Marco Annunziata: Welcome to the age of the industrial internet

138,462 views ・ 2013-12-17

TED


Please double-click on the English subtitles below to play the video.

00:13
Einstein said that
0
13057
1440
00:14
"I never think about the future — it comes soon enough."
1
14497
3457
00:17
And he was right, of course.
2
17954
1701
00:19
So today, I'm here to ask you to think of
3
19655
2544
00:22
how the future is happening now.
4
22199
2860
00:25
Over the past 200 years, the world has experienced
5
25059
2763
00:27
two major waves of innovation.
6
27822
1930
00:29
First, the Industrial Revolution
7
29752
2229
00:31
brought us machines and factories, railways,
8
31981
2521
00:34
electricity, air travel,
9
34502
2330
00:36
and our lives have never been the same.
10
36832
2320
00:39
Then the Internet revolution
11
39152
2426
00:41
brought us computing power, data networks,
12
41578
3233
00:44
unprecedented access
13
44811
2335
00:47
to information and communication,
14
47146
2353
00:49
and our lives have never been the same.
15
49499
3275
00:52
Now we are experiencing
16
52774
1613
00:54
another metamorphic change:
17
54387
1764
00:56
the industrial Internet.
18
56151
2187
00:58
It brings together intelligent machines,
19
58338
2975
01:01
advanced analytics,
20
61313
1540
01:02
and the creativity of people at work.
21
62853
2366
01:05
It's the marriage of minds and machines.
22
65219
3200
01:08
And our lives will never be the same.
23
68419
2556
01:10
In my current role, I see up close
24
70975
2993
01:13
how technology is beginning to transform
25
73968
2833
01:16
industrial sectors that play a huge role
26
76801
2531
01:19
in our economy and in our lives:
27
79332
2393
01:21
energy, aviation, transportation, health care.
28
81725
4687
01:26
For an economist, this is highly unusual,
29
86412
2291
01:28
and it's extremely exciting,
30
88703
1539
01:30
because this is a transformation
31
90242
1889
01:32
as powerful as the Industrial Revolution and more,
32
92131
4022
01:36
and before the Industrial Revolution,
33
96153
1459
01:37
there was no economic growth to speak of.
34
97612
2950
01:40
So what is this industrial Internet?
35
100562
3355
01:43
Industrial machines are being equipped
36
103917
1863
01:45
with a growing number of electronic sensors
37
105780
2260
01:48
that allow them to see, hear, feel
38
108040
3449
01:51
a lot more than ever before,
39
111489
1706
01:53
generating prodigious amounts of data.
40
113195
3071
01:56
Increasingly sophisticated analytics
41
116266
1967
01:58
then sift through the data,
42
118233
1841
02:00
providing insights that allow us
43
120074
2756
02:02
to operate the machines in entirely new ways,
44
122830
3034
02:05
a lot more efficiently.
45
125864
1906
02:07
And not just individual machines,
46
127770
1989
02:09
but fleets of locomotives, airplanes,
47
129759
2785
02:12
entire systems like power grids, hospitals.
48
132544
3172
02:15
It is asset optimization and system optimization.
49
135716
4226
02:19
Of course, electronic sensors
50
139942
2010
02:21
have been around for some time,
51
141952
1705
02:23
but something has changed:
52
143657
1912
02:25
a sharp decline in the cost of sensors
53
145569
2851
02:28
and, thanks to advances in cloud computing,
54
148420
2477
02:30
a rapid decrease in the cost of storing
55
150897
3016
02:33
and processing data.
56
153913
2367
02:36
So we are moving to a world
57
156280
1710
02:37
where the machines we work with
58
157990
1793
02:39
are not just intelligent; they are brilliant.
59
159783
4241
02:44
They are self-aware, they are predictive,
60
164024
2758
02:46
reactive and social.
61
166782
3359
02:50
It's jet engines, locomotives, gas turbines,
62
170141
3958
02:54
medical devices, communicating seamlessly
63
174099
2781
02:56
with each other and with us.
64
176880
2325
02:59
It's a world where information itself
65
179205
2004
03:01
becomes intelligent and comes to us
66
181209
2187
03:03
automatically when we need it
67
183396
1929
03:05
without having to look for it.
