ABOUT THE SPEAKER
David Lee - Innovation leader
UPS’s David Lee works to create platforms that make it easier for people to turn fuzzy ideas into concrete solutions.

Why you should listen

David Lee is the Vice President of Innovation and the Strategic Enterprise Fund for UPS. In that role, he develops programs that make it easier for smart, creative people to get together and explore ideas.  It's clear that great ideas can come from anywhere. His responsibility to help people turn their ideas into tangible, pragmatic solutions.  His team coordinates communities, programs, and contests that give people permission to chase down problems that they are personally inspired to address.  He is constantly amazed at what happens when thoughtful, passionate people are given room to run.

Lee's career has been filled with interesting opportunities to break down new barriers for large corporations.  He has been involved in the launch of dozens of new products, services and businesses within the framework of corporate processes and expectations. Some of those efforts flourished while others failed. Because of those lessons, he looks to create pathways which result in rapid impact and "good failures" whenever possible.

Prior to joining UPS, he led innovation at SunTrust Bank. Lee started his career at Bank of America, where he worked in advanced technology and asset management. There he helped to launch retirement services and a strategic venture capital group. He studied economics at the University of Virginia and went to business school at the University of Chicago.

More profile about the speaker
David Lee | Speaker | TED.com
TED@UPS

David Lee: Why jobs of the future won't feel like work

大卫·李: 为什么未来的工作不会让人觉得是在工作

Filmed:
1,916,479 views

我们都听说过机器人会取代我们的工作——但我们究竟要如何应对呢?革新专家大卫·李说,我们应该开始设计和挖掘隐藏了我们天赋和热情的工作——那些我们会用周末来做的事,从而让我们在机器人时代仍具有价值。“开始询问他们想解决什么样的问题,以及他们想把什么天赋带到工作中,”李说,“当你邀请人们施展才华时,他们展现的潜能会让我们感到惊讶。”
- Innovation leader
UPS’s David Lee works to create platforms that make it easier for people to turn fuzzy ideas into concrete solutions. Full bio

Double-click the English transcript below to play the video.

