My presentation from WASP4ALL in Stockholm, Nov 2019

1. The Next Industrial Revolution
And the digital transformation of society?
Professor Robin Teigland
Entrepreneurship & Strategy Division
Chalmers University of Technology
November 2019
www.robinteigland.com | www.slideshare.net/eteigland | robin.teigland@chalmers.se | @RobinTeigland

2. All open Access

3. People
• “Net generation”
• 24x7 “mobile” workforce
• Gig economy
• Online learning
• Sharing not owning
• Sustainability
Technology
• Broadband/wifi
• Cloud, fog
• Internet of Things
• AI/ML/DL/NN
• Autonomous vehicles
• Smart robotics
• VR/AR/Holography
• 3D/4D printing/ALM
• Blockchains
• Nanotechnology
• Quantum computing
Open Source
• Software
• Hardware
• Physibles
Convergence of…..
Finance
• Microlending/microfinance
• Crowdfunding/equity/P2P lending
• Cryptocurrencies, tokens
• Blockchains, smart contracts
• Mobile money and payments
• M2M/R2R payments

4. “We always overestimate the change
that will occur in the next two years and
underestimate the change that will
occur in the next ten.”
- Bill Gates, The Road Ahead, 1996

5. Thx to R. Wieselfors, Ericsson for photos

6. Thx to R. Wieselfors, Ericsson for photos

7. Digital is the main reason
just over half the Fortune 500 companies
have disappeared since the year 2000.
-Pierre Nanterme, CEO Accenture, 2016
Yet..Digital disruption
has only just begun.

8. FIRM FOUNDED EMPLOYEES MKT CAP
BMW 1916 135,000 $39B
UBER 2009 25,000 $58B
MARRIOTT 1927 176,000 $42B
AIRBNB 2008 3,100 $35B
WALT DISNEY 1923 201,000 $245B
FACEBOOK 2004 40,000 $519B
WALMART 1962 2,200,000 $319B
ALIBABA 1999 102,000 $446B
Adapted from Parker & Van Alstyne, with Choudary, 2016, updated August 2019
Something fundamental is changing

9. Shifting market logics
Ericsson & Augur 2011

10. AI/ML/NN and data scale & scope are
foundation for solving customer needs
J. Zhang 2017

11. ”Pailitao”: Visual search and deep learning

12. • Supplier credit checks & loans
• Fake merchandise recognition
• Product recommendations pushed to
shoppers, and communicated to
retailers to increase inventory
• Dynamic pricing
• Supply chain optimization
• Robot packing and drone delivery
• “Store concierge” chatbots that
understand emotion to engage human
when necessary
• Sensors to improve customer flows
Continuous innovation offline and online
Over 1 mln Mom & Pop
stores digitalized

13. The world now stands on the
cusp of a technological revolution
in artificial intelligence and robotics
that may prove as transformative for
economic growth and human potential as were
electrification, mass production, and electronic
telecommunications in their eras.
MIT Task Force on the Work of the Future, 2019

14. http://marketrealist.com/2016/01/fourth-industrial-revolution-need-know/

19. Pizzas, AI, robots, and AVs

20. https://www.inc.com/glenn-leibowitz/meet-the-ceo-running-a-billion-dollar-company-with-no-offices-or-email.html

21. https://www.outsite.co/

22. ReGen Villages: Fully self-sufficient
http://www.regenvillages.com/

24. Transformation of economic activity
Centralized,
hierarchical
organizations
Decentralized,
self-organizing
organizations

25. Increasing forces
for local community and
circular economies

26. So, how can we
prepare for the future?

27. All our knowledge is about the past,
but all our strategic decisions are about the future
Conway 2003
What we don’t know
we don’t know
about the future
What we know
What we know
we don’t know

28. Looking into the future?
• Forecast
–How we think the future will be
• Vision
–How we want the future to be
• Scenarios
–What the future can be
–“Alternative memories” from the future
?
?
?
?

29. FUTURE OF
VALUE
CREATION
Political Economic
Sociological
TechnologicalEnvironmental
Legal
Increasing uncertainty across PESTEL

31. https://www.forbes.com/sites/annatobin/2019/01/03/5g-and-smart-home-tech-to-make-it-big-in-2019-forecasts-global-data/#2ec71e12ecd2

32. Cybersecurity – A growing risk
“We have hacked all the control
systems in your building at
400 Main Street and will close it
down for 3 days if you do not pay
$50,000 in Bitcoin
within 24 hours.”

