- il y a 1 jour
UpskillingReskilling Future-Proofing Your Career in the AI Age
Catégorie
🤖
TechnologieTranscription
00:00Okay, so for the next panel, we're going to explore the specifics around skills and AI in the workplace.
00:09I'm joined by Judy Rante of Pollen and formerly of this parish,
00:16and Lisa Hannigan, our Global Chief Digital Officer for KPMG.
00:21So we are going to have a discussion about what skills we need.
00:25Before we start that, we thought we'd ask you.
00:27So originally, we were going to ask a simple yes-no question,
00:30but I think it would be great if you could give us an idea of the skills you think are
00:35most useful
00:36for working in an environment where AI is dominating or working with AI.
00:43So if you want to get your phones out and go on the app, I think you can contribute that.
00:47But first, let's start with you two.
00:52Lisa and then Julie, tell us a little bit about yourself and your work around AI and skills.
00:59Okay, so I'm Lisa Hannigan, as you said, Global Chief Digital Officer at KPMG.
01:05And within that responsibility, I'm responsible for driving the transformation of our business
01:10and the adoption of new technologies.
01:13And listening to your former panel, actually, I think we're covering very, very similar things.
01:19We have over 300,000 people globally, and we are rolling out the use of new technologies to them.
01:27And very importantly, around how they change the way they work,
01:31but we maintain our culture and the things that really matter to us.
01:37Hi, everyone. Hi, Lisa. I'm Julie. I'm the co-founder and CEO of Polen.
01:43Polen is a platform where everyone can learn from the best experts in their different fields,
01:50in data, in AI. We do a lot, but also in product, in sales, in marketing, in sustainability, and in
01:56leadership.
01:57Because what we believe is that, first, you need to train throughout your whole life,
02:02and not only when you start your job and before starting your job,
02:06especially when you see that today skills are obsolete within 18 to 24 months.
02:12And second, the best way to learn is to learn from experts,
02:16to learn from people who have their hands in the job,
02:20who are experiencing new methodologies, who are inventing new methodologies,
02:26who are also doing mistakes and who can share their mistakes.
02:29And when you talk about AI, you have a lot of self-acclaimed experts,
02:35but who have never experienced launching an AI product and dealing with an AI project.
02:41And when you talk and when you learn from that kind of experts,
02:44it's a whole different perspective that will enable you to gain a lot of time,
02:49because they will share the mistakes they've done.
02:51So we select these experts, and with our methodology,
02:55because we've learned how to learn better,
02:58we help them and we train them to become trainers on the side of their job.
03:03And so that's what we do with Poland.
03:05And before, I was running this event.
03:07So that's an interesting perspective,
03:09because I think a good point to start here is,
03:12we're not talking about AI taking all the jobs.
03:16We're not talking about AI taking over.
03:18It's going to be a symbiotic relationship.
03:19So what skills do we need to work with AI in that sort of environment?
03:25Well, can I just come in first?
03:27I mean, it's a really important point.
03:29And we have a way that we talk about this in KPMG.
03:33Very clearly, we say AI will not replace people.
03:38But people who use AI will potentially replace people who don't.
03:43And so therefore, what's really important is,
03:46how do you put AI into the hands of all your people?
03:49But then how do you give them those skills, as you say, to use it?
03:53The technical skills are the easy bit.
03:55The reality is, we all know, we get a new phone,
03:58and we very quickly adapt to the latest functionality
04:02and how we embed that into what we do.
04:04What becomes incredibly important for our people now is,
04:08and they aren't softer, and I heard the reference to this earlier,
04:12but they are really important non-technological skills.
04:16You know, we would talk about things like critical thinking,
04:21professional skepticism, ethical judgment.
04:25Those things are massively important when you're using tools like AI.
04:30So that's the focus that we certainly have,
04:33both with our clients and with our people,
04:35is how do we give them those skills.
04:37Yeah, I totally share this point of view.
04:39And that's also what we see in the request of our clients.
04:44We work with L'Oreal, Dr. Lee, Canal Plus,
04:48and many different companies, from scale-up to very large groups.