00:12
So there's a lot of valid有效
concern关心 these days
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当今有许多实实在在的担心
00:15
that our technology技术 is getting得到 so smart聪明
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技术正在变得如此智能
00:17
that we've我们已经 put ourselves我们自己
on the path路径 to a jobless失业 future未来.
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我们几乎是在把自己引向失业
00:21
And I think the example
of a self-driving自驾车 car汽车
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自动驾驶汽车
是其中最浅显的一个例子
00:23
is actually其实 the easiest最简单的 one to see.
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不管怎样 自动驾驶都是非常棒的事情
00:25
So these are going to be fantastic奇妙
for all kinds of different不同 reasons原因.
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00:28
But did you know that "driver司机"
is actually其实 the most common共同 job工作
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但你是否知道
在美国50个州其中的29个
司机都是最普遍的职业
00:32
in 29 of the 50 US states状态?
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00:35
What's going to happen发生 to these jobs工作
when we're no longer driving主动 our cars汽车
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当我们不再需要司机驾驶汽车
也不需要人来烹饪食物
甚至不需要医生来诊断疾病
00:38
or cooking烹饪 our food餐饮
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这些工作岗位将何去何从呢
00:39
or even diagnosing诊断 our own拥有 diseases疾病?
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00:42
Well, a recent最近 study研究
from ForresterForrester公司 Research研究
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一个来自弗雷斯特研究的最新研究
00:45
goes so far to predict预测
that 25 million百万 jobs工作
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甚至预计有两千五百万个工作
00:48
might威力 disappear消失 over the next下一个 10 years年份.
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可能会在接下来的十年内消失
00:51
To put that in perspective透视,
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换个方式说
00:52
that's three times as many许多 jobs工作 lost丢失
in the aftermath后果 of the financial金融 crisis危机.
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这相当于金融危机之后
消失的职业数量的三倍
00:58
And it's not just blue-collar蓝领 jobs工作
that are at risk风险.
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而且不只是蓝领职业有消失的危险
01:01
On Wall Street and across横过 Silicon Valley,
we are seeing眼看 tremendous巨大 gains收益
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放眼整个华尔街和硅谷
机器学习在
分析和决策中的应用
01:05
in the quality质量 of analysis分析
and decision-making做决定
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01:07
because of machine learning学习.
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均取得了巨大的成就
01:09
So even the smartest最聪明的, highest-paid薪酬最高 people
will be affected受影响 by this change更改.
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即便是最聪明 最高薪的人
也会被这个改变所影响
01:13
What's clear明确 is that no matter
what your job工作 is,
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很明显的是无论你的职业是什么
01:16
at least最小 some, if not all of your work,
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即便不是全部 也会有一部分
01:18
is going to be doneDONE by a robot机器人
or software软件 in the next下一个 few少数 years年份.
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会在接下来的几年里
被机器人或软件所取代
01:22
And that's exactly究竟 why people
like Mark标记 Zuckerberg扎克伯格 and Bill法案 Gates盖茨
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而这恰恰是像马克·扎克伯格
和比尔·盖茨这样的人
在讨论政府需要保障人们
最低收入水平的原因
01:26
are talking about the need for
government-funded政府资助 minimum最低限度 income收入 levels水平.
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01:29
But if our politicians政治家 can't agree同意
on things like health健康 care关心
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但如果政客们连医保
学校午餐之类的事情
01:32
or even school学校 lunches午餐,
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都无法达成一致
01:34
I just don't see a path路径
where they'll他们会 find consensus共识
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我不觉得他们能在这样
巨大且昂贵的全民基本
生活保障的事情上达成一致
01:36
on something as big and as expensive昂贵
as universal普遍 basic基本 life income收入.
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01:40
Instead代替, I think the response响应
needs需求 to be led by us in industry行业.
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反而我认为应该由
我们行业自身的人去引导
01:44
We have to recognize认识
the change更改 that's ahead of us
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我们要意识到前方的变化
01:46
and start开始 to design设计 the new kinds of jobs工作
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并着手设计新的工作形式
01:48
that will still be relevant相应
in the age年龄 of robotics机器人.
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使其在机器时代仍具有意义
01:52
The good news新闻 is that we have
faced面对 down and recovered恢复
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好消息是我们之前经历过
01:55
two mass extinctions灭绝 of jobs工作 before.
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两次大的失业潮和经济复苏
01:58
From 1870 to 1970,
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1870年到1970年间
02:00
the percent百分 of American美国 workers工人
based基于 on farms农场 fell下跌 by 90 percent百分,
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在农场工作的美国工人
数量下降了90%
02:05
and then again from 1950 to 2010,
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而从1950年到2010年
02:07
the percent百分 of Americans美国人
working加工 in factories工厂
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在工厂里的美国工人数量
02:09
fell下跌 by 75 percent百分.
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下降了75%
02:12
The challenge挑战 we face面对 this time,
however然而, is one of time.
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而我们这次面临的挑战是“时间”
02:15
We had a hundred years年份
to move移动 from farms农场 to factories工厂,
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我们有100年的时间从农场转向工厂
02:18
and then 60 years年份 to fully充分 build建立 out
a service服务 economy经济.
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又花了60年去建设服务业经济
