00:00:00
welcome today's session on humans and
00:00:03
machines in
00:00:05
Industry so we all know that Ai and
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other fourth Industrial Revolution
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Technologies can improve production
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Targets in manufacturing that's
00:00:18
clear but they can also either empower
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the workers in those factories or they
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can disempower them and this is what
00:00:28
we're going to be focusing on on today
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for example
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exoskeletons have allowed a new class of
00:00:35
workers into the warehouse for example
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women who may not have been able to lift
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those heavy loads without the support of
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an
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exoskeleton but they can also disempower
00:00:48
workers as they no longer have the
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technical
00:00:53
expertise which has changed to do their
00:00:56
jobs likewise in terms of workers
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satisfaction they can either Empower or
00:01:04
disempower they can Empower workers who
00:01:07
have been helped to keep up their
00:01:09
technical expertise and who feel proud
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of what they're able to
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do or it can disempower workers who feel
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that they no longer are as competent as
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the machines that are acting for
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them it is therefore extremely important
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to treat questions of both machines and
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workers on the factory floor and today's
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session is part of the world economic
00:01:39
Forum initiative on
00:01:42
manufacturing and it's an important
00:01:46
topic that they're treating as
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well so we're going to do something a
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little bit different
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today we're going to go straight to two
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Factory floors one in Germany and one in
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Malaysia and we're going to hear from
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workers themselves so let's start first
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with the factory floor of agilant in
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Germany
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we introduced an automatic scheduling
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system with realtime output simulation
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connecting to our Workforce this
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eliminates production scheduling
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allowing fast response and quicker
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decision making to customer changes
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avoiding productivity
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losses in the manufacturing control
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center these changes enabled us to react
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quickly to a changing
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[Music]
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environment our AI Library combines
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sensors and standard cameras to help us
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detect unknown interdependencies a
00:03:19
standardized toolkit means we can
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Implement Solutions within weeks now we
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can detect anomalies and respond faster
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to process and part
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deviations
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AI is a game changer for us with our
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pre-trained AI models and open source
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libraries we deployed five applications
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in less than four months now inspecting
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140,000 Parts a
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year AI based early prediction of
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possible outcomes for over 1,000 test
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parameters helps to manage test