04:52And the two kinds of skills on which they want to train their employee on
04:57is, first, how to master the basic skills around AI,
05:03because it will enable you and everyone to be more productive,
05:07to focus on higher-value tasks.
05:11And so it's, for instance, the first one that is the most basic one
05:14is learning how to prompt,
05:16because we can all go on ChatGPT and ask the four questions,
05:19but you don't necessarily know how to prompt well.
05:23You need to give context, to give the background,
05:26to explain the situation.
05:27You need to be very directive and say,
05:29hey, this is what I expect.
05:31I want all the results to be in a table,
05:33or I want you to share with me some bullet points
05:37that I can put in a Google slide presentation.
05:40Oh, and by the way, what you are going to write to me,
05:43I'm going to explain it either to my boss
05:46or to my five-year-old kid.
05:48No, but really giving who, what is the target of your content
05:54and of what you are trying to do
05:56is one of the key dimensions that you need to share with ChatGPT.
06:00And then you need to know that you need to, it's a discussion.
06:04They share with you something,
06:05you need to challenge it and to ask further questions.
06:08So this is something that you need to learn.
06:10I mean, even if everyone,
06:11and even more lately with the voice introduction,
06:14you can ask questions,
06:15but you need to enter into that conversation.
06:18So this is the first dimension of skills that you need to master.
06:21and the second one is, like Lisa said,
06:24it's the skills that make humans unique.
06:28And what makes humans unique?
06:29It's the human centricity,
06:31it's empathy, critical thinking,
06:34it's ability to learn.
06:35And they will share with you a lot of knowledge.
06:38But what do you do with that?
06:39How do you transpose that into a concrete project,
06:43into reality?
06:44How do you manage people?
06:46How do you share your vision with people?
06:49Because we will lead other people into innovation.
06:53And so we need to be very clear on the direction
06:56and on the meaning.
06:58And that's, I think, one of the key things around AI.
07:00AI is only a tool.
07:02It's not an end.
07:03And what human has to do is saying,
07:05well, we will use AI to achieve that,
07:08this objective, this goal.
07:10and that's one of the key things
07:12and the key skills that we need to master.
07:14Can I just come in on that as well?
07:15Because what we've talked about so far
07:17is the individual interaction with AI
07:20and what you need to do.
07:21But there's the other dimension,
07:23that we don't sit on our own all day
07:25and actually just interact individually
07:27with whatever AI it may be.
07:29We're in meetings.
07:30And we've got multiple people.
07:32And we're engaging.
07:33So the other thing we have to do
07:35is be way more deliberate and thoughtful
07:37around how we engage within a discussion
07:40and how we help the AI
07:42to better understand what we need it to do
07:45in that context as well.
07:47You know, simple things like actions, decisions,
07:50or just making sure the clarity
07:53of the conversation comes through.
07:55AI is getting really, really good
07:56at reading around the edges and the sensitivities.
08:00But we can help it more.
08:02It almost feels like we have to train
08:04to be more human to work with AI.
08:07I like that.
08:08That's a nice thought.
08:09So it feels like we've only just gone through
08:11this era of digital transformation
08:13where every big company was transforming
08:15and using digital skills.
08:17How are they ready?
08:19How do they get ready to change to an environment
08:23where they're transforming into these AI-friendly skills
08:26that we've talked about?
08:28Do you want to start, Julie?
08:30Yeah, I think the first thing I mentioned
08:32is that they can use AI
08:35to map the skills they have in their organization.
08:39And depending on their strategic goals,
08:41and again, you need to relate to your mission,
08:44to the core of your business,
08:45and saying, okay, in five years I want to be there.
08:48What are the skills on the way
08:50that will be missing in the organization?
08:52AI is a great tool to do that.
08:55And then companies need to invest a lot,
08:59and that's what they plan to do.
09:01Recently, you've probably seen that Walmart
09:04decided to invest 1.2 billion
09:06in the reskilling of their companies.