34. Four scenarios for 2035
Global
Power
Struggl
e
Scenario 4
Business More or Less as
Usual
New
World
Order
High Technology Convergence
Low Technology Convergence
Scenario 2
Circular “ReGen” Villages
Scenario 3
Global Village Networks
Scenario 1
MegaCities in the ”Wild West”

35. Four scenarios for 2035
Global
Power
Struggle
High Technology Convergence
MegaCities in the ”Wild West”
National platforms drive out foreign platforms and
products. Global MegaCities thirst for resources
and products, yet a high level of piracy and
terrorism makes trade and transportation very
dangerous. SDGs are seen as impossible to
achieve.
Low Technology Convergence
New
World
Order
Circular “ReGen” Villages
Self-sufficient, off-grid communities are enabled
by part-time “producers” in Gig Economy. High
protectionism with new energy resources, circular
technologies, and sharing mentality drastically
reduce demand for retail and trade so some SDGs
are reached.
Global Village Networks
Nomadic communities across countries, in
oceans, and in space directly source products
and services from small, sustainable producers
worldwide. New energy resources and recycling
and material technologies make SDGs history.
Business More or Less as Usual
Monopoly-platforms from China and USA
dominate trade by sourcing from global mega
producers and delivering directly on-demand to a
vastly urbanized world. Global initiatives to meet
SDGs are pursued yet progress is very slow.

36. Companies progressing but leadership falling behind
4Boards.aiResearch; Understanding Digital Maturity – MIT/CapGemini 2018

37. Boards tend to overestimate their ”Digital Savviness”
62% of
boards report
they are digitally
savvy
Source: MIT CISR 2014 Board Survey, 81 companies.
24% of boards
are digitally savvy
based on public
data
Source: MIT CISR 2018 Board Study, 1122 companies, based on
coding of public proxy data.
4Boards.ai

38. “XXXX has a diverse Board and a strong corporate culture.
We are well positioned to achieve our strategic goal of
driving profitable growth and building shareholder value."
DigoshenOkt2019
Increasing pressure on corporate boards

39. DigoshenOct2019
Increasing pressure on corporate boards

40. Enabling corporate boards to more successfully
govern and leverage AI in their innovation and sustainability efforts
4Boards.ai Project
Board of directors

41. Leveraging Chalmers’ data science competence
+

42. AI-enhanced research of AI innovation
• Development of AI Maturity Barometer
– AI-enabled analysis of annual reports,
websites, company databases, etc
• MappingAI competence at board level
– AI-enabled analysis of interlocking
directorates
• MappingAI competence in firms
– AI-enabled analysis of Swedish competence
on LinkedIn and Arbetsförmedling
• Other
– Open source vs closed source
– Networking vs hierarchy
• Organizational performance
– Financial
– Innovation
– Other?
• Regional performance
– Employment
– Digital divide
– Other?
AI/ML/NN
Sept 2019 to Aug 2022

43. Exploitation Exploration

44. Exploration

45. Digital technologies enable
ocean opportunities
• Robotics and drones
• AI/ML/NN
• Marine simulations
• New material technologies
• Additive manufacturing
• IoT
• Blockchain
Entrepreneurial Mindset

46. Ocean Data Factory Sweden
To enable Sweden to be a global leader in
sustainability and innovation in the digital blue economy
Professor Robin Teigland, Chalmers University of Technology (ODF Director)
Dr. Torsten Linders, Gothenburg University (ODF Coordinator)
Robert Rylander, RISE (Research Coordinator)
Peter Karlsson, Combine (AI Coordinator)

47. Absence/prediction
Pointsampler
Presence
Absence_Salinity_today
Absence_Temp_today
Absence_Substrate
Absence_Depth
.csv
AI Train
Detect anomaly (should it already
be here?)
Prediction
Absence_Salinity_Climate
Change
Absence_Temp_Climate
Change
Pointsampler
Presence_Salinity_today
Presence_Temp_today
Presence_Substrate
Presence_Depth
API
Invasive species Dikerogammarus villosus
Absence_Exposure Presence_ Exposure
Absence_Shipping_traffic Presence_Shipping_traffic
First Innovation Cycle
Predicting the spread into
the Baltic Sea of an
invasive species

48. University
Public
sector
Industry
Global quadruple helix for data-driven innovation

49. Smart Ocean Network
for data-driven, sustainable innovation
smartOCEAN
Peniche, Portugal
Smart Ocean
VGR, Sweden
Goal: To create a global network of hubs for sustainable ocean innovation

50. Mapping Ocean Litter
with AI and Drones
Recycling Ocean Waste with
Carbon, Graphene, & 3D Printing
Recovering Ocean Litter with
Repurposed Fishing Vessels
Manufacturing combined
with Blockchain
PENICHE OCEAN WATCH
A Blue Circular Economy Based on Ocean Litter
Sustainable Ocean
Entrepreneurship

51. To improve competitiveness and sustainability
of small-scale fishing fleets
through a subscription data service
The Peladrone Project

52. From catching
fish to searching
for ocean litter
Extending the Peladrone service range

53. EMLO Project
Empowering Marine Litter Opportunities

54. Documentary on Portuguese National TV
https://www.rtp.pt/programa/tv/p37509/e4

55. BA
Two individuals (organizations)
with the same number of contacts…

56. …but with very different
access to signals, ideas, and resources
BA

57. The Next Industrial Revolution
And the digital transformation of society?
Professor Robin Teigland
Entrepreneurship & Strategy Division
Chalmers University of Technology
November 2019
www.robinteigland.com | www.slideshare.net/eteigland | robin.teigland@chalmers.se | @RobinTeigland