68
185325
3198
03:08
We are beginning to deploy
69
188523
1527
03:10
throughout the industrial system
70
190050
2455
03:12
embedded virtualization,
71
192505
2045
03:14
multi-core processor technology,
72
194550
2202
03:16
advanced cloud-based communications,
73
196752
3440
03:20
a new software-defined machine infrastructure
74
200192
2742
03:22
which allows machine functionality
75
202934
2744
03:25
to become virtualized in software,
76
205678
2574
03:28
decoupling machine software from hardware,
77
208252
3162
03:31
and allowing us to remotely and automatically
78
211414
3607
03:35
monitor, manage and upgrade industrial assets.
79
215021
5324
03:40
Why does any of this matter at all?
80
220345
3134
03:43
Well first of all, it's already allowing us
81
223479
2471
03:45
to shift towards preventive,
82
225950
2201
03:48
condition-based maintenance,
83
228151
1878
03:50
which means fixing machines
84
230029
1962
03:51
just before they break,
85
231991
2288
03:54
without wasting time
86
234279
2016
03:56
servicing them on a fixed schedule.
87
236295
2328
03:58
And this, in turn, is pushing us towards
88
238623
3637
04:02
zero unplanned downtime,
89
242260
1855
04:04
which means there will be no more power outages,
90
244115
2865
04:06
no more flight delays.
91
246980
2040
04:09
So let me give you a few examples
92
249020
1644
04:10
of how these brilliant machines work,
93
250664
1879
04:12
and some of the examples may seem trivial,
94
252543
2298
04:14
some are clearly more profound,
95
254841
1996
04:16
but all of them are going to have a very powerful impact.
96
256837
4125
04:20
Let's start with aviation.
97
260962
1954
04:22
Today, 10 percent of all flights
98
262916
2268
04:25
cancellations and delays
99
265184
2118
04:27
are due to unscheduled maintenance events.
100
267302
2701
04:30
Something goes wrong unexpectedly.
101
270003
2032
04:32
This results in eight billion dollars in costs
102
272035
3196
04:35
for the airline industry globally every year,
103
275231
2412
04:37
not to mention the impact on all of us:
104
277643
2302
04:39
stress, inconvenience,
105
279945
2085
04:42
missed meetings as we sit helplessly
106
282030
2895
04:44
in an airport terminal.
107
284925
1909
04:46
So how can the industrial Internet help here?
108
286834
3418
04:50
We've developed a preventive maintenance system
109
290252
2635
04:52
which can be installed on any aircraft.
110
292887
1990
04:54
It's self-learning and able to predict issues
111
294877
3251
04:58
that a human operator would miss.
112
298128
2956
05:01
The aircraft, while in flight,
113
301084
2354
05:03
will communicate with technicians on the ground.
114
303438
2350
05:05
By the time it lands, they will already know
115
305788
1960
05:07
if anything needs to be serviced.
116
307748
2486
05:10
Just in the U.S., a system like this can prevent
117
310234
3616
05:13
over 60,000 delays and cancellations every year,
118
313850
3707
05:17
helping seven million passengers
119
317557
1962
05:19
get to their destinations on time.
120
319519
2536
05:22
Or take healthcare.
121
322055
1653
05:23
Today, nurses spend an average
122
323708
1731
05:25
of 21 minutes per shift
123
325439
2643
05:28
looking for medical equipment.
124
328082
1693
05:29
That seems trivial, but it's less time spent
125
329775
4383
05:34
caring for patients.
126
334158
2709
05:36
St. Luke's Medical Center in Houston, Texas,
127
336867
2874
05:39
which has deployed industrial Internet technology
128
339741
2927
05:42
to electronically monitor and connect
129
342668
2065
05:44
patients, staff and medical equipment,
130
344733
3199
05:47
has reduced bed turnaround times
131
347932
2310
05:50
by nearly one hour.
132
350242
1735
05:51
If you need surgery, one hour matters.
133
351977
2810
05:54
It means more patients can be treated,
134
354787
2327
05:57
more lives can be saved.
135
357114
1990
05:59
Another medical center, in Washington state,
136
359104
2964
06:02
is piloting an application that allows
137
362068
1888
06:03
medical images from city scanners and MRIs
138
363956
3093
06:07
to be analyzed in the cloud,
139
367049
2115
06:09
developing better analytics
140
369164
2637
06:11
at a lower cost.
141
371801
2561
06:14
Imagine a patient
142
374362
1624
06:15
who has suffered a severe trauma,
143
375986
1434
06:17
and needs the attention of several specialists:
144
377420
2755
06:20
a neurologist, a cardiologist,
145
380175
1809
06:21
an orthopedic surgeon.
146
381984
1611
06:23
If all of them can have instantaneous and simultaneous access
147
383595
3326
06:26
to scans and images as they are taken,
148
386921
2786
06:29
they will be able to deliver better healthcare faster.
