
the
consensus
mechanism
and
so
on
and
and
then
they
thought
you
know,
is
there
some
thing
we
can
use
from
AI
perspective
some
patterns
which
could
be
learned
or
which
could
be
taught
to
the
system.
Yeah
then
from
there
something
can
be
done
and
and
as
I
already
made
a
disclaimer
in
the
beginning,
technically
I
know
nothing
very
limited
on
this.
The.
B
Yeah,
so
that's
very
interesting
to
know
provision.
Thank
you
so
much
for
sparing
time
I
mean
we
could
just
go
on.
You
know.
While
we
talk
about
Supply
scenes
on
the
Baseline
show,
as
I
said,
we
could
make
an
official
attempt
for
for
Guinness
record
for
saying
the
same
supplies
in
the
most
number
of
times.
But
you
know
here
is
here
is
something
which,
which
I
feel
we
should
be
doing.
Maybe
we
should
have
a
follow-on
chat
about.
B
B
C
B
C
B
Know
this
is
you
know
this
is
the
hold
my
beer
moment
for
me
on
the
show
today.
So
because
you
know,
let
me
let
let's,
let's
take
you
know
few
few
more
minutes
and
just
talk
about
double
click
on
that
what
you
just
said.
So
can
you
elaborate
a
little
more
what
is
and
their
data
sharing
and
why
is
it
not
scalable
currently
yeah.
C
C
B
That's
the
problem
statement
of
Baseline
protocol
and
we
seem
to
have
solved
it
some
some
work,
so
we
will.
We
will
see
you
pravesh
very,
very
soon
on
a
more
intimate
chat
with,
let's
say
some
of
us
and-
and
we
can
definitely
show
you
the
kind
of
stuff
that
we've
we've
done
so
far
and
we've
covered
so
far
and
seek
your
feedback
on
that.
Thank
you
very
much
once
again,
pravesh
for
making
time
for
this
call
for
this.
B
For
this
show
today,
people
who
are
watching
us
I
see
the
number
goes
up
and
down,
but
thank
you
very
much
for
staying
with
us
throughout
the
show
and
also
watching
us
after
you
know,
I'm
sure
this
show
is
something
which
we're
going
to
reference
a
lot
of
times
in
the
time
to
come.
So
so
people
are
watching
us,
please
do
like
and
subscribe
to
the
YouTube
channel.
It's
very
important
for
you
to
get
our
latest
updates
videos
we're
going
to
do
very,
very
short
videos
very
soon.
B
E
Really
I
mean
it's
we're
distilling
the
message,
that's
the
one
thing
you
know
that
we
gave
the
presentation
at
fintech
Defcon
in
Denver
last
month,
and
it
was
a
really
a
great
way
of
actually
pressure
testing
our
slide
deck
and
seeing
how
you
know
you
know
what
parts
of
the
message
landed
better
than
maybe
others,
some
that
might
need
to
be
improved.
Some
that
probably
need
to
you
know
slim
it
down
a
little
bit.
You
know,
brevity
being
the
soul
of
wit.
E
You
know
at
some
point,
so
you
know
we
want
to
kind
of
balance
that,
on
the
edge
of
that
coin,
to
where
you
know,
we
want
to
inform
them,
but
we
don't
want
to
bore
them.
So
you
know
and
really
that's
not
something
you
can
actually
do
in
a
yeah,
just
kind
of
a
jam
session
or
whatever
I
mean
it's
actually
go
ahead
and
do
the
laughs
actually
present
it
so
have
to
try
and
get
to
where
we
can
do
it
again.