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AMPLIFYING
HUMAN POTENTIAL
Towards Purposeful
Artificial Intelligence
2
Here we look at AI Maturity - how it differs
amongst companies, sectors and countries, and
the driving forces for adoption and preparations
for AI use.
Introduction
1,600
IT and business decision
makers were interviewed
from organizations of
more than
1,000
employees with
$500M
or more annual revenue
From a range of sectors and across seven countries:
US
UK
France
Germany
Australia
China
India
3
Current Status and Motivation
28%
25%
20%
15%
5%
4%
2%
Competitor advantage
Executive-led decision
Particular business, operational or
technical problem
Internal experiment
Customer demands
Unexpected solution to problem
Offshoot of another project
Driving forces for AI deployment
44%
have or plan to deploy expert
systems (software that
leverages databases and
repositories to assist
decision-making)
39%
revenue rise by 2020
expected as a result of AI
25%of companies surveyed
have already fully deployed
at least one AI solution,
with it delivering positive
results
4
Preparing for AI
But alongside these key elements, many
organizations recognize the value that
outside specialist help can offer…
60%are investing in supporting
IT infrastructure
53%are developing
knowledge within the business
to assist with planning
46%
for knowledge gathering
40%
54%are looking at predictive or
prescriptive analytics
51%are looking at
machine learning
65%of respondents say that their organization has
deployed or plans to deploy big data automation for
collecting, processing and storing data
5
Journey to AI Maturity
25%
11%
29%
7%
9%
10%
9%
Scale of AI deployment
25%
have fully deployed AI and
report that it is delivering to
their expectations
9%
have no intention of
considering AI, but this
is the minority
Fully deployed and they are working as expected
Fully deployed but they are not delivering to expectations
Partially deployed and they are working as expected
Partially deployed but they are not delivering to expectations
Limited deployment, results unknown
No deployment but we plan to in the future
No plans to deploy
$6.7 millionin them in the last year.
On average, respondents’ organizations that
have fully, or partially, deployed AI-based
technologies have invested
6
Defining Maturity Groups
Based on the score that they achieved, respondents were placed into one of five groups reflecting their organizations’ AI
maturity. The maturity index defines five key maturity groups:
12% 21% 38% 21% 9%
Sceptics Watchers Explorers Rising stars Visionaries
 No current AI deployment
 Lacking AI related skills
 Do not see a strong link
between AI deployment and
future strategy success
 Early stages of use
 AI related skills remain low
 Link between AI deployment
and strategy success is more
recognized
 AI related skills on the
increase
 More initiatives planned for AI
in the coming 12 months
 Greater level of AI related
skills
 Increasing number of
supporting activities for AI
 AI is seen as key to
strategic success
 AI deployed successfully
throughout the organization
 AI related skill levels are high
 Greater number of AI
technologies deployed
 AI is a central tenet in the
success of the future strategy
LEAST AI MATURE MOST AI MATURE
7
AI Maturity Levels – by Country
56
55
53
46
44
44
40
China
India
Germany
US
UK
France
Australia
Average survey score by country
8
AI Maturity Levels – by Industry
58
545251505050
47
44
32
Average survey score by industry
9
Barriers to Adoption
54%54%
49%
47%47%
37%
Employee fear of
change
Lack of in-house
skills to implement
and manage
Lack of knowledge
about where AI can
assist
Concerns about
handing over
control
Cultural
acceptance
Senior
management
resistance
Barriers to AI adoption
Very few advances in technology have come so closely entwined with the issue of ethics as AI does.
It is an area that touches all stakeholders – management, employees, customers and the wider world.
10%of respondents believe that their
organization is fully maximizing the
benefits of AI currently
Only
10
Ethical Implications
36%
30%
20%
8%
6%
Consideration of AI ethics
Yes, completely
No, only partially
No, not at all but we
should do
No, not at all and we
don’t think it is relevant
I don’t know
53%believe ethical concerns stop
AI from being as effective as it
can be
36%believe that their organization
has completely considered the
ethical issues relating to the
use of AI
11
Employee Concerns
34%
believe increased
impact on privacy to be
among the chief areas
to address
43%
employee
concerns around
safety of data
28%believe that AI’s impact will go
beyond concerns about the day-
to-day job and will also have an
impact on their employees’
human dignity, such as their
sense of self-worth
With employees tasked with the
successful implementation,
management and use of AI
technologies, these are fears that
cannot be ignored
12
Future for the Employee
75%are currently or
planning to replace
workforce resources
with technology
80%of companies replacing roles
with AI technologies will
redeploy displaced
employees
13
Required AI Skills in Organizations
The level and sophistication of skills will rise with decision makers believing active learning
(58%), complex problem solving (53%) and critical thinking (46%) to be key.
Creativity (46%) and logical reasoning (43%) also come into play, highlighting a growing
need for employees who can learn quickly, think on their feet and overcome problems
efficiently in order to succeed in an AI-driven environment.
According to respondents, future education is vital, with the most important academic
subjects for future generations are computer sciences (72%), business and management
(47%) and mathematics (45%).