09:10And most companies are choosing reskilling
09:13versus hiring or contracting with freelancers.
09:17So, I mean, the first thing that they need to do,
09:21mapping the existing skill, reskill,
09:24and be clear about the destination.
09:27And then a slightly adjacent thing to that
09:31is thinking about the business outcomes,
09:34because the skills then go with,
09:36well, what's the output?
09:37What is it we want to get to?
09:38What are we trying to achieve?
09:40So one of the things that we do
09:42is we have a framework,
09:44a framework that enables you
09:46to look across your organization,
09:48across the value chain,
09:49from how you market,
09:50the services that you have,
09:52how you deliver those services,
09:54how you disrupt your business,
09:55and then how you run it internally.
09:57And it's quite important
09:59that if you think about that,
10:00then you start to think,
10:01what's the opportunity with AI?
10:03And then you link that back to the skills
10:05and what you need to do for your people.
10:08But we have to,
10:09I heard in the last conversation,
10:11it's expensive.
10:11We all know AI is expensive.
10:14So you've really got to get focused
10:16on where you're going to get that value.
10:18And the change is accelerating.
10:21It's not slowing down.
10:23You're not going to get a pause.
10:24So it's also a case of,
10:26with everything changing so quickly,
10:28ensuring you've got progressive learning.
10:32It's continuous learning, isn't it?
10:34It's not about training courses.
10:36There are some which is training courses,
10:37but it's how do you embed that culture
10:40of the curiosity,
10:42the ability to try things.
10:44You know, we've taken a focus.
10:47We're just putting the tools in with our people.
10:49We're immersing them in the technologies
10:51really quickly
10:52so that then they start to see
10:54the opportunities of what they can do.
10:56We discussed this in the previous session,
11:00but you've also touched on it.
11:01There is a productivity gain.
11:03It's only about 2% at the moment
11:05that we're seeing,
11:05but it's definitely going to be significantly higher.
11:08So, and this might be more leadership than employee,
11:10but how do you train to utilise the productivity gain?
11:13Well, it's really important, isn't it?
11:14Because what are you going to do with what you get back?
11:17And it requires a very different way of thinking.
11:22When we were in COVID,
11:24we went through a period of thinking about the day
11:27and I introduced something called Rainbow of Meetings.
11:29And it was about people thinking about
11:31the experiences that you're going through the day
11:34to try and ensure
11:35that you're getting the most
11:37out of the different things that you're doing.
11:39So, where there's blue sky thinking
11:41as opposed to governance,
11:42as opposed to something
11:43where you just have to get through stuff.
11:45And I think with AI,
11:46you also have to become more deliberate
11:48about how you're using it
11:50to do some things
11:52within the sort of tactical day that you have,
11:56but then take that
11:58and apply that time
11:59to more of the blue sky
12:00or the creative
12:01or the innovative,
12:02all the time with people,
12:04something very different.
12:05But you've got to put the effort into planning that
12:08or you'll never do it.
12:09Can that be established as a company value
12:12or is that an individual value?
12:14I think it's both.
12:16Yeah, definitely.
12:17I think it has to.
12:18It's the responsibility of the employer now
12:21to make sure
12:23that because of the big challenge
12:25around talent retention,
12:27the company trains people
12:29so that when they leave the company,
12:32they are better than they used to be before
12:35and they are up to date on the skills market.
12:38When you look at the expectation
12:40of people in a company,
12:42there's one dimension
12:44that is around salaries and wage,
12:46but immediately after that,
12:49it's talent development,
12:51knowing that they are able to learn constantly.
12:54And it's not because you have access to Google
12:56or to chat GPT
12:57and you have access to knowledge.
12:58Okay, it's easy.
12:59But it's how also you become a better leader.
13:02It's how you better know how to use those tools,
13:06how you better train your teams
13:08because that's going to be
13:10one of the main responsibilities of leaders
13:12in the year to come,
13:14being able to transfer competencies,
13:16being able to share learning.
13:19And I think one of the other responsibilities of companies
13:21when we talk about AI
13:23and the development of AI skills
13:25is also to train,
13:27and this is more a responsibility towards society.