02:21
The rate of change更改 today今天
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如今的变化速度
意味着我们只有10到15年来调整
02:23
suggests提示 that we may可能 only have
10 or 15 years年份 to adjust调整,
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02:26
and if we don't react应对 fast快速 enough足够,
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如果我们不尽快作出反应
02:27
that means手段 by the time
today's今天的 elementary-school小学学校 students学生们
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那就意味着当今天的小学生
02:30
are college-aged大学生年龄,
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上大学的时候
02:32
we could be living活的
in a world世界 that's robotic机器人,
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我们就会生活在一个充斥着机器人
02:34
largely大部分 unemployed失业的 and stuck卡住
in kind of un-great联合国大 depression萧条.
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并伴随大量失业人群的萧条世界里了
02:39
But I don't think it has to be this way.
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但我不认为这样的结果是注定的
我的工作是革新
02:41
You see, I work in innovation革新,
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02:43
and part部分 of my job工作 is to shape形状 how
large companies公司 apply应用 new technologies技术.
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我的部分工作是帮助
大公司应用新的技术
02:48
Certainly当然 some of these technologies技术
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而其中有些技术
就是专门设计来取代人类工作者
02:50
are even specifically特别 designed设计
to replace更换 human人的 workers工人.
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02:53
But I believe that if we start开始
taking服用 steps脚步 right now
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但是我相信如果我们现在开始着手
02:56
to change更改 the nature性质 of work,
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去改变工作的本质
02:58
we can not only create创建 environments环境
where people love coming未来 to work
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我们不仅可以创造
人们所热爱的工作环境
03:02
but also generate生成
the innovation革新 that we need
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而且还可以产生我们所需要的创新
来代替终将流失于技术的数百万职业
03:04
to replace更换 the millions百万 of jobs工作
that will be lost丢失 to technology技术.
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03:08
I believe that the key
to preventing防止 our jobless失业 future未来
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我认为预防我们未来失业的关键在于
重新发现人类自身
03:12
is to rediscover重新发现 what makes品牌 us human人的,
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03:14
and to create创建 a new generation
of human-centered以人为本 jobs工作
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并创造新一代的以人为本的职业
03:17
that allow允许 us to unlock开锁
the hidden talents人才 and passions激情
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来释放人类身上
03:20
that we carry携带 with us every一切 day.
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隐藏的天赋和激情
03:24
But first, I think
it's important重要 to recognize认识
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但首先我认为很重要的
是需要认识到
问题是我们自己造成的
03:26
that we brought this problem问题 on ourselves我们自己.
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03:28
And it's not just because, you know,
we are the one building建造 the robots机器人.
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不仅仅是因为我们创造了机器人
03:32
But even though虽然 most jobs工作
left the factory decades几十年 ago,
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尽管几十年间很多工作
就已经与工厂无关
03:35
we still hold保持 on to this factory mindset心态
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我们却仍然固守着工厂
03:37
of standardization标准化 and de-skilling非技术.
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那种去技能化的标准化思维
03:40
We still define确定 jobs工作
around procedural程序 tasks任务
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我们仍围绕程序化的任务来定义工作
03:42
and then pay工资 people for the number
of hours小时 that they perform演出 these tasks任务.
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然后按照人们执行任务的
小时数付他们薪水
我们创造了狭隘的工作定义
03:46
We've我们已经 created创建 narrow狭窄 job工作 definitions定义
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03:48
like cashier出纳员, loan贷款 processor处理器
or taxi出租车 driver司机
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比如收银员 贷款业务员 出租车司机
03:51
and then asked people
to form形成 entire整个 careers职业生涯
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然后让人们围着这些单调的任务
03:53
around these singular单数 tasks任务.
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去打造整个职业生涯
03:56
These choices选择 have left us with
actually其实 two dangerous危险 side effects效果.
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这些选择事实上带给
我们两个危险的副作用
03:59
The first is that these
narrowly险些 defined定义 jobs工作
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首先 这些被狭隘定义的工作
04:02
will be the first
to be displaced流离失所 by robots机器人,
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会最先被机器人替代
04:05
because single-task单任务 robots机器人
are just the easiest最简单的 kinds to build建立.
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因为单任务的机器人是最容易制造的
04:08
But second第二, we have accidentally偶然 made制作 it
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其次 这种不经意间的选择
04:11
so that millions百万 of workers工人
around the world世界
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让全世界成千上万的人
04:13
have unbelievably令人难以置信 boring无聊 working加工 lives生活.
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从事着难以置信的无聊工作
04:16
(Laughter笑声)
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(笑声)
04:18
Let's take the example
of a call center中央 agent代理人.
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我们来看个呼叫中心客服的例子
过去的几十年间
我们夸耀着更低的运行费用
04:20
Over the last few少数 decades几十年,
we brag吹牛 about lower降低 operating操作 costs成本
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因为我们把对脑力的大部分要求
04:23
because we've我们已经 taken采取 most
of the need for brainpower脑力
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从人身上拿出来放进了应答系统中