00:04:28
complexity our inative test system
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detects deviations early fast decision
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making allows efficient and effective
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quality
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control it's the best
00:04:51
team I started working on the shop floor
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and later furthered my career through
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four IR Technologies with this this
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skills I can find Solutions using
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process Automation and
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AI I think the
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[Music]
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best okay thank you for that flyth
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through of your factory floor I'd like
00:05:24
to ask you a couple of questions about
00:05:27
what you've just shown us Sven can you
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tell us more about the digital Journey
00:05:33
that the factory traversed to come to
00:05:35
where it is
00:05:38
today absolutely and a warm welcome um
00:05:41
from ailand to the Bose and the
00:05:42
community Bel Justine in our
00:05:44
manufacturing digital Journey we've
00:05:46
praised a transformative approach where
00:05:48
we integrating Ai and Robotics not just
00:05:50
to enable production targets but to
00:05:52
augment our Workforce in order to
00:05:55
enhancing efficiency and creativity our
00:05:58
Focus has been on developing veloping a
00:05:59
collaborative environment where machines
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handle repetitive tasks empowering our
00:06:03
people to engage in more fulfilling and
00:06:05
Innovative roles such as smart Factory
00:06:07
developer manufacturing execution
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systems Engineers or data engineers and
00:06:12
data analysts ethically we're mindful of
00:06:14
the importance of putting people at the
00:06:16
center of the transformation we're
00:06:18
dedicated to upskilling our Workforce
00:06:19
and building a culture that supports
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diversity encourage creativity and build
00:06:24
trust this ensures worker satisfaction
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in essence our manufacturing digital
00:06:28
journey is it's more than just
00:06:29
technology adoption it's about creating
00:06:31
a future ready ethically responsible and
00:06:34
sustainable manufacturing ecosystem that
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creates synergies between human
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creativity and machine position for our
00:06:40
people that's great thank you Sven sudar
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Shana can you tell us more about the
00:06:45
interaction that you mentioned in the
00:06:47
video between order fulfillment and your
00:06:50
R&D
00:06:53
team absolutely and thank you for the
00:06:55
question because I think this is an
00:06:57
absolutely critical collaboration and
00:06:59
why is it critical well because
00:07:01
ultimately it's going to create and is
00:07:04
creating new ways of working to ensure
00:07:06
that we have the digital lab of the
00:07:08
future because ultimately where our
00:07:10
development teams Drive The Cutting Edge
00:07:13
technology order fulfillment drives that
00:07:15
towards real world application through
00:07:18
scalability and so this team not only
00:07:21
works towards accelerating The
00:07:22
Innovation but we're also able to tailor
00:07:24
solutions for the life science Industry
00:07:26
together and when we do that we form the
00:07:28
Unstoppable team and then that enables
00:07:31
more meaningful contribution and then
00:07:33
ultimately that boosts motivation and
00:07:35
job satisfaction so it's really
00:07:37
important to recognize that our joint
00:07:38
efforts ensures that all of these
00:07:40
advancements that we're making meets the
00:07:42
industry's Practical needs so I I view
00:07:45
that Synergy between our manufacturing
00:07:47
and our R&D teams to be crucial for
00:07:49
digitizing our industry because
00:07:51
ultimately we're leveraging each team
00:07:53
strengths to drive the Innovation
00:07:55
efficiency and reliability and so I I
00:07:58
see it more than than just two
00:07:59
collaborating functions we actually have
00:08:02
a unified vision and ultimately that's
00:08:03
what's going to drive the digital
00:08:05
evolution in life sciences that's great
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thank you and Julia you started out
00:08:10
working on the shop floor if if I
00:08:12
understand correctly can you talk about
00:08:14
your journey from the shop floor to
00:08:17
Bringing together Ai and
00:08:19
automation what kind of upskilling in
00:08:22
fourth Industrial Revolution
00:08:23
Technologies you engaged in and how
00:08:26
that's changed your
00:08:28
career
00:08:30
yes I starting as a production operator
00:08:32
