Peter's presentation

1. Peter Schwartz
SVP, Strategic Planning
Salesforce
pschwartz@salesforce.com
@peterschwartz2
Innovation and Survival: How to
avoid getting Ubered
Basecamp, Copenhagen, 11/10/17

2. Forward-Looking Statements
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make. All statements other than statements of historical fact could be deemed forward-looking, including any projections of product or service availability, subscriber
growth, earnings, revenues, or other financial items and any statements regarding strategies or plans of management for future operations, statements of belief, any
statements concerning new, planned, or upgraded services or technology developments and customer contracts or use of our services.
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products and services, our new business model, our past operating losses, possible fluctuations in our operating results and rate of growth, interruptions or delays
in our Web hosting, breach of our security measures, the outcome of any litigation, risks associated with completed and any possible mergers and acquisitions, the
immature market in which we operate, our relatively limited operating history, our ability to expand, retain, and motivate our employees and manage our growth,
new releases of our service and successful customer deployment, our limited history reselling non-salesforce.com products, and utilization and selling to larger
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3. Tectonic events over the last year

4. Science and Technology
Embedded
Intelligence

5. Technology revolutions: accelerating the pace of change
The Mainframe
Source: WEF - Digital Transformation, Jan 2016

6. Technology revolutions: accelerating the pace of change
PCs put power in everyone’s hands
Source: WEF - Digital Transformation, Jan 2016

7. Technology revolutions: accelerating the pace of change
Smartphones–anywhere, anytime information
Source: WEF - Digital Transformation, Jan 2016

8. Technology revolutions: accelerating the pace of change
Converging tech means a new age of discontinuity
Source: WEF - Digital Transformation, Jan 2016

9. Technology revolutions: accelerating the pace of change
The beginnings of Artificial Intelligence
Source: WEF - Digital Transformation, Jan 2016

10. AI Mythology
General AI is still science
fiction

11. Machine intelligence applied to a narrow specialty,
taking the friction out of the everyday
What is Narrow AI?
Embedded
Intelligence

12. Clara
Calendaring
Assistant

13. Apple Watch

14. What will the future look like?

15. The Age of the Customer
Connect to your customers in a whole new way
Predictive
Marketin
g
Guided
Sales
Connected
Products
Conversational
Service
Actionable
Analytics
Intelligent
Communitie
s
Smart
Apps
Unified
Commerc
e
Customer
Single view
of the

16. Intelligent Customer Success Platform
Sales Service Marketing AnalyticsCommunity Apps Commerce IoT Quip
force.com
Heroku
Component
Exchange
Data Management
Platform
CRM Data
IoT & Social
Data
Platform
Applications
AppExchange
Predictive
Analytics
Machine &
Deep Learning
Natural Language
Processing

17. Mobile devices will remain
a vital hub…
What will the future look like?

18. …at the center of an
increasingly connected life
What will the future look like?

19. Stratospheric
Balloons
Solar-powered
Drones
Micro-satellites Light-based
New channels for connectivity

20. Here One combines the
latest in speaker tech with
augmented auditory
capabilities
AR Round 2
Autism Glass uses AR to
teach children how to
identify emotion
Therapy Glasses Hearables
ODG, ASUS, Sony,
Samsung, Google,
Microsoft, etc. 11+
releasing 2018
The Growing Set of Wearables

21. Brain Control
New User Interfaces
The neural control of machines

22. Everything around us will
be connected and awake

23. From personal to intimate computing
You know your
computer
Your computer knows
you

24. Service Sector Revolution: Digital Assistants for All
Prioritize & optimize
Prompt, as well as respond
Span personal & professional lives
Continuously learn

25. How interoperable will digital assistant ecosystems be?

26. Sensors in all aspects of our lives
Connected
Person
Connected
home
Connected
city
Connected
car
Connected
workplace

27. Home assistant
BREAKFAST
A day in the life of the interconnected world

28. Self-driving car
COMMUTE
A day in the life of the interconnected world

29. Connected office
OFFICE
A day in the life of the interconnected world

30. VR shared experience
A day in the life of the interconnected world
ENTERTAINMENT

31. Intimate computing depends on
machine intelligence advances

32. Source: Gartner
Maturity curve of analytics

34. Tools, Talent, Treasure

35. Artificial Intelligence as a service
Machine Learning
Google Cloud Platform

36. Can machines replicate human tastes and sensibilities?
Man-Machine systems

37. Human-Machine symbiosis:
Intelligence augmentation
Man-Machine systems
Experts and algorithms
working together

38. Personal Data/Info
Economy

39. Source: FTC.gov

40. Source: FTC.gov

41. Data is the New Oil...We are the Wells
1.5k+
On over 200MM
Americans
Pieces of info
per consumer
While beneficial to both parties, there is
increasingly an imbalance of power.
Powerful ML algorithms are using our data
to make decisions about us and for us

