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Into the Future with Artificial Intelligence
------
Opportunities and Challenges
Professor Robin Teigland
Chalmers University of Technology
www.robinteigland.com | www.slideshare.net/eteigland | robin.teigland@chalmers.se| @RobinTeigland
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
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.
Thx to R. Wieselfors, Ericsson for photos
Thx to R. Wieselfors, Ericsson for photos
Analyzing
European tourism
with digital traces
http://www.etc-corporate.org/
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
Updated from http://www.visualcapitalist.com/chart-largest-companies-market-cap-15-years/; statista, November 2018
$1.06T $754B
$782B $820B
2018
$438B
Technology (AI) replacing energy and
banking
Exploitation Exploration
FIRM FOUNDED EMPLOYEES MKT CAP
BMW 1916 130,000 $56B
UBER 2009 16,000 $72B
MARRIOTT 1927 177,000 $40B
AIRBNB 2008 10,000 $38B
WALT DISNEY 1923 199,000 $171B
FACEBOOK 2004 25,000 $422B
WALMART 1962 2,200,000 $300B
ALIBABA 1999 66,000 $353B
Adapted from Parker & Van Alstyne, with Choudary, 2016, updated November 2018
Something fundamental is changing
Everytime you interact with an Airbnb
app or the website, you’re interacting
with machine learning in one way or
another.
-Mike Curtis, VP of Engineering
Shifting market logics – The rise of platforms
Ericsson & Augur 2011
B2B data platforms growing
Transformation of economic activity
Centralized,
hierarchical
organizations
Decentralized,
self-organizing
organizations
Decentralized “Ebay”
“Flash organization” with Upwork freelancers
Valentine et al., 2017, http://hci.stanford.edu/publications/2017/flashorgs/flash-orgs-chi-2017.pdf
http://marketrealist.com/2016/01/fourth-industrial-revolution-need-know/
https://www.inc.com/glenn-leibowitz/meet-the-ceo-running-a-billion-dollar-company-with-no-offices-or-email.html
Increasing forces
for local community and
circular economies
ReGen Villages – Fully self-sufficient
http://www.regenvillages.com/
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
While 63% of CEOs
believe AI will have a
larger impact on the
world than the
internet,….
https://www.pwc.com/gx/en/ceo-survey/2019/report/pwc-22nd-annual-global-ceo-survey.pdf
…only 6% have
AI initiatives on a
wider scale in the
organization.
Companies progressing but leadership falling behind
Research; Understanding Digital Maturity – MIT/CapGemini 2018
Boards 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.
Digital Savvy Boards -> Higher performance
• Companies with digitally savvy boards
• 38% higher revenue growth
• 34% higher ROA
• 34% higher market growth
• 3 digitally savvy directors required to
impact performance
Source: MIT Research 2018
A single tech savvy director in the boardroom risks
being lonely and misunderstood.
To effect change at the board level, there must be a
critical mass of directors who truly understand; and,
ideally, every director is conversant.
—Jenny Banner, Lead Director, BB&T
Source: MIT CISR 2018 Board Study
Boards and Top Management not aligned on AI
Research; AI in Europe & Sweden by EY and Microsoft 2018 (n=267)
35
IDEO
• Payment systems
– Functionality
– Fraud
• Third parties and IoT devices
– Ownership and fraud
– Operational, health & safety
• Data
– Cyberhacking and security breaches
– Ownership
– Integrity and ethical use of personal data
• Artificial intelligence
– ML blackbox
– Algorithm & training data bias
• Regulation & compliance
– Upstream and downstream
– National & international
Increasing
complexity
of trust
Interpersonal trust – People
Institutional trust – Platform
1st Rev
2nd Rev
3rd Rev
Changing focus of trust
Institutional trust - Brand
4th Rev Procedural trust – AI
????
Old fashioned Governance in the Era of AI Disruption –
The Challenges of AI for Sustainable Corporate Governance
© All rights reserved Digoshen AB
2018-2021
Robin Teigland, Professor, Chalmers University of Technology
Liselotte Engstam, Chairman & Research Director, Digoshen, NED
Fernanda Torre, Researcher, Stockholm School of Economics
Anthony Larsson, Researcher, Stockholm School of Economics
AI-enabled research of digital transformation
• Mapping of AI competence in
firms
– AI-enabled analysis of Swedish
talent on LinkedIn
• Mapping of AI competence at
board level
– AI-enabled analysis of
interlocking directorates
• Development of AI Maturity
Scale
– Above results
– AI-enabled analysis of annual
reports and websites
• Organizational
performance
– Financial
– Innovation
– Other?
• Regional performance
– Employment
– Other?
Free online AI courses
The future is already here -
it’s just not very evenly
distributed.