04:26
out of the person
and put it into the system系统.
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所以在一天的大多数时间里
他们只是在点击着屏幕
04:28
For most of their day,
they click点击 on screens屏幕,
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04:31
they read scripts脚本.
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念念稿子
04:33
They act法案 more like machines than humans人类.
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行为模式更像机器而不是人类
04:37
And unfortunately不幸,
over the next下一个 few少数 years年份,
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而且不幸的是 在接下来的几年里
随着我们的技术变得更加先进
04:39
as our technology技术 gets得到 more advanced高级,
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04:41
they, along沿 with people
like clerks文员 and bookkeepers簿记,
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他们以及诸如书记员和
簿记员那样的人
04:43
will see the vast广大 majority多数
of their work disappear消失.
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将会面临大量工作机会的丧失
04:47
To counteract抵消 this,
we have to start开始 creating创建 new jobs工作
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要应对这点 我们必须开始创造新的职业
04:50
that are less centered中心
on the tasks任务 that a person does
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那种不那么以人的任务为中心
04:52
and more focused重点 on the skills技能
that a person brings带来 to work.
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而是更集中在人的
工作技巧层面的职业
04:56
For example, robots机器人 are great
at repetitive重复 and constrained受限 work,
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比如机器更适合重复性和受限的工作
04:59
but human人的 beings众生 have an amazing惊人 ability能力
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但是人类具有不可思议的
富有创造力的能力
05:01
to bring带来 together一起
capability能力 with creativity创造力
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05:04
when faced面对 with problems问题
that we've我们已经 never seen看到 before.
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去应对那些从未遇到的新问题
05:07
It's when every一切 day
brings带来 a little bit of a surprise
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当我们给人类而非机器人
05:10
that we have designed设计 work for humans人类
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设计工作时 每天都可以
05:12
and not for robots机器人.
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带来一点惊喜
05:14
Our entrepreneurs企业家 and engineers工程师
already已经 live生活 in this world世界,
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我们的企业家和工程师
早已经出现在这个世上
05:17
but so do our nurses护士 and our plumbers管道工
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我们的护士和水管工
05:19
and our therapists治疗师.
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心理咨询师也同样如此
05:21
You know, it's the nature性质
of too many许多 companies公司 and organizations组织
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如今太多的公司和组织
05:24
to just ask people to come to work
and do your job工作.
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只是让人们来上个班做个工作
05:28
But if you work is better doneDONE by a robot机器人,
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但如果你的工作
机器人可以完成得更好
05:30
or your decisions决定 better made制作 by an AIAI,
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或者机器人做决定都比你强
05:33
what are you supposed应该 to be doing?
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你还能做什么呢
05:36
Well, I think for the manager经理,
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我认为对于管理者而言
05:38
we need to realistically现实 think about
the tasks任务 that will be disappearing消失
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我们需要现实地思考一下
在接下来几年里
会消失的任务
05:41
over the next下一个 few少数 years年份
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并且开始计划用更有意义
更有价值的工作去替代它们
05:43
and start开始 planning规划 for more meaningful富有意义的,
more valuable有价值 work that should replace更换 it.
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05:47
We need to create创建 environments环境
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我们需要创造环境
人类和机器人都可以共同成长的环境
05:48
where both human人的 beings众生 and robots机器人 thrive兴旺.
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05:50
I say, let's give more work to the robots机器人,
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让我们给机器人更多的工作
05:53
and let's start开始 with the work
that we absolutely绝对 hate讨厌 doing.
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就从最讨厌做的工作开始
05:57
Here, robot机器人,
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嘿 机器人
处理掉这个愚蠢的报道
05:58
process处理 this painfully痛苦 idiotic report报告.
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06:00
(Laughter笑声)
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(笑声)
再搬走这个盒子 谢谢
06:01
And move移动 this box. Thank you.
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06:03
(Laughter笑声)
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(笑声)
06:05
And for the human人的 beings众生,
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对于人类自身
06:06
we should follow跟随 the advice忠告 from Harry掠夺
Davis戴维斯 at the University大学 of Chicago芝加哥.
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我们应该遵从芝加哥大学
哈利·戴维斯的建议
他说我们需要做到让人们不把自己
06:10
He says we have to make it so that people
don't leave离开 too much of themselves他们自己
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放在他们的后备箱中
06:13
in the trunk树干 of their car汽车.
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我的意思是
人们在周末会变得非常厉害
06:15
I mean, human人的 beings众生
are amazing惊人 on weekends周末.
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想一想你认识的人
以及他们在周六做的事
06:18
Think about the people that you know
and what they do on Saturdays星期六.
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他们是艺术家 木匠 厨师 运动员
06:21
They're artists艺术家, carpenters木匠,
chefs厨师 and athletes运动员.
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06:25
But on Monday星期一, they're back
to being存在 Junior初级 HRHR Specialist专家
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但是在周一 他们又变成了HR菜鸟
