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  • As you think about your talent and your workforce for the age of AI and where we're moving

  • to, there's a few things that are very important to think about.

  • I think about two broad categories of skills that you need to prepare for.

  • One is what I'd call the Talent or the skillsthe people thatdoAI.

  • Who's going to develop the AI?

  • Those are the machine learning experts, the data scientists, the people with the STEM

  • skills and coding skills that are going to build the technology of the future.

  • And that is an important area that every organization needs to be preparing for in developing and

  • building those types of skills.

  • And that's one important thing.

  • The bigger set of skills that I think every organization needs to think about are the

  • people who use AI.

  • Not the ones who do and build it, but the people who use AI.

  • And that's going to be basically everybody in the workforce, or almost everybody in the

  • workforce, in your workforces or organization.

  • And I think that's an area where organizations haven't spent enough time.

  • Everybody knows they have to develop and hire the AI experts and the coding experts; I think

  • how the rest of your organization is going to adapt and use AI is the big question that

  • we're really trying to address in Human + Machine.

  • There's a few things that I'd say that are really important there.

  • One is you need to think about the learning platforms that you're developing for your

  • organization.

  • One thing that we found in the survey in the research work we did is two-thirds of organizations,

  • roughly, believe that their workforce isn't ready for AI, broadly for using AI – a big

  • number.

  • Only three percent of organizations plan to increase their training spending to account

  • for that, which isn't appropriate.

  • That means that generally, people think it's somebody else's problem to prepare the workforce.

  • And we believe that that's not the right answer.

  • At Accenture, we're investing about a billion dollars a year in training and retraining

  • our workforce, in developing talent platforms that continually retrain people.

  • And we think that that's the approach you need to take because we're in an age of

  • continuous innovation.

  • The roles of your workforce are going to continue to change, and you can't flush and replace

  • the workforce, and that's not the right way to view it.

  • How do you look at your employees as an investable resource, where you're investing in the

  • talent and developing the right learning platforms that they can learn how to use AI in the initial

  • applications you're rolling out now, and continue to learn so that their skills are

  • relevant and they're productive contributors to your organization as you continue to progress?

  • Another area that we really overlooked and where there's huge potential is using AI

  • itself to help prepare the workforce.

  • And I think there's huge opportunities for innovation here.

  • We're starting to see some real interesting possibilities coming.

  • One experiment we've done as an organization, and this is still in the research and development

  • stage, we've looked at all of our employees in our Accenture organization (and we have

  • over 430,000 people, so it's a large workforce).

  • We've developed a machine learning model using artificial intelligence that can take

  • the resumes and experience of any one of our employeesand this is something our employees

  • can use to understand how their job will be impacted by AI.

  • So it might say that as you feed in all of your information, it'll compare it to external

  • job postings and trends in the marketplace.

  • And it might sayWell, your skills are at risk in about one to three years.”

  • And it doesn't stop there, but it saysand based on what you know here's the adjacent

  • types of jobs that you should start looking to train yourself for.”

  • And again this is at the research and development stage, so I wouldn't say it's a product

  • out there yet but it shows the kind of innovation and creativity and way that we can use technology

  • itself to help prepare workforces for the changes that are coming down the road.

  • There's a lot of voices out there that are very well-regarded voicesElon Musk, the

  • late Stephen Hawking, who talked very eloquently about the perils and dangers that we face

  • with AI.

  • I do think we need to consider those and we need to think about the longer term implications

  • of AI, like we do of any technology.

  • Every technology that's ever existed from, the first stone wedge that the cavemen carved

  • or the first fire that was lit, was used for good, and it could be used for bad as well.

  • AI is no different, and the thing that I think concerns people sometimes is the pace of AI

  • and the ability of AI to make decisions that are not in the interest of us as human beings.

  • The reality is that the risk of that happening is far away.

  • We should be thinking about it.

  • There are organizations that are set up to think about those implications, and we support

  • and are involved in some of those organizations.

  • But that's for the distant future, and not something that we need to think about in our

  • generation right now in terms of real, serious consequences.

  • The opportunity for us now is to think about how do we apply this to live more effectively

  • on the planet, to better use our resources and to operate businesses and educational

  • institutions and our governments more effectively?

  • There's massive opportunity for this, so rather than be consumed and stuck by what

  • might happen with the technology in the future we need to think about that and prepare for

  • it, but let's apply the technology in a responsible way, which is what we talk about

  • in Human + Machine: to solve these problems today.

As you think about your talent and your workforce for the age of AI and where we're moving


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不想讓A.I.搶走你的工作?學會把它當做一種工具來使用。| 保羅-道格蒂 (Don't want A.I. to take your job? Learn to use it as a tool. | Paul Daugherty)

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    eddy 發佈於 2021 年 01 月 14 日