14
Broader AI Benefits and Impact
76%
70%
65%
64%
53%
39%
35%
AI opinions
65%of decision makers believe
AI will bring out the best in
their organization’s people
The benefits of AI will eventually spread
beyond the organization and into the macro
environment
76%
feel AI will deliver
positive economic
change
70%
feel AI will deliver
positive societal
change
I believe AI will deliver positive
economic change
I believe AI will deliver
positive societal change
I believe AI will bring out the best
in my organization’s people
The future growth of my organization
is dependent upon large scale AI adoption
Ethical concerns significantly stop AI
being as effective as it can be
We are willing to sacrifice employee
satisfaction for the benefits of AI
We are willing to sacrifice customer
service for the benefits of AI
Copyright © 2017 Infosys Limited
Visit Infosys.com/AImaturity
Thank You
to find out more about the AI Maturity Index
and the survey results

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Infosys Amplifying Human Potential

  • 2. 2 Here we look at AI Maturity - how it differs amongst companies, sectors and countries, and the driving forces for adoption and preparations for AI use. Introduction 1,600 IT and business decision makers were interviewed from organizations of more than 1,000 employees with $500M or more annual revenue From a range of sectors and across seven countries: US UK France Germany Australia China India
  • 3. 3 Current Status and Motivation 28% 25% 20% 15% 5% 4% 2% Competitor advantage Executive-led decision Particular business, operational or technical problem Internal experiment Customer demands Unexpected solution to problem Offshoot of another project Driving forces for AI deployment 44% have or plan to deploy expert systems (software that leverages databases and repositories to assist decision-making) 39% revenue rise by 2020 expected as a result of AI 25%of companies surveyed have already fully deployed at least one AI solution, with it delivering positive results
  • 4. 4 Preparing for AI But alongside these key elements, many organizations recognize the value that outside specialist help can offer… 60%are investing in supporting IT infrastructure 53%are developing knowledge within the business to assist with planning 46% for knowledge gathering 40% 54%are looking at predictive or prescriptive analytics 51%are looking at machine learning 65%of respondents say that their organization has deployed or plans to deploy big data automation for collecting, processing and storing data
  • 5. 5 Journey to AI Maturity 25% 11% 29% 7% 9% 10% 9% Scale of AI deployment 25% have fully deployed AI and report that it is delivering to their expectations 9% have no intention of considering AI, but this is the minority Fully deployed and they are working as expected Fully deployed but they are not delivering to expectations Partially deployed and they are working as expected Partially deployed but they are not delivering to expectations Limited deployment, results unknown No deployment but we plan to in the future No plans to deploy $6.7 millionin them in the last year. On average, respondents’ organizations that have fully, or partially, deployed AI-based technologies have invested
  • 6. 6 Defining Maturity Groups Based on the score that they achieved, respondents were placed into one of five groups reflecting their organizations’ AI maturity. The maturity index defines five key maturity groups: 12% 21% 38% 21% 9% Sceptics Watchers Explorers Rising stars Visionaries  No current AI deployment  Lacking AI related skills  Do not see a strong link between AI deployment and future strategy success  Early stages of use  AI related skills remain low  Link between AI deployment and strategy success is more recognized  AI related skills on the increase  More initiatives planned for AI in the coming 12 months  Greater level of AI related skills  Increasing number of supporting activities for AI  AI is seen as key to strategic success  AI deployed successfully throughout the organization  AI related skill levels are high  Greater number of AI technologies deployed  AI is a central tenet in the success of the future strategy LEAST AI MATURE MOST AI MATURE
  • 7. 7 AI Maturity Levels – by Country 56 55 53 46 44 44 40 China India Germany US UK France Australia Average survey score by country
  • 8. 8 AI Maturity Levels – by Industry 58 545251505050 47 44 32 Average survey score by industry
  • 9. 9 Barriers to Adoption 54%54% 49% 47%47% 37% Employee fear of change Lack of in-house skills to implement and manage Lack of knowledge about where AI can assist Concerns about handing over control Cultural acceptance Senior management resistance Barriers to AI adoption Very few advances in technology have come so closely entwined with the issue of ethics as AI does. It is an area that touches all stakeholders – management, employees, customers and the wider world. 10%of respondents believe that their organization is fully maximizing the benefits of AI currently Only
  • 10. 10 Ethical Implications 36% 30% 20% 8% 6% Consideration of AI ethics Yes, completely No, only partially No, not at all but we should do No, not at all and we don’t think it is relevant I don’t know 53%believe ethical concerns stop AI from being as effective as it can be 36%believe that their organization has completely considered the ethical issues relating to the use of AI
  • 11. 11 Employee Concerns 34% believe increased impact on privacy to be among the chief areas to address 43% employee concerns around safety of data 28%believe that AI’s impact will go beyond concerns about the day- to-day job and will also have an impact on their employees’ human dignity, such as their sense of self-worth With employees tasked with the successful implementation, management and use of AI technologies, these are fears that cannot be ignored
  • 12. 12 Future for the Employee 75%are currently or planning to replace workforce resources with technology 80%of companies replacing roles with AI technologies will redeploy displaced employees
  • 13. 13 Required AI Skills in Organizations The level and sophistication of skills will rise with decision makers believing active learning (58%), complex problem solving (53%) and critical thinking (46%) to be key. Creativity (46%) and logical reasoning (43%) also come into play, highlighting a growing need for employees who can learn quickly, think on their feet and overcome problems efficiently in order to succeed in an AI-driven environment. According to respondents, future education is vital, with the most important academic subjects for future generations are computer sciences (72%), business and management (47%) and mathematics (45%).
  • 14. 14 Broader AI Benefits and Impact 76% 70% 65% 64% 53% 39% 35% AI opinions 65%of decision makers believe AI will bring out the best in their organization’s people The benefits of AI will eventually spread beyond the organization and into the macro environment 76% feel AI will deliver positive economic change 70% feel AI will deliver positive societal change I believe AI will deliver positive economic change I believe AI will deliver positive societal change I believe AI will bring out the best in my organization’s people The future growth of my organization is dependent upon large scale AI adoption Ethical concerns significantly stop AI being as effective as it can be We are willing to sacrifice employee satisfaction for the benefits of AI We are willing to sacrifice customer service for the benefits of AI
  • 15. Copyright © 2017 Infosys Limited Visit Infosys.com/AImaturity Thank You to find out more about the AI Maturity Index and the survey results