- William Gibson
www.robinteigland.com
www.slideshare.net/eteigland
Robin.teigland@chalmers.se
@RobinTeigland

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RobinTeigland_CHAIR Mar 2019.pptx

  • 1. Into the Future with Artificial Intelligence ------ Opportunities and Challenges Professor Robin Teigland Chalmers University of Technology www.robinteigland.com | www.slideshare.net/eteigland | robin.teigland@chalmers.se| @RobinTeigland
  • 2. 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
  • 3. 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.
  • 4. Thx to R. Wieselfors, Ericsson for photos
  • 5. Thx to R. Wieselfors, Ericsson for photos
  • 6. Analyzing European tourism with digital traces http://www.etc-corporate.org/
  • 7. 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
  • 8. Updated from http://www.visualcapitalist.com/chart-largest-companies-market-cap-15-years/; statista, November 2018 $1.06T $754B $782B $820B 2018 $438B Technology (AI) replacing energy and banking
  • 10. FIRM FOUNDED EMPLOYEES MKT CAP BMW 1916 130,000 $56B UBER 2009 16,000 $72B MARRIOTT 1927 177,000 $40B AIRBNB 2008 10,000 $38B WALT DISNEY 1923 199,000 $171B FACEBOOK 2004 25,000 $422B WALMART 1962 2,200,000 $300B ALIBABA 1999 66,000 $353B Adapted from Parker & Van Alstyne, with Choudary, 2016, updated November 2018 Something fundamental is changing
  • 11. Everytime you interact with an Airbnb app or the website, you’re interacting with machine learning in one way or another. -Mike Curtis, VP of Engineering
  • 12. Shifting market logics – The rise of platforms Ericsson & Augur 2011
  • 14. Transformation of economic activity Centralized, hierarchical organizations Decentralized, self-organizing organizations
  • 16. “Flash organization” with Upwork freelancers Valentine et al., 2017, http://hci.stanford.edu/publications/2017/flashorgs/flash-orgs-chi-2017.pdf
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  • 24. Increasing forces for local community and circular economies
  • 25. ReGen Villages – Fully self-sufficient http://www.regenvillages.com/
  • 26. 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
  • 27. While 63% of CEOs believe AI will have a larger impact on the world than the internet,…. https://www.pwc.com/gx/en/ceo-survey/2019/report/pwc-22nd-annual-global-ceo-survey.pdf …only 6% have AI initiatives on a wider scale in the organization.
  • 28. Companies progressing but leadership falling behind Research; Understanding Digital Maturity – MIT/CapGemini 2018
  • 29. Boards 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.
  • 30. Digital Savvy Boards -> Higher performance • Companies with digitally savvy boards • 38% higher revenue growth • 34% higher ROA • 34% higher market growth • 3 digitally savvy directors required to impact performance Source: MIT Research 2018
  • 31. A single tech savvy director in the boardroom risks being lonely and misunderstood. To effect change at the board level, there must be a critical mass of directors who truly understand; and, ideally, every director is conversant. —Jenny Banner, Lead Director, BB&T Source: MIT CISR 2018 Board Study
  • 32. Boards and Top Management not aligned on AI Research; AI in Europe & Sweden by EY and Microsoft 2018 (n=267)
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  • 35. • Payment systems – Functionality – Fraud • Third parties and IoT devices – Ownership and fraud – Operational, health & safety • Data – Cyberhacking and security breaches – Ownership – Integrity and ethical use of personal data • Artificial intelligence – ML blackbox – Algorithm & training data bias • Regulation & compliance – Upstream and downstream – National & international Increasing complexity of trust
  • 36. Interpersonal trust – People Institutional trust – Platform 1st Rev 2nd Rev 3rd Rev Changing focus of trust Institutional trust - Brand 4th Rev Procedural trust – AI ????
  • 37. Old fashioned Governance in the Era of AI Disruption – The Challenges of AI for Sustainable Corporate Governance © All rights reserved Digoshen AB 2018-2021 Robin Teigland, Professor, Chalmers University of Technology Liselotte Engstam, Chairman & Research Director, Digoshen, NED Fernanda Torre, Researcher, Stockholm School of Economics Anthony Larsson, Researcher, Stockholm School of Economics
  • 38. AI-enabled research of digital transformation • Mapping of AI competence in firms – AI-enabled analysis of Swedish talent on LinkedIn • Mapping of AI competence at board level – AI-enabled analysis of interlocking directorates • Development of AI Maturity Scale – Above results – AI-enabled analysis of annual reports and websites • Organizational performance – Financial – Innovation – Other? • Regional performance – Employment – Other?
  • 39. Free online AI courses
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  • 41. The future is already here - it’s just not very evenly distributed. - William Gibson