13:30It's how you train your teams
13:32to manage AI project in an ethical perspective,
13:37how you also train them
13:38not only to use chat GPT
13:40and launching AI product,
13:42but how you train them to identify the bias
13:45that can be embedded in any AI project.
13:49There are many examples on the market,
13:52even on the job matching using AI.
13:56Well, because it was programmed by men
14:01and with the past data that had a lot of bias,
14:05it automatically matched higher jobs
14:10with higher waves
14:11and higher responsibilities
14:13to main profile,
14:16even when men and women
14:17had the same skills.
14:20So we need to identify that,
14:22and we cannot just rely on what AI does,
14:25and that's one of the responsibilities
14:26of companies in training, I think.
14:28Yeah, it's the responsibility of companies
14:29and then the individuals.
14:31It's probably the biggest thing
14:32that we hear clients telling us
14:34is what's holding them back,
14:35because they're concerned about
14:37how to take advantage
14:39in a safe and trusted manner,
14:41and that trust is just really, really critical.
14:45It links back to the ethical judgment.
14:47How do you help your people
14:49understand how they do challenge it
14:51and feel they're in a culture
14:52that they can speak up
14:54and they can say,
14:55I'm not comfortable with this,
14:57and then engage with others?
15:00I don't think you should be feeling
15:02that you have to take
15:03those judgments individually.
15:04You need to use the teams
15:06and the diversity of thinking.
15:08Keeping the human in the loop.
15:10100%.
15:11Okay, so let's just go back slightly
15:13and talk about time,
15:15because if we're moving,
15:17and, you know,
15:18it's not in every situation,
15:19but we are in a society
15:21where in a lot of jobs
15:22you're judged by the amount of work
15:23you've done in a certain amount of time.
15:25That's going to change
15:26if AI is doing all those boring tasks for you.
15:29So how do companies, individuals, leaders
15:32prepare to manage a workforce
15:36where it's not just a tick-boxing exercise?
15:39Well, I don't think we have that today.
15:43I think there are places
15:46where it feels like that.
15:47If I look at professional services
15:48that I work in,
15:50it isn't about the hours
15:52that you've sat at your desk
15:53or you've been very busy.
15:54It's very much focused
15:56on the outputs and the outcomes.
15:58So I think, though, to your point,
16:01if you can get those even more quickly
16:04and it releases people,
16:05you have to make them feel
16:06that they can do something productive
16:08for themselves or for the community
16:10or for whatever in the time they get back.
16:12A modern equivalent of Google's 10% time
16:14where they gave people other projects to work on.
16:16And when you look at people's business
16:18like education or healthcare,
16:21I think the rise of AI in our day-to-day job
16:25will make the people working in the sector
16:28even more important.
16:31AI will never replace nurse,
16:33it will never replace teachers,
16:35it will never replace professional trainers.
16:38It will help, for instance,
16:39in the education center
16:41to map the existing skills,
16:43to suggest personalized learning programs,
16:46to enable to have repetition on learning
16:49after the process of learning.
16:51But the process of learning
16:53will be even more about the transfer of competencies,
16:57of skills from one human to another human.
17:00Because when you need to learn,
17:01you need to feel emotion.
17:03You need to be able to project yourself
17:05in what the other people is telling you.
17:08You need to listen to something
17:10that echoes to your own situation
17:12that you are experiencing.
17:14You need to be able,
17:14okay, he or she has experienced it.
17:17That's also what I'm experiencing.
17:19So I'm going to change that
17:20or I'm going to remember that.
17:22And because learning needs all that,
17:25it will make the role of teacher and trainers
17:28that is full of empathy,
17:30critical judgment and care
17:33even more important.
17:35And in the end,
17:36the impact of learning,
17:37the impact of care will be even better
17:39because it will be augmented
17:42thanks to the AI tools.
17:44Sorry, just a quick question for you.
17:46Do you think learning becomes more coaching than learning?
17:51Well, I think you have even more time.
