3. Paving The Growth
Of The AI Market
The evolution of various other supplementary
technologies are paving the growth of the AI
market such as:
Cloud
Computing
Machine
Learning
Cognitive
Computing
Once considered a
topic for intellectuals
only
With development of
various technologies, AI has
turned into reality and is
influencing many lives and
businesses
3
Compiled by author from source: prnewswire.com
5. Machine Learning
A subfield of AI
(ML) = Building
systems that can learn
from experience
5
The science of getting computers to learn
and improve over time in autonomous
fashion, by feeding them data and
information in the form of observations
and real-world interactions
Most AI work now involves ML
because intelligent behavior
requires considerable knowledge,
and learning is the easiest way to
get that knowledge
Compiled by author from source: marketingprofs.com Image Source: Google Images
6. Why Is (ML) So
Important?
Quickly and
automatically produce
models that can
analyze bigger,
complex data
Giving more
accurate
By building precise
models, a company
can better identify
profitable
opportunities
Avoiding
unknown risks
Addresses:
Growing volumes and varieties
of data
Computational processing that
is cheaper and more powerful
Affordable data storage
6
Compiled by author from source: sas.com
7. Who’s Using (ML)?
Financial
Services
Identify
important
insights in
data, prevent
fraud
Health Care
Identify trends
that may lead to
improved
diagnoses and
treatment
Marketing
Capture data,
analyze,
personalize
Oil & Gas
Streamlining
distribution,
making it
efficient and
cost-effective
Transportation
Making routes
more efficient
and predicting
problems
7
Compiled by author from source: sas.com Image Source: Google Images
8. Deep Learning
(DL) = Allows the
system to build
complex concepts out
of simpler concepts
8
Compiled by author from source: marketingprofs.com
Deep learning is
a subset of ML
It uses some ML
techniques to
solve real-world
problems
Taps into neural
networks that
simulate human
decision-making
Deep learning
can be
expensive, and
requires massive
datasets to train
itself on
9. Deep Learning
Vehicle, pedestrian and landmark
identification for driver assistance
Image recognition
Speech recognition and translation
Natural language processing
Life sciences
Used in research to solve many
big data problems such as
computer vision, speech
recognition, and natural
language processing
Practical examples include:
9
Compiled by author from source: developer.nvidia.com
10. Natural Language
Processing
(NLP) = Building
systems that can
understand language
10
Compiled by author from source: marketingprofs.com Image Source: Google Images
NLP is a
component of
artificial
intelligence
The ability of a
computer
program to
understand
human speech
11. Natural Language
Processing
This will include various
applications:
Smartphones
Navigation systems
Car-infotainment
systems
Personal assistants
Computers usually
require humans to
“speak” in a precise,
clear-cut and highly
structured programming
language
11
Expected to
increase at the
highest rate in
the next five
years
Compiled by author from source: marketingprofs.com
12. AI As Core Component
Predictive analytics
Automated laboratories
Factories
Unmanned vehicles
12
Online
communication
Digital
content
Commerce
AI will become a core
component of:
It will be used
extensively in:
Compiled by author from source: blog.marketresearch.com
13. Areas Of
Expansion
Create custom learning
profiles for students and
enhance teaching
approach
Used for diffusing bombs,
moving equipment in
dangerous zones, and
surveillance and recon
missions
In the future, it will be used
to reduce workloads,
increase patient safety, and
minimize costs
Education
Defense Sector
Medicine
13
Compiled by author from source: blog.marketresearch.com Image Source: Google Images
14. Augmented Reality
Used to enhance
our environment
14
(AR) is a growing field,
with many diverse
applications ranging from:
TV
Film production
Industrial
maintenance
Medicine
Education
Entertainment
and gaming
Compiled by author from source: marketsandmarkets.com Image Source: Google Images
15. CONTACT US FOR THE FULL
PRESENTATION:
Mediacontact USA Inc.
13575 58TH Street North #160
Clearwater, Fl. 33760
T: 727 538 4112
E: contact@mcusa.co
www.mediacontactusa.com
16. Sources Cited
• "Artificial Intelligence Market - Impact of $16 Billion by 2022 in Semiconductor Industry." PR Newswire: Press Release
Distribution, Targeting, Monitoring and. Marketsandmarkets, 15 Feb. 2017. Web. 18 May 2017.
<http://www.prnewswire.com/news-releases/artificial-intelligence-market---impact-of-16-billion-by-2022-in-
semiconductor-industry-613843073.html>.
• "Deep Learning Market by Application (Image Recognition, Signal Recognition - 2022 | MarketsandMarkets." Market
Research Reports, Marketing Research Company, Business Research by MarketsandMarkets. N.p., Nov. 2016. Web.
18 May 2017. <http://www.marketsandmarkets.com/Market-Reports/deep-learning-market-107369271.html>.
• "Deep Learning." NVIDIA Developer. N.p., 2017. Web. 23 May 2017. <https://developer.nvidia.com/deep-learning>.
17. Sources Cited
• "The Marketing Impact of AI & Machine-Learning: 3 Predictions." MarketingProfs. N.p., 17 May 2017. Web. 17 May 2017.
<https://www.marketingprofs.com/articles/2017/32097/the-marketing-impact-of-ai-and-machine-learning-3-predictions-
by-51-ml-marketing-executives?adref=nlt051617>.
• "Machine Learning: What It is and Why It Matters | SAS." Analytics, Business Intelligence and Data Management | SAS.
N.p., n.d. Web. 23 May 2017. <https://www.sas.com/en_us/insights/analytics/machine-learning.html#>.
• Schmidt, Sarah. "Artificial Intelligence Market Forecast, Plus Top Companies." Market Research Blog. N.p., 1 May 2017.
Web. 17 May 2017. <http://blog.marketresearch.com/artificial-intelligence-market-forecast-plus-top-
companies?utm_campaign=Blog%20Subscription&utm_source=hs_email&utm_medium=email&utm_content=51366130&
_hsenc=p2ANqtz-_yuNuD1RHeU0nWqBy3UfzhqXoXFLKQl8JkQ4QocAvYFzDsqOIfTis-LXtG_Z-
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