after Middle School I was always
00:08:34
fascinated by the shop floor my journey
00:08:37
took a turn when I learned about digital
00:08:39
tools and automation this one more than
00:08:42
carrier advancement it was about feeding
00:08:44
my interest and passion for Innovation
00:08:47
engaging with 4 I Technologies really
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changed my job I went from observing
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machines on the shop floor to
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integrating cutting egg Solutions into
00:08:55
our process it's a thrilling experience
00:08:58
to see my ideas improve our work and
00:09:01
deliver results upskilling has not only
00:09:03
propelled my career but also boosted my
00:09:06
confidence you can change your career no
00:09:09
matter where it starts that's lovely
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thank you and Gabrielle we've heard some
00:09:15
pretty exciting things here but this is
00:09:17
not necessarily an easy task to convey
00:09:21
to the workforce how do you bring the
00:09:23
workforce along with you on this digital
00:09:28
Journey yeah that's really a key element
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right so effective change management in
00:09:33
our digital transformation Journey
00:09:35
really relies on three key pillars our
00:09:38
internal School of
00:09:40
digitalization uh digital Champions and
00:09:42
a vibrant digital ecosystem our school
00:09:45
of digital Innovation provides a
00:09:46
tailored immersive learning to our
00:09:49
employees helping to shape a mindset
00:09:52
that's open to the digital possibilities
00:09:55
and The Innovation our digital Champions
00:09:58
they play a critical role as change
00:10:00
change agents they are not just the tax
00:10:03
heavy individuals but also passionate
00:10:06
about guiding their peers through this
00:10:08
digital shift making the transition to
00:10:10
digital thinking more uh relatable and
00:10:13
achievable and lastly our digital
00:10:17
ecosystem facilitates networking offers
00:10:20
access to subject matter experts and
00:10:23
exchange of solutions it's about
00:10:25
creating a community where digital
00:10:27
knowledge and innovative ideas are
00:10:30
shared freely that's great that
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Community aspect of things I think is
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essential and in that uh context I'd
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really like to thank you all for showing
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us how you work and for sharing
00:10:42
agilent's uh path till today and clearly
00:10:45
into the future thank
00:10:48
you our pleasure thank you too so I'm
00:10:53
next going to welcome Christine basan
00:10:57
from Western Digital and I think we're
00:10:59
going to say goodbye to you there we go
00:11:01
and say hello to Malaysia thank you for
00:11:03
joining us I know there's a considerable
00:11:05
time difference so thank you for being
00:11:06
here with us Christine is the chief
00:11:10
people and sustainability officer for
00:11:13
Western Digital she's going to show us
00:11:15
around their shop floor and she's going
00:11:18
to speak with uh their workers to
00:11:20
explain how their Journey has uh happen
00:11:23
to bring us to today thank you Christine
00:11:25
please join me and I'll leave you here
00:11:31
it's my privilege to be here today
00:11:33
representing Western Digital and
00:11:35
speaking to all of you about the
00:11:38
workforce and
00:11:39
Manufacturing and while we'll obviously
00:11:42
be talking about the tech that powers
00:11:44
these advances it would be shortsighted
00:11:48
if we did not also discuss what it means
00:11:51
to truly Empower a Workforce with these
00:11:54
new
00:11:55
technologies advances in AI machine
00:11:58
machine learning cloud computing
00:12:01
Internet of Things big data and
00:12:03
analytics are all accelerating the
00:12:06
fourth Industrial
00:12:08
Revolution these Monumental shifts will
00:12:11
touch every industry and they will
00:12:14
undoubtedly have a profound impact on
00:12:17
the future of
00:12:18
manufacturing but how do we ensure that
00:12:21
we're implementing
00:12:23
Tech that helps companies achieve
00:12:26
operational
00:12:27
efficiency
00:12:29
but also are designing Solutions Around
00:12:32
The Human Experience at work and that
00:12:35
we're unleashing new technologies in a
00:12:37
more responsible and inherently
00:12:40
inclusive and Equitable way it's from
00:12:43
this place that we can start to
00:12:46
reestablish trust with our people our
00:12:49
digitally enabled world has disrupted
00:12:52
the opportunity for those serendipitous
00:12:55
interactions and the organic communities
00:12:58
that are born
00:12:59
out of our social exchanges have been
00:13:01
completely
00:13:03
disrupted and we see that trust is being
00:13:05
further eroded as companies begin to
00:13:08
implement Technologies like AI with
00:13:12
employees viewing these as technological
00:13:14
gains for our companies that will come
00:13:17
at their
00:13:18
expense it's our aim to cultivate an
00:13:22
augmented Workforce who delivers
00:13:24
business
00:13:25
