The document analyzes the market attractiveness, business model maturity, and infrastructure/support impact of artificial intelligence (AI) through analysis of facts, figures, and keywords from various networks. It finds that while AI presents opportunities, there are also threats if its impact on humanity is not properly controlled. Business models need to be rethought to avoid harming humans. Major companies are developing AI but technical limitations remain around data processing and infrastructure.

1. Innovation Index
Artificial Intelligence:
what value for intelligent machines
http://weareinnovation.org
samedi 28 mai 16

2. Innovation Index
Content:
Introduction
I. Market attractiveness: Artificial Intelligence not artificial at all
a. Hard Facts Analysis: Artificial Intelligence under high scrutiny
b. Key Market Trends Impact: Artificial Intelligence well underway
c. Semantic Analysis: Artificial Intelligence is just next door
II. Business Model Maturity: The human questions behind AI business models
a. End-to-end model Analysis: A need to rethink business models
b. Strategic initiatives impact : The unknown opportunities
c. The Business Case : Still nascent revenues
III. Infrastructure and Support: AI requirements for optimization
a. Technical readiness to market: A growing influence
b. Structural readiness to market: Agility and intelligent systems in organizations
c. Legal, Social and Economic impact: Transparency and security as critical
requirements
Conclusion
samedi 28 mai 16

3. The Innovation Index analyses the market attractiveness,
business model maturity and infrastructure and support
impact of a given sector or technology. It aims at
analyzing Hadoop market attractiveness through facts,
figures and key words analysis, as collected through WAI
networks. It also evaluates infrastructure and support
impact, and estimate business model maturity to come to
a final index value. To know more, your can also browse
our Global Knowledge Library.
Innovation Index
Artificial Intelligence: what value for intelligent machines
samedi 28 mai 16

4. Market attractiveness
Artificial Intelligence not artificial at all
http://weareinnovation.org
samedi 28 mai 16

5. Innovation practitioners describe two potential
futures where Artificial Intelligence is either an
opportunity or a threat. They all agree on the fact
that AI will be part of the future, and specialists
are highlighting the need to think about the impact
we want AI to have on our lives. They also all
agree on the fact that this will all take place in a
“not so distant” future, an almost tomorrow which
is in line with the initial grade: 1.4/5.
Hard Facts Analysis
Artificial Intelligence under high scrutiny
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7. There are immediate effects that can be seen from existing
development of AI. They come in the form of worries that robots
“invade” our social and economic space, pointing to the fact that
we do not trust AI yet. Yet the opportunity is measurable. With a
high market potential combined with decreasing costs of
development, AI is seen a being a strategic opportunity for major
players already and strategies are being concretely rolled-out. We
even start to hear specialists considering how robots could protect
us. The intermediate grade reflects this market driven enthusiasm:
3.2/5.
Key Market Trends Impact
Artificial Intelligence well underway
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9. Technological advances are increasingly bringing AI closer to a
market reality. Beyond technology, a shift seems to enable
specialists to now foresee practical innovation and improvements
enabled by AI. Moreover, some experts start to describe another
potential social change that would see entrepreneurship and new
types of activities replace the jobs we leave to robots. This all has a
taste of “too good to be true” and the “high scrutiny” reflected in
the first part of this analysis balances this view. Yet the final grade
shows a high attractiveness to market: 4.1/5.
Semantic Analysis
AI is just next door
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10. samedi 28 mai 16