149
389707
4697
06:34
So all of this translates into better health outcomes,
150
394405
3078
06:37
but it can also deliver substantial economic benefits.
151
397483
3440
06:40
Just a one-percent reduction in existing inefficiencies
152
400923
3486
06:44
could yield savings of over 60 billion dollars
153
404409
3506
06:47
to the healthcare industry worldwide,
154
407915
2797
06:50
and that is just a drop in the sea
155
410712
2359
06:53
compared to what we need to do to make healthcare
156
413071
2736
06:55
affordable on a sustainable basis.
157
415807
2421
06:58
Similar advances are happening in energy,
158
418228
2258
07:00
including renewable energy.
159
420486
2470
07:02
Wind farms equipped with new remote monitorings and diagnostics
160
422966
4693
07:07
that allow wind turbines to talk to each other
161
427659
2595
07:10
and adjust the pitch of their blades in a coordinated way,
162
430254
3849
07:14
depending on how the wind is blowing,
163
434103
2119
07:16
can now produce electricity at a cost
164
436222
1976
07:18
of less than five cents per kilowatt/hour.
165
438198
3178
07:21
Ten years ago, that cost was 30 cents,
166
441376
2017
07:23
six times as much.
167
443393
1952
07:25
The list goes on, and it will grow fast,
168
445345
2904
07:28
because industrial data are now growing exponentially.
169
448249
2701
07:30
By 2020, they will account for over 50 percent
170
450950
2852
07:33
of all digital information.
171
453802
2228
07:36
But this is not just about data, so let me switch gears
172
456030
3179
07:39
and tell you how this is impacting already
173
459209
2841
07:42
the jobs we do every day,
174
462050
1443
07:43
because this new wave of innovation
175
463493
1721
07:45
is bringing about new tools and applications
176
465214
3116
07:48
that will allow us to collaborate
177
468330
2516
07:50
in a smarter and faster way,
178
470846
1570
07:52
making our jobs not just more efficient
179
472416
3133
07:55
but more rewarding.
180
475549
1789
07:57
Imagine a field engineer arriving at the wind farm
181
477338
2904
08:00
with a handheld device telling her
182
480242
1686
08:01
which turbines need servicing.
183
481928
2298
08:04
She already has all the spare parts,
184
484226
1478
08:05
because the problems were diagnosed in advanced.
185
485704
2542
08:08
And if she faces an unexpected issue,
186
488246
2474
08:10
the same handheld device will allow her to
187
490720
2603
08:13
communicate with colleagues at the service center,
188
493323
2508
08:15
let them see what she sees,
189
495831
2100
08:17
transmit data that they can run through diagnostics,
190
497931
2755
08:20
and they can stream videos that will guide her,
191
500686
2297
08:22
step by step, through whatever complex procedure
192
502983
2368
08:25
is needed to get the machines back up and running.
193
505351
2462
08:27
And their interaction gets documented
194
507813
2016
08:29
and stored in a searchable database.
195
509829
4402
08:34
Let's stop and think about this for a minute,
196
514246
1755
08:36
because this is a very important point.
197
516001
1721
08:37
This new wave of innovation is fundamentally
198
517722
2226
08:39
changing the way we work.
199
519948
2470
08:42
And I know that many of you will be concerned about the impact that innovation might have on jobs.
200
522427
5200
08:47
Unemployment is already high,
201
527627
1497
08:49
and there is always a fear that innovation will destroy jobs.
202
529124
3236
08:52
And innovation is disruptive.
203
532360
2131
08:54
But let me stress two things here.
204
534491
2453
08:56
First, we've already lived through
205
536944
1931
08:58
mechanization of agriculture, automation of industry,
206
538875
2763
09:01
and employment has gone up,
207
541638
2025
09:03
because innovation is fundamentally about growth.
208
543663
2293
09:05
It makes products more affordable.
209
545956
1893
09:07
It creates new demand, new jobs.
210
547849
2660
09:10
Second, there is a concern that in the future,
211
550509
2582
09:13
there will only be room for engineers,
212
553091
2156
09:15
data scientists, and other highly-specialized workers.
213
555247
3020
09:18
And believe me, as an economist, I am also scared.
214
558267
3569
09:21
But think about it:
215
561836
1719
09:23
Just as a child can easily figure out
216
563555
2619
09:26
how to operate an iPad,
217
566174
1756
09:27
so a new generation of mobile and intuitive
218
567930
2125
09:30
industrial applications will make life easier
219
570055
2724
09:32
for workers of all skill levels.