value through improved job satisfaction
00:13:28
and more meaningful work to demonstrate
00:13:32
how we're using the technology to
00:13:34
revolutionize the way that we work in
00:13:37
our factories I want to take you to one
00:13:39
of our manufacturing facilities in P
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panang
00:13:43
Malaysia this facility is the first
00:13:46
Global lighthouse in Malaysia and the
00:13:48
first sustainability lighthouse in
00:13:51
Asia I am pleased to be joined by Kale
00:13:55
Bach who has been at the Forefront
00:13:57
leading the the transformation of our
00:13:59
Factories at Western Digital hello
00:14:06
KL hello Christine it is great to be
00:14:09
coming to you live from
00:14:11
Pang at the panang Factory you really
00:14:15
charted what we call lights out can you
00:14:19
explain what that means and what drove
00:14:25
you sure Christine lights out is about
00:14:28
all about streamlining the shop floor
00:14:32
with minimal human involvement such that
00:14:35
you can run Manufacturing in the dark
00:14:37
like
00:14:38
this so in the past we heavily rely on
00:14:41
labor intensive manual process manual
00:14:45
setup manual process control and
00:14:48
operators moving work in progress
00:14:51
material
00:14:53
around so to transform that we embrace
00:14:57
the for industrial re
00:14:59
Revolution big Technologies like
00:15:02
robotics artificial intelligence
00:15:05
internet of sensors Internet of Things
00:15:08
sensors machine learning and machine
00:15:11
integration to name a
00:15:14
few so it all began with identifying the
00:15:18
main problem in manufacturing repetitive
00:15:21
quality problem and
00:15:24
nonoptimum operational
00:15:27
performance for I question which task
00:15:31
often mundane and repetitive could be
00:15:34
done more efficiently by robotic
00:15:38
automation our goal is to find the
00:15:41
sustainable
00:15:43
scalable that bring consistency
00:15:46
predictability and optimize performance
00:15:50
as a result of our light out approach we
00:15:53
reduce Factory costs by
00:15:56
32% decrease manufacturing Le Time by
00:16:00
50% and increase employee productivity
00:16:05
by aing
00:16:09
360% wow that is a great segue KL into
00:16:13
my next question for you so a common
00:16:16
refrain is that machines will replace
00:16:18
people when in fact we very much still
00:16:21
need people but we need them in new and
00:16:24
different roles so how are we upskilling
00:16:27
and reskilling our employees
00:16:32
thanks Christine so people at the heart
00:16:35
of any
00:16:36
operation our Workforce Development
00:16:38
program is something that I'm proud of
00:16:42
because it gives everyone a chance to
00:16:44
progress in their
00:16:46
career we provide upskilling and
00:16:48
reskilling opportunities through on job
00:16:52
training technical classes gamification
00:16:55
workshop and partnering with
00:16:58
universities and
00:17:00
colleges as a result of that nearly half
00:17:03
of our staff has undergone up Skilling
00:17:07
with no job
00:17:08
losses so we believe in promoting our
00:17:11
people from within moving them up from
00:17:14
operators to technician and then from
00:17:17
technician to Engineers making them a
00:17:20
full pledge knowledge
00:17:27
worker thank you KL it really is about
00:17:31
giving people an opportunity for more
00:17:33
meaningful work and upward Mobility now
00:17:36
that we have seen the technology work
00:17:38
let's give you all a view into how our
00:17:41
people work in this environment let's go
00:17:43
to the control room with Jackie Jung who
00:17:47
is responsible for our four IR
00:17:49
Technologies and corporate
00:17:52
sustainability hi
00:17:54
Jackie to start I want to understand
00:17:57
what drove you to relentlessly pursue
00:18:00
the transformation of our manufacturing
00:18:01
practices and ultimately the global
00:18:04
lighthouses at five of our
00:18:11
factories thank you
00:18:13
Christine leading the transformation
00:18:15
from the Inception there's always this
00:18:17
lingering question about well how do we
00:18:20
know what good looks like so it was my
00:18:23
passion to Benchmark and understand our
00:18:25
progress on a global stage I found World
00:18:28
economic forum's Lighthouse Network an
00:18:31
excellent
00:18:32
platform I know that by undertaking for
00:18:35
IR transformation could help us achieve
00:18:38
three strategic objectiv first it enable
00:18:42
operational efficiency that ultimately
00:18:44
translate to the profitability of the
00:18:47
company and second we could improve the
00:18:50
quality of the work of our people by
00:18:52
eliminating Munday and repetitive task
00:18:55
give them more value add work and
00:18:58
finally implementing Innovation making
00:19:01
sure that the employee were part of the
00:19:04
transformation will make them feel proud
00:19:06
for the company they work for I
00:19:09
stationed in a fi Factory for many years
00:19:12
bringing that value to the people whom I
00:19:14
work hand inand with is very important
00:19:18
for
00:19:19
me thank you Jackie for taking that
00:19:22
initiative and having the foresight to
00:19:24
recognize that opportunity to
00:19:26
revolutionize our manufacturing for the
00:19:29
betterment of the company and our
00:19:31
employees I know that you're joined by