17:54The teacher will have more time
17:56to do coaching after learning
17:58because AI will...
17:59So you need both.
18:00Exactly, because AI will enable the teacher
18:03and the trainer to save time
18:05in the preparation of the session,
18:07in the preparation of the content
18:08that is more broadly accessible.
18:10So it will have more time
18:12for a personalized approach.
18:14and I think that's one of the key success
18:16for the primary education system.
18:19Many classes have less people
18:22so that you have more one-to-one time
18:24with your teacher
18:25to give more personalized advice.
18:28And so you even more value
18:31the time that your trainer
18:32and your teacher spend with you.
18:34Do you still think there is...
18:37So you talk a lot about...
18:38And I completely understand that.
18:40Do you think there's still value
18:42in the AI learning?
18:44So the learner using AI
18:46to ask that stupid question
18:48they didn't want to ask
18:49the teacher or the coach?
18:52I think AI will help
18:54through the whole learning process
18:56because we said that learning now
18:58it's not just learning
18:59it's continuous learning.
19:01So AI will enable you
19:03you did a training
19:04you learned something from a human
19:06because that's how you learn better
19:08but then three weeks later
19:09maybe you will have forgotten something
19:11and you will want to learn on the job.
19:14There's something that is very important
19:15is that when you ask yourself a question
19:17we're not patient anymore.
19:19We want to have the answer right now.
19:22So there is going to be a lot of boards
19:25or personal assistants
19:26for sales, for marketing, for leaders
19:28to whom you are going to be able
19:30to ask questions throughout the way
19:32and that will enable you
19:34to anchor the learning
19:35that you will have experienced
19:38with a real person
19:39a few weeks or a few months ago.
19:42That's an interesting perspective on it.
19:44So let's talk about the skills
19:45going into work.
19:47New graduates,
19:49people just starting out in their career
19:51maybe people that have decided
19:52not to go to university.
19:54What should they be looking at?
19:55Are there different qualifications
19:57they should be looking for?
19:58Different skills they should start with?
19:59If you don't want to touch specifically
20:01on which degree paths
20:02they should go down, that's fine.
20:03But we sort of look at
20:04what general area
20:05they should be exploring.
20:07Well, it is definitely less
20:09about the specific skills.
20:12You know, what course have they been on?
20:13For me it is more about the things
20:15the problem solving,
20:17those other things we talked about,
20:18critical thinking,
20:20the curiosity,
20:22the openness,
20:23openness to learning
20:26and being able to take challenge.
20:29So it opens up the doors
20:33to a broader set of individuals.
20:36You know, we have a focus on apprenticeships
20:38and we're seeing, you know,
20:40very successfully bringing people in
20:43and they can then adapt
20:45and learn the skills way more quickly.
20:47English literature becoming the new MBA.
20:51Sam Altman,
20:53actually the founder of OpenAI,
20:56who's kind of an expert on the AI topics,
20:58said something really interesting on that
21:00is that the fuel is easy to access
21:04thanks to fossils.
21:05AI will give access
21:07to some form of intelligence,
21:10calculation, data analysis,
21:13basic text writing.
21:15So what we will be even more looking for
21:19is going to be the human-centric skills.
21:23And even him,
21:24who's, I mean,
21:25he spends, I think,
21:26his whole life online
21:27and coding and etc.
21:29He believes that in the years to come,
21:32those are the key skills
21:34that we need to develop
21:35right from the very young age
21:37and people will even more look for
21:40people experience
21:41and getting to see each other.
21:44And I mean,
21:45when you see the number of people
21:47that you have in the LA's here,
21:49I mean,
21:49you see that the physical
21:50and the in-person experience
21:52cannot be replaced
21:53because as much as we get more connected
21:58with AI and with digital tools,
22:01we need also to reconnect to our peers,
22:04to develop our creativity,
22:07to share emotions
22:09and to grow as human beings.
22:11But that puts an onus on leaders
22:14within the businesses
22:15of how are you going to help
22:16the people coming in
22:18to develop those human-centric skills,
22:20to develop the ability
22:21to have the judgment
22:23and those things.
