The AI renaissance is here. Organizations are using artificial intelligence to stay ahead of the market--unlocking new digital intelligence from large volumes of data. And a key strategy for many of these organizations making inroads with AI initiatives is to let their developers lead the charge.

1. The cognitive advantage
for developers
Leading the charge on innovation with artificial intelligence
https://www.ibm.com/watson/advantage-reports/market-report.html

2. The AI renaissance is here. Organizations are using artificial intelligence to stay
ahead of the market--unlocking new digital intelligence from large volumes of
data.
The AI market is now on an exponential growth curve, expected to grow from $2.5
billion in 2014 to more than $12.5 billion by 2019.1 By 2018, over 50% of developer
teams will embed AI services in their apps,2 and it is expected that half of all
consumers will interact with the technology on a regular basis.
To understand how early adopters are taking advantage of AI, we garnered
insights from more than 600 decision makers worldwide, cross-industry, from IT
to line of business, at various stages of cognitive adoption.
We learned that organizations already gain major competitive advantage from
their use of AI. They achieve a range of business outcomes–from customer
engagement to productivity and efficiency and business growth. And a key
strategy for many of these organizations making inroads with AI initiatives is to let
their developers lead the charge.

3. Developers are at the front lines of AI innovation. They play a
prominent role in AI decision making and implementation in
their organizations
Major 35%
Major 60%
Influential 65%
Influential 40%
Non-Developers
Developers
Major 52%
Major 78%
Small
43%
Small
22%
Non-Developers
Developers
Role in organization's AI implementation
Role in organization’s AI decision making

4. Developers have greater visibility into what their organizations
are doing with AI and are able to shepherd these initiatives
from planning to reality
91%
of developers report their org has
already adopted one or more AI
capabilities
30%
of non-developers report their org
is planning to implement AI, but is
not yet in the adoption stage

5. of developers say adopting AI
is very important to their
organization’s strategy & success
(vs. 61% of non-developers)
75%
70%
of developers say outcomes
from AI initiatives exceed their
expectations
(vs. 57% of non-developers)

6. Developers believe in the ability of AI to deliver major
competitive advantage to their organizations. They
overwhelmingly see it as a key differentiator
64%of developers
43%of non-developers
report their org
is gaining major
competitive
advantage
from AI

7. External customer demand
Developer experimentation
Business user experimentation
62%
60%
59%
For developers, AI adoption is motivated by customer
demand and experimentation

8. Ø IT automation 59%
Ø Business process automation 57%
Ø Product & service innovation 57%
Ø Cloud management 56%
Ø Personalized advice & recommendations 55%
Ø Intelligent virtual assistants 55%
% of developers reporting their organization
uses AI for this scenario
Developers report using AI across the organization,
prioritizing automation and product & service innovation

9. Developers report higher use of AI capabilities and they are
especially attentive to emerging areas of AI opportunity
20%
32%
24%
33%
34%
38%
41%
40%
42%
44%
46%
53%
57%
59%
Intelligent robotics
Machine learning
Social and emotional (affective) computing
Natural language processing (NLP)
Knowledge representation and reasoning
Pattern recognition capability
Automated scheduling and planning
% reporting capability is being used in their organization
Developers Non-Developers

10. Developers are
more likely than non-developers to use
intelligent robotics
83%
100%
more likely to forge ahead with applications
of social and emotional computing
Developers are

11. Developers report their organizations are achieving outcomes
with AI--customer engagement, productivity & efficiency, and
business growth
Ø Personalized customer/user experience 59%
Ø Improved customer service 58%
Ø Improved security & compliance,
reduced risk
56%
Ø Improved productivity & efficiency 54%
Ø Improved decision making & planning 52%
% of developers reporting their organization is achieving with AI

12. Top AI adoption challenges for developers include
the cost of technology and security concerns
66% 60%
Security concerns
59%
Immature technologies and
tools
Cost of technologies /
solution development
57% 57% 54%
Insufficient skills Lack of support / executive
buy-in
Data issues

13. Cloud-based services are preferred to access
and use cognitive capabilities, and developers are even
stronger proponents
68%of developers favor
cloud-based services
over non-cloud
(vs. 48% of non-developers)

14. Developers are big believers in using open source technology
to support their cognitive initiatives
74%of developers expect to
make heavy use of open
source technology
(vs. 46% of non-developers)

15. An ecosystem of experts, including technology and consulting companies,
helps organizations with AI initiatives
15
Developers are more likely to enlist certain ecosystem partners
to help with AI activities
To provide /
build product
components
To influence
IT directions /
decisions
To train staff
Consulting
Companies
External
Developers
Developer
Communities
Industry
Analysts Clients Academia
Technology
Companies
1.4x
1.4x
1.5x
1.3x 1.6x
1.4x
1.8x
1.7x
1.4x
1.5x
Note: Other partnerships are on par with non-developers

16. 72%
28%
Respondents
16
In this study, artificial intelligence / cognitive computing refers to computer-based, intelligent technologies that analyze
data and interpret information to generate hypotheses, formulate possible answers to questions, or provide
recommendations and predictions. These technologies learn and reason as a result of their interactions.
A closer look at developers:
To better understand how developers are AI / cognitive
computing and to uncover differences in perspective
from their non-developer counterparts, we conducted
a developer vs. non-developer analysis
Early AI adopters
Developers | 28% of respondents
Spend more than 10 hours per week
writing software code
Non-developers | 72% of
respondents
Cognitive decision makers:
To understand how organizations are capitalizing on AI /
cognitive computing and to uncover emerging patterns
of adoption, we surveyed more than 600 AI / cognitive
decision makers worldwide, from IT to line of business,
at various stages of adoption.
About the study:
Early AI adopters
Advanced users | 22% of
respondents
Using 2 or more AI technologies for more
than a year
Beginners | 54% of respondents
Using AI technologies for less than a year or
using 1 technology for more than a year
Planners | 24% of respondents
Planning to adopt AI technologies within 2
years
54%
24%
22%

17. Principal Analysts:
Susanne Hupfer: Susanne_Hupfer@us.ibm.com | Cynthya Peranandam: cynthya@us.ibm.com
Endnotes:
1) http://www.researchandmarkets.com/research/q5jbvw/cognitive
2) http://www.forbes.com/sites/ibm/2015/09/28/watson-uses-cognitive-computing-to-improve-peoples-lives/
ibm.com/cognitive/advantage-reports
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