00:19:34
some of our operators and Engineers
00:19:36
today they will tell us more about how
00:19:39
they use the technology and their
00:19:45
role yes I'm very excited to be joined
00:19:49
here by Rafi one of our operator here
00:19:52
hello Rafi hello Jai could you tell us
00:19:54
how your job has evolved ever since we
00:19:57
implemented life eyes out sure JK so in
00:20:00
the past I had to handle repetitive
00:20:02
stuff manually and station on the
00:20:05
production line to response to Mission
00:20:07
alarm one at a time but now I can assess
00:20:10
Mission around I can ass Mission
00:20:12
remotely from my station and quickly
00:20:14
addressing alarm without moving around
00:20:16
if I can't feel an issue I can alert the
00:20:18
technician via the smartw watch for
00:20:20
troubleshooting this setup allows me to
00:20:23
work much more
00:20:24
efficiently well that's great so your
00:20:27
job has changed from the factory flooor
00:20:29
to the control room him how has it
00:20:32
changed your view about your job
00:20:34
opportunity and Prospect so uh what I
00:20:37
value the most is that I have a new set
00:20:40
of skill that I did not have before that
00:20:42
I can continue to build upon each skill
00:20:45
that I have learned have paved the way
00:20:47
from my continuous growth and
00:20:49
advancement in my career that's
00:20:51
excellent thank you Robie now let's talk
00:20:54
to Charles one of our engineer here hi
00:20:56
Charles hello Jackie well I see uh three
00:20:59
stations control room stations two of
00:21:02
them with a chairs with operator working
00:21:04
on them while this one I see screens
00:21:07
moving no chair no operator so how
00:21:10
What's Happening Here certainly Jackie
00:21:12
allow me to
00:21:15
explain with this station we've
00:21:18
Incorporated AI to work smoothly behind
00:21:21
the scene the AI algorithm effectively
00:21:23
deal with the common Errors By
00:21:25
automatically suggesting troubleshooting
00:21:27
steps an operational procedure for the
00:21:29
machines and this algorithm keep
00:21:31
learning from Real Time challenges
00:21:33
addressed by our control room stuff like
00:21:35
this ICS operator behind it you know
00:21:38
Jackie I'm really excited about learning
00:21:40
and implementing new technologies that
00:21:43
can significantly boost inell and
00:21:45
efficiency of our operations well I can
00:21:47
really see your excitement here I'm so
00:21:50
thrilled well um Christin you can see
00:21:52
that we have architected a very
00:21:54
broad-based transformation to positively
00:21:57
impa
00:21:58
employees at all levels the operator
00:22:01
technician engineers and management like
00:22:04
us we have created the capacity to work
00:22:07
remotely and intelligently which
00:22:10
enhances operational flexibility
00:22:12
mitigate errors and Foster a less
00:22:15
stressful work environment it also
00:22:18
created space for growth and Innovation
00:22:21
so that we can unleash the full
00:22:23
potential of all of our employees and
00:22:27
this is how we scale to the entire
00:22:30
company thank you Jackie KL rafie and
00:22:35
Charles as I wrap up I will leave you
00:22:38
all with this just by the nature of
00:22:41
being in this room we are all owed with
00:22:44
a certain amount of privilege that we
00:22:47
have a responsibility to create positive
00:22:50
and sustainable
00:22:52
change and if we continue to implement
00:22:55
Advanced Technologies like the ones that
00:22:57
we've talked about about today it
00:22:59
demonstrates an Ever growing need to
00:23:01
marry our technology and people planning
00:23:04
so that we continue to operate on the
00:23:07
edge of innovation and grow our
00:23:09
businesses while making sure that people
00:23:11
are at the center of everything we do
00:23:14
that's great thank you so much that's
00:23:16
lovely and it's lovely to talk to you in
00:23:18
panang I I do have one question so my
00:23:21
own research is on building AI systems
00:23:24
that collaborate with people rather than
00:23:26
replacing them and I know from the
00:23:29
organizational psychology literature
00:23:31
that one thing that we can lose in or
00:23:35
that I would worry about losing in a
00:23:37
factory that's called lights out is the
00:23:40
social bond between workers because
00:23:42
research shows that social bonds both
00:23:44
improve satisfaction and performance on
00:23:47
the job so do you have you lost those
00:23:51
bonds between workers and if not what do
00:23:53
you do about
00:23:54
that and I'll I'll ask Jackie I guess
00:23:57
thank you
00:23:59
thank oh sure uh thank you Justine um
00:24:03
you have a very insightful point and
00:24:06
also understand our challenge here uh we
00:24:09
have here uh implemented a
00:24:11
multi-dimensional approach by creating
00:24:14
physical spaces and implementing
00:24:17
structure
00:24:18
mechanism also nurturing collaborative
00:24:22
projects and recognizing employees
00:24:25
contribution so let me explain a little
00:24:27
bit more
00:24:28
first we create a dedicated space we
00:24:30
call it the agile Studio this serve as a
00:24:34
big Hub that employee across different
00:24:36
shifts to collaborate to innovate and
00:24:40
undergo
00:24:41
training then we establish a structure
00:24:44