220
572779
2419
09:35
The worker of the future will be more like Iron Man
221
575198
3202
09:38
than the Charlie Chaplin of "Modern Times."
222
578400
3126
09:41
And to be sure, new high-skilled jobs will be created:
223
581526
3044
09:44
mechanical digital engineers who understand
224
584570
1876
09:46
both the machines and the data;
225
586446
2132
09:48
managers who understand their industry
226
588578
2283
09:50
and the analytics and can reorganize the business
227
590861
2861
09:53
to take full advantage of the technology.
228
593722
3122
09:56
But now let's take a step back.
229
596844
2316
09:59
Let's look at the big picture.
230
599160
2044
10:01
There are people who argue that today's innovation
231
601204
2423
10:03
is all about social media and silly games,
232
603627
2349
10:05
with nowhere near the transformational power
233
605976
1890
10:07
of the Industrial Revolution.
234
607866
2079
10:09
They say that all the growth-enhancing innovations
235
609945
2755
10:12
are behind us.
236
612700
1426
10:14
And every time I hear this, I can't help thinking that
237
614126
3314
10:17
even back in the Stone Age,
238
617440
1968
10:19
there must have been a group of cavemen
239
619408
2289
10:21
sitting around a fire one day
240
621697
1879
10:23
looking very grumpy,
241
623576
1526
10:25
and looking disapprovingly at another group of cavemen
242
625102
2726
10:27
rolling a stone wheel up and down a hill,
243
627828
2169
10:29
and saying to each other,
244
629997
1809
10:31
"Yeah, this wheel thing,
245
631806
2281
10:34
cool toy, sure, but compared to fire,
246
634087
2791
10:36
it will have no impact.
247
636878
2116
10:38
The big discoveries are all behind us."
248
638994
2324
10:41
(Laughter)
249
641318
1887
10:43
This technological revolution
250
643205
1548
10:44
is as inspiring and transformational
251
644753
2528
10:47
as anything we have ever seen.
252
647281
2013
10:49
Human creativity and innovation have always propelled us forward.
253
649294
3390
10:52
They've created jobs.
254
652684
1447
10:54
They've raised living standards.
255
654131
1389
10:55
They've made our lives
256
655520
1803
10:57
healthier and more rewarding.
257
657323
2060
10:59
And the new wave of innovation
258
659383
1243
11:00
which is beginning to sweep through industry
259
660626
2350
11:02
is no different.
260
662976
1622
11:04
In the U.S. alone, the industrial Internet
261
664598
2016
11:06
could raise average income by 25 to 40 percent
262
666614
3940
11:10
over the next 15 years,
263
670554
1692
11:12
boosting growth to rates we haven't seen in a long time,
264
672246
2669
11:14
and adding between 10 and 15 trillion dollars to global GDP.
265
674915
3944
11:18
That is the size of the entire U.S. economy today.
266
678859
4253
11:23
But this is not a foregone conclusion.
267
683112
2511
11:25
We are just at the beginning of this transformation,
268
685623
1995
11:27
and there will be barriers to break,
269
687618
1856
11:29
obstacles to overcome.
270
689474
1686
11:31
We will need to invest in the new technologies.
271
691160
2541
11:33
We will need to adapt organizations and managerial practices.
272
693701
3709
11:37
We will need a robust cybersecurity approach
273
697410
2894
11:40
that protects sensitive information and intellectual property
274
700304
3743
11:44
and safeguards critical infrastructure from cyberattacks.
275
704047
3240
11:47
And the education system will need to evolve
276
707287
2237
11:49
to ensure students are equipped with the right skills.
277
709524
3208
11:52
It's not going to be easy,
278
712732
1735
11:54
but it is going to be worth it.
279
714467
2647
11:57
The economic challenges facing us are hard,
280
717114
3548
12:00
but when I walk the factory floor,
281
720662
2096
12:02
and I see how humans and brilliant machines
282
722758
2588
12:05
are becoming interconnected,
283
725346
1718
12:07
and I see the difference this makes
284
727064
2074
12:09
in a hospital, in an airport,
285
729138
2566
12:11
in a power generation plant, I'm not just optimistic,
286
731704
2681
12:14
I'm enthusiastic.
287
734385
1608
12:15
This new technological revolution is upon us.
288
735993
3454
12:19
So think about the future — it will be here soon enough.
289
739447
3194
12:22
Thank you.
290
742641
2685
12:25
(Applause)
291
745326
4093
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7