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CLEVER Strategy for
the 4th Industrial Revolution
A l e s s a n d r o L a n t e r i
1
Alessandro
Lanteri
speaker
Professor of Entrepreneurship
Regular Contributor to HBR
Advisor, Trainer to Multinationals,
International Organizations,
Governments, Startups
Keynote & TEDx Speaker https://goo.gl/fAeTck
Author of CLEVER http://bit.ly/CLEVER_book
Professor of
Entrepreneurship
@ A L E S S A N D R O L A N T E R I
https://goo.gl/LDTv9L
2
$1million in your
pocket
- exponential technologies
- 4th Industrial Revolution
PART1
3
fuel efficiency
+ 45%
storage capacity
x 1.5 million
1980 2019
4
“The Law of Accelerating
Returns: Price,
performance, and capacity
of information technology
progress at a predictable,
exponential rate.”
Ray Kurzweil
Director of Engineering @ Google
5
Exponential Techs
Progress
Time
linear
exponential
source: Kurzweil (2001), Singularity University (2017)
1 bn
30
😮
😍
😕
📱
DISRUPTIVE
GROWTH
DECEPTIVE
GROWTH
linear: 1, 2, 3, 4… 30
exponential: 1, 2, 4, 8… 109
which is geometric, really, but
don’t tell Ray!
6
Just how bad is this
digital camera?
7
3EFFECTS
3 PHASES
source: Diamandis (1996), Singularity University (2017)
The 6 D’s of exponential techs
8
9
In 1980, AT&T asked McKinsey to
forecast cell phone penetration in the
U.S. by 2000.
McKinsey’s prediction, 900,000
subscribers, was less than 1% of the
actual figure, 109 Million.
source: The Economist (1999)
10
Volatility
Uncertainty
Complexity
Ambiguity
11
Biotech
Neurotech
Nanotech
Solar & Sust. Energy
ICT & Mobile
Sensoring
3D Printing
Artificial Intelligence
Robotics
CONVERGENCE
https://youtu.be/SCGV1tNBoeU
12
“In retrospect, all
revolutions seem
inevitable. Beforehand,
all revolutions seem
impossible.”
Michael McFaul
Former U.S. Ambassador to Russia
13
Doing business in the future
P A R T 2
- Industry 4.0
- 6 Strategic Drivers: CLEVER
14
“Software is eating the
world. In the future every
company will be a
software company.”
Marc Andreessen
Co-Founder & Partner Andreessen Horowitz
15
Industry 4.0
• Industrial scale used to be a durable competitive
advantage. Now scale can be rented (e.g., Foxconn, UPS)
• Industry borders are losing importance because emerging
competitors play by different rules (e.g., Tesla, Uber)
• Cyber-Physical Techs are redefining the relationship
between matter and data, and the speed of change (e.g., 3D
Printing, Robotics)
• Ecosystems not companies are the new unit of competitive
analysis
• Data is the new oil and it is scalable, reinforceable, and
defensible
INDUSTRYTRENDS
source: Wessel (2018), Bughin & van Zeebrock (2017), Kane et al. (2015), Moore (1993)
16
Tesla is disrupting…
A. cars
B. energy storage
C. trucks
D. all of the above
Airbnb is disrupting…
A. hospitality
B. experiences
C. restaurants
D. all of the above
Quiz on Competition 4.0
Uber is disrupting…
A. chauffeurs and taxis
B. food delivery
C. post and parcels
D. all of the above
17
source: Schmiedgen (2013)
18
It is estimated that Walmart
collects data equivalent to
500 million filing cabinets’
worth of text
per hour
19
Data is non-fungible, hard to price (hence trade)
Supply of data is virtually infinite
Data use is non-rivalrous
Data ≠ Oil
New infrastructure, businesses, politics and
new economics of data
Data is extracted, refined, valued, bought and
sold uniquely
A ‘New’ Oil
source: The Economist (2017)
20
A group of young people playing a game of
Frisbee.
Computer caption
A group of men playing Frisbee in the park.
(typical) Human caption
source: The Economist (2017)
21
source:Google(2016)
22
“Almost all of AI’s recent
progress is through one
type, in which some input
data (A) is used to
quickly generate some
simple response (B).”
Andrew Ng
Stanford University
23 24
Organizations are using big data to target customer-centric outcomes,
tap into internal data, and build a better information ecosystem.
Research shows that “companies in the top third of their industry in the use of data-driven
decision making are, on average, 5% more productive and 6% more profitable than their
competitors. (McAfee & Brynjolfsson 2012)
Real-time big data isn’t just a process for storing data. It’s about the ability to make
better decisions and take meaningful actions at the right time.
Replace the HiPPO-driven approach!
25
“If you went to bed last
night as an industrial
company, you’re going to
wake up today as a
software and analytics
company.”
Jeff Immelt
Former CEO of General Electrics
26
4IR: Two challenges
• The world is changing
faster than ever,
companies need to make
strategic decisions faster
and more frequently
• The rules of strategies
have changed, companies
need to make strategic
decisions differently
TAKEAWAY
27
How to succeed in
the 4IR?
C O M E T O H U L T !
&
R E A D M Y B O O K !
😉
http://bit.ly/CLEVER_book
28
What are the
deep drivers of
strategic success?
source: UNDP (2018)
29
© Alessandro Lanteri, 2017
systems
exponential
championship decision-making
https://goo.gl/UzU2iG
30
Thank you for your attention!