mechanism to facilitate cross shift
00:24:47
collaborations operators technicians
00:24:49
engineer and supervisor they have the
00:24:52
opportunity to convene self assemble and
00:24:56
collectively work on project relevant to
00:24:59
their respective areas this could be
00:25:01
addressing a productivity problem a cost
00:25:04
challenge quality issues You Name It We
00:25:08
actively nurture this project by
00:25:11
providing necessary resources and
00:25:13
recognitions the completed project will
00:25:16
be showcased to a broader team on a
00:25:18
quarterly basis for awareness and Broad
00:25:21
implementation thank you so much Jackie
00:25:24
for this this is revealing and very
00:25:27
impressive
00:25:28
so thank you for joining us from panang
00:25:31
um it's it's striking to me that both
00:25:34
factories are working on fault detection
00:25:37
which is an
00:25:38
important uh system or an important
00:25:41
problem that we've worked on using AI
00:25:44
systems but in Fault detection you can
00:25:47
also think about human
00:25:50
Workforce as a human detection system
00:25:53
how do we ensure that humans remain at
00:25:56
the centry center of the workforce as
00:25:59
they are at the center of the society
00:26:03
that uses those tools and you've shown
00:26:05
us some impressive ways that you've
00:26:07
addressed that but I'd like to hear from
00:26:09
the rest of you if you have uh examples
00:26:13
from your own work or other comments
00:26:16
that you'd like to make on what we've
00:26:17
seen
00:26:25
today happy to go please so um we have a
00:26:29
company that U develops AI for
00:26:32
Enterprise and it's been an interesting
00:26:34
conversation this whole
00:26:35
replace this whole question of replace
00:26:38
versus
00:26:39
augment um I mean there weren't a lot of
00:26:42
people on that factory
00:26:44
floor you know so it's hard to say
00:26:47
people at the center of it if you can't
00:26:49
see
00:26:50
them uh so I think it's one of those
00:26:52
questions and I guess what what we found
00:26:54
out is there are use cases where the
00:26:57
objective
00:26:58
is absolutely people reduction and it's
00:27:00
good to be honest about that and then
00:27:03
there are other ones where it's about um
00:27:05
expanding the capacity to grow and you
00:27:07
can be honest about using AI to you know
00:27:11
if you it's difficult to get talent and
00:27:13
you can have combinations of humans and
00:27:15
AIS that have the ability to have five
00:27:17
times the productivity for example but I
00:27:19
found it's like um when the language
00:27:22
isn't honest about it it actually
00:27:24
destroys the trust you know so it's very
00:27:27
difficult to say people at the center of
00:27:28
it when you actually don't see any
00:27:30
people on the floor I'm sorry so people
00:27:32
no people at the center is an important
00:27:34
point and trust is essential to all of
00:27:38
this we lose worker trust we lose our
00:27:41
Workforce and we lose who we work for I
00:27:44
think that's absolutely true um you
00:27:46
talked about uh being honest about
00:27:49
losing people and also upskilling and
00:27:53
those those two you've you've acted as
00:27:55
if we lose a part of the workforce we up
00:27:57
skill um part of the workforce but in
00:28:01
fact AI tools are helping many factories
00:28:04
engage in that upskilling so uh I think
00:28:07
it was Jackie who talked about
00:28:09
gamification of upskilling so AI tools
00:28:13
can do OnDemand educational
00:28:16
opportunities for example but I
00:28:18
absolutely agree that trust has to be
00:28:20
kept Central other
00:28:26
comments
00:28:34
I think these are excellent examples of
00:28:36
what's being done today and I'd like to
00:28:39
know just from a show of hands how many
00:28:42
of you are actually involved in um
00:28:46
manufacturing
00:28:49
period great and how many of you are
00:28:52
involved in moving your manufacturing
00:28:55
processes towards
00:28:58
the Future Let's just let's make that
00:28:59
more specific because everyone's moving
00:29:01
towards the future we don't really have
00:29:02
any choice how many of you are engaged
00:29:05
in using Ai and other fourth Industrial
00:29:08
Revolution tools to move manufacturing
00:29:12
forward great so I'm GNA call on
00:29:14
you what are you
00:29:17
doing chocol sweet
00:29:22
business that's great
00:29:24
yeah other examples both of successes
00:29:29
and problems that you're struggling
00:29:35
with you're a very happy and satisfied
00:29:38
group of people I have to say either
00:29:40
that or you came straight from lunch and
00:29:41
you're hitting your
00:29:43
downtime so I thank you all for joining
00:29:46
and uh for your comments and I hope
00:29:49
you'll continue this conversation I was
00:29:51
remiss in not mentioning the fact that
00:29:54
this is an initiative of the advanced
00:29:56
Manu ufacturing and supply chain center
00:30:00
of the world economic forum and that
00:30:03
they are benefiting from the work of the
00:30:06
initiative on transforming the workforce
00:30:10
of the future so manufacturing the
00:30:12
workforce of the future thank you so
00:30:14
much I wish you an excellent uh both
00:30:18
happy and successful rest of the day in
00:30:20
Davos and rest of the week thank you for
00:30:23
joining
00:30:26
us