42. What does this mean for
work and life?

43. Industries and jobs will always evolve
Source: U.S. Bureau of Labor Statistics, Sep 2016

44. Job activities, not entire occupations, will be automated
Source: McKinsey Global Institute, Jul 2016
v

45. New industries will continue
to emerge
AI will make this reality more likely

46. The rise of the independent workforce
Sources: MBO Partners: State of Independence in America – Jun 2016; Upwork: Freelancing in America – Oct 2015
‘11-‘16 < ‘16-‘21
2X growth rate

47. Drivers of the Independent Workforce
Business
Increasingly
competitive global
economy
Looking for
increased
flexibility
More cost efficient
to hire project
basis only
Workers
Jaded after
layoffs/pay cuts
Increasing workloads
and decreasing job
security
Greater work/life
balance; be your own
boss flexibility
Enablers
Cheaper, more
powerful/accessible
technology
Vastly improved
networks driven by
social platforms

48. The Peer Economy

49. Netflix AlgorithmNumer.AI Algorithmia
Turning big data into a valuable asset
Algorithm Economy

50. The Crowd Economy

51. The manufacturing revolution

52. The community revolution

53. Hyperchain Polychain CapitalCOIN - a new kind of AI service
What comes after Blockchain?
A wave of new FinTech is already here

54. Further develop
uniquely human skills
Polanyi’s Paradox:
We know more than we can tell

55. The most important skill:
How to learn (and relearn)
“The illiterate of the 21st
Century will not be those who
cannot read and write, but
those who cannot learn,
unlearn, and relearn”
— Alvin Toffler

56. New sources of learning

57. Fun and easy way to learn to be your best
New Learning Model
Product
Knowledge
HR &
Culture
Leadership &
Management
2.5M+ Badges
completed 200+ Badges
available
Visit trailhead.salesforce.com
and get started today

58. Future of Work Scenarios

59. Future of Work Scenarios
Current Jobs
Displaced Quickly
Current Jobs
Displaced Slowly

60. Future of Work Scenarios
Current Jobs
Displaced Quickly
Current Jobs
Displaced Slowly
New Jobs
Emerge Quickly
New Jobs
Emerge Slowly

61. Future of Work Scenarios
Current Jobs
Displaced Quickly
Current Jobs
Displaced Slowly
New Jobs
Emerge Quickly
New Jobs
Emerge Slowly
Jobs Crisis
Focused investment in
training/re-training
Public sector intervention, UBI;
private sector automation tax

62. Future of Work Scenarios
Current Jobs
Displaced Quickly
Current Jobs
Displaced Slowly
New Jobs
Emerge Quickly
New Jobs
Emerge Slowly
False Alarm
Jobs Crisis
Slow, manageable
change; non-urgent
Focused investment in
training/re-training
Public sector intervention, UBI;
private sector automation tax

63. Future of Work Scenarios
Current Jobs
Displaced Quickly
Current Jobs
Displaced Slowly
New Jobs
Emerge Quickly
New Jobs
Emerge Slowly
False Alarm Labor Shortage
Jobs Crisis
Slow, manageable
change; non-urgent
Training investment & public-
private sector collaboration
on incentives
Focused investment in
training/re-training
Public sector intervention, UBI;
private sector automation tax

64. Future of Work Scenarios
Current Jobs
Displaced Quickly
Current Jobs
Displaced Slowly
New Jobs
Emerge Quickly
New Jobs
Emerge Slowly
New Economy
False Alarm Labor Shortage
Jobs Crisis
Slow, manageable
change; non-urgent
Training investment & public-
private sector collaboration
on incentives
Focused investment in
training/re-training
Public sector intervention, UBI;
private sector automation tax

65. “…not just number of jobs lost to more efficient
machines, but automation may prevent the
economy from creating enough new
jobs…automation is beginning to move in
and eliminate service and office jobs too”
The Automation Jobless

66. “…not just number of jobs lost to more efficient
machines, but automation may prevent the
economy from creating enough new
jobs…automation is beginning to move in
and eliminate service and office jobs too”
The Automation Jobless
- February 24, 1961

67. Peter Schwartz
SVP, Strategic Planning
Salesforce
pschwartz@salesforce.com
@pschwartz2