The presentation was given for LTC's conference in Indianapolis on October 26, 2017.

1. Change Agents
How Consumer Centric Technology Companies Are Changing the World and How to Survive |
@KylePLacy 10/23/17

3. My Career

4. Lessonly is used by thousands of teams
to translate important work knowledge
into lessons that accelerate productivity.

5. We must understand change.

6. Louis CK Video

7. Why is this happening?

8. Companies are struggling to
keep up with the rate of
modern change

9. Technology
RateofChange
Time
Deloitte University Press | dupress.deloitte.com

10. Technology
Highest Performing Teams
and Businesses
RateofChange
Time
Deloitte University Press | dupress.deloitte.com

11. Technology
Highest Performing Teams
and Businesses
RateofChange
Time
Typical Businesses
Deloitte University Press | dupress.deloitte.com

12. My morning
before 8am…

13. Deloitte University Press | dupress.deloitte.com
RateofChange
Time
Individuals
Technology
Highest Performing Teams
and Businesses
Typical Businesses

14. Deloitte University Press | dupress.deloitte.com
RateofChange
Time
Highest Performing Teams
and Businesses
Typical Businesses
THE
DIVIDE

15. The gap between those who can find,
create, manage, process and
disseminate information and those
who are impaired in the process.

16. The impact of this divide is real.

17. “People are falling behind because
technology is advancing so fast
and our skills and organizations
aren’t keeping up.”
— Erik Brynjolfsson, MIT

18. Netflix vs. Blockbuster (2004 - 2010)
$6 Billion
Time
$4 Billion
$2 Billion
$0
Blockbuster Revenue
Netflix Revenue

19. Netflix vs. Blockbuster (2004 - 2010)
$6 Billion
Time
$4 Billion
$2 Billion
$0
Blockbuster Revenue
Netflix Revenue

20. Netflix is a $60 billion company.
That’s 12x Blockbuster’s peak value.

21. “Companies rarely die from moving too fast,
and they frequently die from moving too slowly.”
—Reed Hastings, Netflix

22. Industrial
Revolution
1760-1840
Cotton Gin
Steam Engine
Bessemer Process
Model T
Telephone
Transistor

23. Industrial
Revolution
1760-1840
Information
Revolution
1940-1990
Computers
Radio
Television
Internet
Cotton Gin
Steam Engine
Bessemer Process
Model T
Telephone
Transistor

24. Industrial
Revolution
1760-1840
Information
Revolution
1940-1990
Consumer
Revolution
2000-2016
Mobile
Social
SaaS
Cloud
Machine Learning
Computers
Radio
Television
Internet
Cotton Gin
Steam Engine
Bessemer Process
Model T
Telephone
Transistor

25. Industrial
Revolution
1760-1840
Information
Revolution
1940-1990
Consumer
Revolution
2000-2016
Intelligence
Revolution
2020+
Mobile
Social
SaaS
Cloud
Machine Learning
Computers
Radio
Television
Internet
Cotton Gin
Steam Engine
Bessemer Process
Model T
Telephone
Transistor
Nanotechnology
Artificial Intelligence
Virtual Reality
Deep Learning
Blockchain

27. SURVIVING CHANGE
We need to understand the trends to survive.
• Micro-Moments
• Data at Scale
• Assisted Intelligence
• Machine Intelligence

28. 1. Micro-Moments

29. 29

32. We are the Google Generation.

33. 100,000,000,000
Number of monthly Google searches

34. When you need
it now
Type to search
Google Search I’m Feeling Lucky

35. FB Mobile = 1,100,000,000
monthly active users

36. 1999

39. JUST-IN-TIME: denoting a
manufacturing system in which
materials or components are delivered
immediately before they are required in
order to minimize inventory costs.

40. “Amazon says it may box and ship products
it expects customers in a specific area will
want—based on previous orders and other
factors…”

41. @KYLEPLACY

42. CUSTOMER

43. CONSUMER

44. AND THE
EXPERIENCE
IS SEAMLESS

45. @KYLEPLACY

48. “…Amazon blimps would circle over cities at
45,000 feet and launch drones carrying
orders. The drones would initially fall to
earth relying largely on gravity, and their
motors would fire up for the final stretch.”
Source: http://money.cnn.com/2016/12/29/technology/amazon-aerial-warehouse/

51. 2. Data at Scale

52. “We must move from numbers
keeping score to numbers that
drive better actions.”
— David Walmsley

53. A rorschach test…

55. EXAMPLE OF AN
IMPACT SLIDE TEXT
Example of supporting information or
sourcing information goes here

59. How do you feel?

60. EXAMPLE OF AN
IMPACT SLIDE TEXT
Example of supporting information or
sourcing information goes here

61. Now?

62. 70% of technology
implementations fail because
of bad data.
— Forrester

63. There is one source of truth and
everyone is responsible for keeping it
clean.

64. File Management and Email Chat and Collaboration
Project & Process ManagementLearning and Development
Journey & Email Management
Data Management List Development
CRM
Business Intelligence

66. @KYLEPLACY

67. @KYLEPLACY

68. 3. Assisted Intelligence

69. @KYLEPLACY

70. Meet Amy Ingram

76. “If Alexa were a human assistant,
you’d fire her, if not have her
committed.”
- Farhad Manjoo

77. Machine Intelligence

78. ASSISTED INTELLIGENCE
What needs to happen to gain true machine intelligence?
• Deep Learning
• Natural Language Processing
• Quantum Computing

79. Deep Learning
is a subfield of machine learning concerned
with algorithms inspired by the structure and
function of the brain called artificial neural
networks.

80. Location Based
Intelligence
Personalization &
Interaction Engine
Reverse Logistics
Solution
Personalization
Engine

81. Natural Language Processes (NLP)
is the ability of a computer program to
understand human speed as it is spoken.

83. Deep Learning & NLP
More data + More Intelligence = Highly
Personalized Experiences

84. Final Thoughts:
How do we adapt?

85. Deloitte University Press | dupress.deloitte.com
RateofChange
Time
Individuals
Technology
Highest Performing Teams
and Businesses
Typical Businesses
THE
DIVIDE

86. The company is viewed as an agile
network, empowered by team
leaders and fueled by collaboration
and knowledge-sharing.

87. The creation and management of the
customer experience is the only
thing that makes you relevant.

88. contact.
Kyle.lacy@lessonly.com
@kyleplacy