或3号系统分析员
06:29
and Systems系统 Analyst分析师 3.
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06:31
(Laughter笑声)
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(笑声)
06:34
You know, these narrow狭窄 job工作 titles标题
not only sound声音 boring无聊,
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这些狭隘的职业名称不仅听上去很无趣
它们其实还潜移默化鼓动人们
06:38
but they're actually其实
a subtle微妙 encouragement鼓励
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去为狭隘和无聊的职业奉献
06:40
for people to make narrow狭窄
and boring无聊 job工作 contributions捐款.
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06:43
But I've seen看到 firsthand第一手
that when you invite邀请 people to be more,
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我已经见识过了
当你邀请人们做得更多时
他们却能让我们刮目相看
06:46
they can amaze惊奇 us
with how much more they can be.
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06:50
A few少数 years年份 ago,
I was working加工 at a large bank银行
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几年前 我在一个大银行工作
并试着把更多的创新
带进它的公司文化中
06:52
that was trying to bring带来 more innovation革新
into its company公司 culture文化.
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我和我的团队设计了一个模型比赛
06:55
So my team球队 and I designed设计
a prototyping原型 contest比赛
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邀请每一个人来建造
任何他们想建造的东西
06:58
that invited邀请 anyone任何人 to build建立
anything that they wanted.
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07:01
We were actually其实 trying to figure数字 out
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我们其实在试着找出
限制创新的主要原因究竟是
07:03
whether是否 or not
the primary limiter限制器 to innovation革新
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缺少想法还是缺少天赋
07:05
was a lack缺乏 of ideas思路 or a lack缺乏 of talent天赋,
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结果两者都不是
07:08
and it turns out it was neither也不 one.
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这是一个关于授权的问题
07:10
It was an empowerment权力 problem问题.
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07:12
And the results结果
of the program程序 were amazing惊人.
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这个项目的结果非常惊人
07:16
We started开始 by inviting诱人的
people to reenvisionreenvision
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我们起初邀请人们来重新构想
07:18
what it is they could bring带来 to a team球队.
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他们能给团队带来的东西
07:20
This contest比赛 was not only a chance机会
to build建立 anything that you wanted
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这个比赛不仅是一个
天马行空去创造的事情
07:24
but also be anything that you wanted.
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也是一个做你自己的机会
当人们不再被他们
每天的工作头衔所限制时
07:27
And when people were no longer
limited有限 by their day-to-day日复一日 job工作 titles标题,
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他们会尽情的把
各种不同的技能和天赋
07:30
they felt free自由 to bring带来 all kinds
of different不同 skills技能 and talents人才
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应用到尝试要解决的问题中去
07:33
to the problems问题
that they were trying to solve解决.
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我们看见技术人员成为设计师
营销人员变成建筑师
07:36
We saw technology技术 people being存在 designers设计师,
marketing营销 people being存在 architects建筑师,
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07:39
and even finance金融 people showing展示 off
their ability能力 to write jokes笑话.
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金融人员化身为段子手
07:43
(Laughter笑声)
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(笑声)
07:44
We ran this program程序 twice两次,
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我们运作了这个项目两次
而每一次都有400多人为工作
带来了他们意想不到的天赋
07:46
and each time more than 400 people
brought their unexpected意外 talents人才 to work
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07:50
and solved解决了 problems问题 that they had been
wanting希望 to solve解决 for years年份.
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并且解决了他们很多年前
就想解决的问题
07:53
Collectively, they created创建
millions百万 of dollars美元 of value,
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他们共同创造了数百万美元的价值
07:56
building建造 things like a better
touch-tone按键音 system系统 for call centers中心,
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创建了更好的呼叫中心按键系统
更易于使用的桌面工具
08:01
easier更轻松 desktop桌面 tools工具 for branches分支机构
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08:02
and even a thank you card system系统
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甚至还有一个感谢信系统
这些都成为员工工作体验的基石
08:04
that has become成为 a cornerstone基石
of the employee雇员 working加工 experience经验.
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08:07
Over the course课程 of the eight weeks,
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在八周的时间里
08:09
people flexed弯曲 muscles肌肉 that they never
dreamed梦见 of using运用 at work.
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人们在工作中展现了
他们从未想象过的神通
08:14
People learned学到了 new skills技能,
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人们学会了新的技巧
08:15
they met会见 new people,
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他们结交了新的朋友
08:18
and at the end结束, somebody
pulled me aside在旁边 and said,
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最后有个人把我拉到一边说
08:21
"I have to tell you,
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我得告诉你
08:22
the last few少数 weeks has been
one of the most intense激烈,
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这几个礼拜是我这辈子
08:25
hardest最难 working加工 experiences经验
of my entire整个 life,
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最紧张 最辛苦的工作经历
08:28
but not one second第二 of it felt like work."
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但我没有一刻感觉是在工作
08:32
And that's the key.
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那就是关键
08:33
For those few少数 weeks, people
got to be creators创作者 and innovators创新.