11. Business model maturity
The human questions behind AI business models
http://weareinnovation.org
samedi 28 mai 16

12. The spread of A.I. technologies is such that any sector or business
form can be impacted in a near future. Yet humanity remains unable
to properly control that impact, raising awareness on critical areas
that could harm humans instead of protecting them. While major
companies are involved in developing in depth research on neural
networks and ways develop AI solutions for a variety of sector and
changing business models, customers and markets increasingly
realize they need to rethink models and prepare for a cross sector
revolution that could leave part of humanity aside, if not in danger.
The initial grade for business model maturity reaches 3 out of 5.
End-to-end model Analysis
A need to rethink business models
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14. Developments are occurring at all levels of AI value-chains, showing
an on-going investment and research phase alongside already
advanced initiatives and trials. This way, benefits are clearly
outlined under productivity terms while risks keep being registered
as human-threatening. Technological advances allow experts to
foresee new market opportunities, including those which do not
exist yet and may add further unidentified risks to humanity. In
such a polarized conversation, AI appears as a fascinating science
about to disrupt our daily lives in the near future without the
certainty it will improve them in the long term but with the evidence
that many will try to make money out of it. The intermediate grade
is therefore lowered to 2.5 out of 5.
Strategic initiatives impact
The unknown opportunities
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16. The forecasted market sizes for AI components and the investment
activity around them reflect the same “uncertain enthusiasm” with
regards to solutions launched to market. Compared to IoT market
forecasts over similar periods, machine learning potential revenues
are still nascent and show that from a business planning point of
view, many other digital components will need to
generate substantial benefits to unleash AI full market potential.
The on-going investments and discussions around AI oriented
projects keep the topic on experts mind although consumer-led IoT
and Big Data topics seem to currently outrun AI discussions, leaving
them in a debate with high dependencies. The final business model
maturity grade for AI is 2 out of 5.
The Business Case
Still nascent revenues
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18. AI requirements for optimization
http://weareinnovation.org
Infrastructure
and Support
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19. Experts and analysts repeatedly outline business and end-user
benefits AI promises to deliver, showcasing tangible cases where
intelligent systems have not only reduced costs and increased
revenues, but also generated higher added value. As a result,
major Internet companies are developing concrete plans and
investments to position themselves on AI market. On the other
hand, most experts also agree there remain severe technical
shortages affecting data processing tools and infrastructure
impeding an efficient roll-out of AI services. The initial readiness to
market rate of AI therefore reaches 2.2/5.
Structural readiness
to market A growing influence
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21. It makes very few doubt AI will or already is influencing business
analytics and data analytics for product and services development.
Organizations have initiated strategic alignments with platforms,
technologies, skills and services needed to transition towards a data
intelligent business orientation. Nevertheless, the current status and
required changes tend to come across as anticipated barriers to
market which only agile businesses are in a position to overcome.
The intermediate readiness to market rate of AI therefore reaches
2.6/5.
Technical readiness
to market Agility and intelligent
systems in organizations
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23. As far as the legal, economic and environmental frameworks of AI
are concerned, experts seem concerned by the limits companies
face with regards to security and transparency. These limits aren’t
stopping businesses to invest and adapt to this new markets,
though. Startups in particular have identified new business models
and services which exploit organizations’ skills shortages.
Nevertheless, the apparent unpreparedness of businesses’ direct
and indirect conjectural frameworks remind the fragility of current
growth expectations. The final readiness to market rate of AI
therefore reaches 1.3/5.
Legal, Social and
Economic impact
Transparency and security as
critical requirements
samedi 28 mai 16

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25. Innovation Index
Conclusion
http://weareinnovation.org
samedi 28 mai 16

26. Market Business Infrastructure
Innovation practitioners describe
two potential futures where
Artificial Intelligence is either an
opportunity or a threat.
With a high market potential
combined with decreasing costs of
development, AI is seen a being
a strategic opportunity for
major players already and
strategies are being concretely
rolled-out.
Beyond technology, a shift seems
to enable specialists to now
foresee practical innovation
and improvements enabled by AI.
While major companies are
involved in developing in depth
research on neural networks and
ways develop AI solutions for a
variety of sector and changing
business models, customers and
markets increasingly realize
they need to rethink models
and prepare for a cross sector
revolution that could leave part of
humanity aside, if not in danger.
Technological advances allow
experts to foresee new market
opportunities, including those
which do not exist yet and
may add further unidentified risks
to humanity.
Compared to IoT market forecasts
over similar periods, machine
learning potential revenues are still
nascent and show that from a
business planning point of view,
many other digital
components will need to
generate substantial
benefits to unleash AI full
market potential.
As a result, major Internet
companies are developing
concrete plans and
investments to position
themselves on AI market. On
the other hand, most experts also
agree there remain severe technical
shortages affecting data processing
tools and infrastructure impeding an
efficient roll-out of AI services.
Organizations have initiated
strategic alignments with
platforms, technologies, skills and
services needed to transition
towards a data intelligent business
orientation.
Nevertheless, the apparent
unpreparedness of businesses’
direct and indirect conjectural
frameworks remind the fragility
of current growth
expectations.
Innovation Index
samedi 28 mai 16

27. 5
5 5
0
Market Attractiveness
4.1
Business Model
Maturity
Infrastructure and
Support2
1.3
Hadoop Innovation Index 5.07
19%Efficiency
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28. Read more
https://weareinnovation.org/2015/07/16/innovation-index-
artificial-intelligence-not-artificial-at-all/
https://weareinnovation.org/2015/09/04/the-human-
questions-behind-ai-business-models/
https://weareinnovation.org/2016/03/29/innovation-
index-ai-requirements-for-optimized-infrastructure-
and-support/
samedi 28 mai 16