A l e s s a n d r o L a n t e r i
@ A L E S S A N D R O L A N T E R I
31

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CLEVER Strategy for the Fourth Industrial Revolution

  • 1. CLEVER Strategy for the 4th Industrial Revolution A l e s s a n d r o L a n t e r i 1 Alessandro Lanteri speaker Professor of Entrepreneurship Regular Contributor to HBR Advisor, Trainer to Multinationals, International Organizations, Governments, Startups Keynote & TEDx Speaker https://goo.gl/fAeTck Author of CLEVER http://bit.ly/CLEVER_book Professor of Entrepreneurship @ A L E S S A N D R O L A N T E R I https://goo.gl/LDTv9L 2 $1million in your pocket - exponential technologies - 4th Industrial Revolution PART1 3 fuel efficiency + 45% storage capacity x 1.5 million 1980 2019 4
  • 2. “The Law of Accelerating Returns: Price, performance, and capacity of information technology progress at a predictable, exponential rate.” Ray Kurzweil Director of Engineering @ Google 5 Exponential Techs Progress Time linear exponential source: Kurzweil (2001), Singularity University (2017) 1 bn 30 😮 😍 😕 📱 DISRUPTIVE GROWTH DECEPTIVE GROWTH linear: 1, 2, 3, 4… 30 exponential: 1, 2, 4, 8… 109 which is geometric, really, but don’t tell Ray! 6 Just how bad is this digital camera? 7 3EFFECTS 3 PHASES source: Diamandis (1996), Singularity University (2017) The 6 D’s of exponential techs 8
  • 3. 9 In 1980, AT&T asked McKinsey to forecast cell phone penetration in the U.S. by 2000. McKinsey’s prediction, 900,000 subscribers, was less than 1% of the actual figure, 109 Million. source: The Economist (1999) 10 Volatility Uncertainty Complexity Ambiguity 11 Biotech Neurotech Nanotech Solar & Sust. Energy ICT & Mobile Sensoring 3D Printing Artificial Intelligence Robotics CONVERGENCE https://youtu.be/SCGV1tNBoeU 12
  • 4. “In retrospect, all revolutions seem inevitable. Beforehand, all revolutions seem impossible.” Michael McFaul Former U.S. Ambassador to Russia 13 Doing business in the future P A R T 2 - Industry 4.0 - 6 Strategic Drivers: CLEVER 14 “Software is eating the world. In the future every company will be a software company.” Marc Andreessen Co-Founder & Partner Andreessen Horowitz 15 Industry 4.0 • Industrial scale used to be a durable competitive advantage. Now scale can be rented (e.g., Foxconn, UPS) • Industry borders are losing importance because emerging competitors play by different rules (e.g., Tesla, Uber) • Cyber-Physical Techs are redefining the relationship between matter and data, and the speed of change (e.g., 3D Printing, Robotics) • Ecosystems not companies are the new unit of competitive analysis • Data is the new oil and it is scalable, reinforceable, and defensible INDUSTRYTRENDS source: Wessel (2018), Bughin & van Zeebrock (2017), Kane et al. (2015), Moore (1993) 16
  • 5. Tesla is disrupting… A. cars B. energy storage C. trucks D. all of the above Airbnb is disrupting… A. hospitality B. experiences C. restaurants D. all of the above Quiz on Competition 4.0 Uber is disrupting… A. chauffeurs and taxis B. food delivery C. post and parcels D. all of the above 17 source: Schmiedgen (2013) 18 It is estimated that Walmart collects data equivalent to 500 million filing cabinets’ worth of text per hour 19 Data is non-fungible, hard to price (hence trade) Supply of data is virtually infinite Data use is non-rivalrous Data ≠ Oil New infrastructure, businesses, politics and new economics of data Data is extracted, refined, valued, bought and sold uniquely A ‘New’ Oil source: The Economist (2017) 20
  • 6. A group of young people playing a game of Frisbee. Computer caption A group of men playing Frisbee in the park. (typical) Human caption source: The Economist (2017) 21 source:Google(2016) 22 “Almost all of AI’s recent progress is through one type, in which some input data (A) is used to quickly generate some simple response (B).” Andrew Ng Stanford University 23 24
  • 7. Organizations are using big data to target customer-centric outcomes, tap into internal data, and build a better information ecosystem. Research shows that “companies in the top third of their industry in the use of data-driven decision making are, on average, 5% more productive and 6% more profitable than their competitors. (McAfee & Brynjolfsson 2012) Real-time big data isn’t just a process for storing data. It’s about the ability to make better decisions and take meaningful actions at the right time. Replace the HiPPO-driven approach! 25 “If you went to bed last night as an industrial company, you’re going to wake up today as a software and analytics company.” Jeff Immelt Former CEO of General Electrics 26 4IR: Two challenges • The world is changing faster than ever, companies need to make strategic decisions faster and more frequently • The rules of strategies have changed, companies need to make strategic decisions differently TAKEAWAY 27 How to succeed in the 4IR? C O M E T O H U L T ! & R E A D M Y B O O K ! 😉 http://bit.ly/CLEVER_book 28
  • 8. What are the deep drivers of strategic success? source: UNDP (2018) 29 © Alessandro Lanteri, 2017 systems exponential championship decision-making https://goo.gl/UzU2iG 30 Thank you for your attention! A l e s s a n d r o L a n t e r i @ A L E S S A N D R O L A N T E R I 31