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在那几周里 人们需要
成为创造者和革新者
08:38
They had been dreaming做梦 of solutions解决方案
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他们一直梦想着解决
08:40
to problems问题 that had been
bugging窃听 them for years年份,
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那些烦扰了他们好多年的问题
08:43
and this was a chance机会 to turn
those dreams into a reality现实.
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而这是一个把这些
梦想变为现实的机会
08:46
And that dreaming做梦 is an important重要 part部分
of what separates中隔离 us from machines.
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而梦想是我们区别于机器的重要部分
08:51
For now, our machines
do not get frustrated受挫,
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目前我们的机器不会有挫败感
它们不会被惹怒
08:54
they do not get annoyed懊恼,
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08:55
and they certainly当然 don't imagine想像.
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它们当然也不具有想象力
08:57
But we, as human人的 beings众生 --
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但是我们 作为人类
我们会感到痛苦
08:59
we feel pain疼痛,
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我们会觉得沮丧
09:00
we get frustrated受挫.
191
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1400
而我们最为烦恼和最为好奇之时
09:02
And it's when we're most annoyed懊恼
and most curious好奇
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09:05
that we're motivated动机 to dig
into a problem问题 and create创建 change更改.
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就是我们产生动力去
深究问题并作出改变之时
09:09
Our imaginations想象 are the birthplace出生地
of new products制品, new services服务,
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我们的想象力是新产品 新服务
甚至新工业的诞生地
09:13
and even new industries行业.
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09:15
I believe that the jobs工作 of the future未来
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我相信未来的职业
09:17
will come from the minds头脑 of people
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源于人们的头脑
09:19
who today今天 we call
analysts分析师 and specialists专家,
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他们在今天被称作分析员和专家
09:21
but only if we give them the freedom自由
and protection保护 that they need to grow增长
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但这只会在我们为他们
成为发现者和发明家
提供足够的自由和保护的情况下发生
09:25
into becoming变得 explorers探险 and inventors发明家.
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09:28
If we really want to robot-proof机器人防 our jobs工作,
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如果我们确实想让
工作不被机器人取代
09:30
we, as leaders领导者, need
to get out of the mindset心态
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我们 作为领导者 需要抛弃
指使人们做事的模式
09:33
of telling告诉 people what to do
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09:34
and instead代替 start开始 asking them
what problems问题 they're inspired启发 to solve解决
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反而应该询问他们想解决什么问题
09:38
and what talents人才
they want to bring带来 to work.
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以及他们想把什么天赋带到工作中
09:41
Because when you can bring带来
your Saturday星期六 self to work on Wednesdays星期三,
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因为当你可以把周六的自己
带到周三的工作中时
09:45
you'll你会 look forward前锋 to Mondays星期一 more,
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你会更期待周一
09:47
and those feelings情怀
that we have about Mondays星期一
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而那些对周一的感觉
09:49
are part部分 of what makes品牌 us human人的.
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是我们人类的一部分
09:52
And as we redesign重新设计 work
for an era时代 of intelligent智能 machines,
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在为人工智能时代
重新设计工作的过程中
09:55
I invite邀请 you all to work alongside并肩 me
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我邀请你们所有人和我一起努力
09:57
to bring带来 more humanity人性
to our working加工 lives生活.
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把更多的人性带入
我们的工作生活中
谢谢
10:00
Thank you.
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(掌声)
10:01
(Applause掌声)
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Translated by edukm ps

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ABOUT THE SPEAKER
David Lee - Innovation leader
UPS’s David Lee works to create platforms that make it easier for people to turn fuzzy ideas into concrete solutions.

Why you should listen

David Lee is the Vice President of Innovation and the Strategic Enterprise Fund for UPS. In that role, he develops programs that make it easier for smart, creative people to get together and explore ideas.  It's clear that great ideas can come from anywhere. His responsibility to help people turn their ideas into tangible, pragmatic solutions.  His team coordinates communities, programs, and contests that give people permission to chase down problems that they are personally inspired to address.  He is constantly amazed at what happens when thoughtful, passionate people are given room to run.

Lee's career has been filled with interesting opportunities to break down new barriers for large corporations.  He has been involved in the launch of dozens of new products, services and businesses within the framework of corporate processes and expectations. Some of those efforts flourished while others failed. Because of those lessons, he looks to create pathways which result in rapid impact and "good failures" whenever possible.

Prior to joining UPS, he led innovation at SunTrust Bank. Lee started his career at Bank of America, where he worked in advanced technology and asset management. There he helped to launch retirement services and a strategic venture capital group. He studied economics at the University of Virginia and went to business school at the University of Chicago.

More profile about the speaker
David Lee | Speaker | TED.com