22:24So it does mean
22:25for leaders of businesses,
22:27you're going to have to be very visible,
22:28you're really going to have to think
22:30about how you engage with your people
22:32and take them on that journey.
22:34And I think that we're looking
22:35at the word cloud now
22:36because we seem to have got that back.
22:38And adaptability seems to be
22:39the biggest word on the word cloud.
22:41And I think that seems to sum up
22:42a lot of what we discussed.
22:44Yeah, when you see that skills now
22:46have a lifespan of 18 to 24 months,
22:50constantly we will need
22:51to challenge ourselves.
22:53Okay, we were doing it
22:55this task in this way,
22:56we will need to change.
22:58And that's okay.
22:58We need to challenge ourselves
23:00and say,
23:01I have to forget what I was doing
23:04and start doing it in another way.
23:05And we want people
23:07that will be excited about that,
23:09that will be excited
23:11by this challenge
23:11of continuous learning.
23:14And those people
23:15are going to lead
23:16the future of organizations.
23:17And I love that.
23:18I love adaptability
23:19because to me,
23:20that's opportunity.
23:21That's people who see
23:22you could do anything,
23:24you could move forward,
23:25you could learn new things
23:26and not lots of tech.
23:28Yeah, and a lot of the responses
23:31on there
23:31aren't technical skills
23:33or practical skills.
23:35They're sort of soft skills,
23:38human skills,
23:38I should call them.
23:39So let's finish up
23:41with each of you.
23:42What are the two or three
23:44most important skills
23:45you've learned yourself
23:46or had to adapt yourself
23:48in the last sort of 18 months
23:49of working in this
23:51more AI-driven environment?
23:53Well, if I have to select two,
23:55I would say learning
23:56how to prompt
23:57because as we said,
23:59it has become
24:00some kind of a basic
24:01if you want to have
24:02some kind of personal assistant
24:03to be more productive.
24:05And I'm sure
24:06you've all experienced
24:07bad prompting.
24:08And when you understand
24:10that there's some kind
24:11of a canva
24:11that you need to follow,
24:13then it makes things
24:14much easier
24:15in your conversation
24:16with ChatGPT
24:17and all his friends.
24:19And the second one
24:20is learning how to learn.
24:22It's also directly connected
24:24to what we do at Poland.
24:25And I've been doing
24:26a lot of research
24:27on how to best enable
24:29people to learn.
24:30But it has also
24:31unlocked things
24:32in my mind
24:33on how do I use best
24:37my mind
24:37to figure out
24:41how I can use
24:42this knowledge
24:43and how I can put it
24:45into application.
24:46Again, it's emotion,
24:48ability to project ourselves,
24:50repetition,
24:51and experience,
24:52ability to fail
24:53and with all
24:55these four factors.
24:57Sorry, we're almost
24:57up.
24:57Just one word
24:58from you, Lisa.
24:59All right, Lisa.
25:00No, integrating it
25:02into the way
25:03that I work
25:04every day.
25:05Fantastic.
25:06Thank you very much,
25:07both of you.
25:07That was fascinating.
25:08Thank you.
25:09Thanks a lot.
25:14Thanks so much
25:15to you, Ryan,
25:16and to your panel
25:16for that session.
25:19This wraps up
25:19our discussions
25:20here on stage four,
25:22but it doesn't end here
25:23if you're thinking
25:24of leaving.
25:25No, in fact,
25:25we're going to take
25:26it up a notch now.
25:27We're going to have
25:28an interactive
25:29Ask Me Anything
25:30with Carol Stubbings
25:31of PwC.
25:33We're going to be
25:33talking at the bar
25:34in a much more
25:35intimate format
25:35over there.
25:36and I'm going
25:37to be giving you
25:38the microphones,
25:39okay?
25:40So get ready
25:41with your questions
25:42for Carol Stubbings
25:43at PricewaterhouseCoopers
25:44PwC in just a few minutes.
25:46Thank you.
Commentaires