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From YouTube: OpenShift Commons Gathering Red Hat Summit 2018 Intesa San Paolo Machine Learning Case Study
Description
Alessandro Conconi of Intesa San Paolo presents their Machine Learning and OpenShift Case Study as part of OpenShift Commons Gathering Red Hat Summit 2018 What's Next on OpenShift Panel - moderated by Brian Gracely (Red Hat)
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Create
every
way
drugs
million
technical
and
we
use
with
you
type
of
technology
for
christmas
interior
fashion,
this
type
of
organization
and
it's
true
new
business
model
and
android
to
create
modify
internet
boxes.
Four,
the
liver
misnutah
of
passion
both
to
groups.
The
main
challenge
is
to
win
for
manager.
You
are
for
me
new
world
machine
learning
model.
Usa
has
already
the
devolves
lampen
weekend
yeast
view
both
inefficient,
fixed
sites
way.
We
must
guarantor
en
islands,
shaun
execution
of
different
machine
learning,
moodle
insein
machine.
A
League
easy
way
with
love
and
forth
four
e
spose
dei
modem
in
two
way
and
will
begin
to
build
news.
New
system
of
monitoring
and
logging
2
t
high
end
stream
of
analysis
of
love.
We
guarantee
a
sailing
sharing
module
and
we
guarantee
a
new
way
for
skate.
This
type
of
software
wii
start
to
create.
They
saw
well
really
in
alloy
si
systems,
shuttle
and
morally
in
losing
you
to
machine,
but
very
soon
discover
bet
so
standoff
different
models
with
in
euro
languages.
is
very
here.
A
A
Try
to
move
vista,
ai
pozzi
off
workload.
I
nine
shift
in
open
shift
weekend
news.
The
islands
shaun
guaranti
from
contain
images
for
muntain,
indifferent
and
islands,
way
by
friends
models
quiete
a
su
steam
and
gb
il
darfur.
El
image
for
language
is
for
great
big
baby
face
easy
way.
We
can
use
the
a
beirut
and
rennes
by
aids
posing
off
by
ios
of
this
type
of
modern
and
away
fa.
A
Using
kitten
jenkins
integration
with
a
word
platform
weekend
create
easy
way
for
great
both
sites
pipeline
for
four
by
liverpool
tajkov
way
and
next,
and
that
is
right
of
a
new
year
for
a
free
to
air
colleagues,
sachs
and
spark
kerr
foreword
por
run
hercod
a
distributed
spark
and
cluster
reply
to
install
aduc
works,
distribution,
non
open
gift
and
so
to
his
experiments.
Memphis
and
gpu
feature
for
use
in
deep
learning
software
software.