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ARTIFICIAL INTELLIGENCE
Disruption by machine based intelligence
1
Intelligent Systems
Covers
Everything
From:
Chess-playing
programs
Siri
Spam filters
(AI) = Building systems
that can do intelligent
things
2
Any task performed by a
computer that would
normally require human
intelligence
Compiled by author from source: marketingprofs.com
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
Artificial
Intelligence
These
Include:
Language
Translation
Image
Recognition
Voice
Recognition
Machine
Learning
AI performs cognitive
functions that mimic the
way the brain works
4
Compiled by author from source: blog.marketreserch.com Image Source: Google Images
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
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
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
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
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
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
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
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
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
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
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
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>.
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-
dMlwFLZ0tjef3MeOChkKwI48yqSKvZg&_hsmi=51366130>.

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Artificial Intelligence: Disruption by Machine part 1 of 3

  • 1. ARTIFICIAL INTELLIGENCE Disruption by machine based intelligence 1
  • 2. Intelligent Systems Covers Everything From: Chess-playing programs Siri Spam filters (AI) = Building systems that can do intelligent things 2 Any task performed by a computer that would normally require human intelligence Compiled by author from source: marketingprofs.com
  • 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
  • 4. Artificial Intelligence These Include: Language Translation Image Recognition Voice Recognition Machine Learning AI performs cognitive functions that mimic the way the brain works 4 Compiled by author from source: blog.marketreserch.com Image Source: Google Images
  • 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- dMlwFLZ0tjef3MeOChkKwI48yqSKvZg&_hsmi=51366130>.

Editor's Notes

  • #3: https://www.marketingprofs.com/articles/2017/32097/the-marketing-impact-of-ai-and-machine-learning-3-predictions-by-51-ml-marketing-executives?adref=nlt051617
  • #4: http://www.prnewswire.com/news-releases/artificial-intelligence-market---impact-of-16-B-by-2022-in-semiconductor-industry-613843073.html
  • #5: 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-dMlwFLZ0tjef3MeOChkKwI48yqSKvZg&_hsmi=51366130
  • #6: https://www.marketingprofs.com/articles/2017/32097/the-marketing-impact-of-ai-and-machine-learning-3-predictions-by-51-ml-marketing-executives?adref=nlt051617
  • #7: https://www.sas.com/en_us/insights/analytics/machine-learning.html#
  • #8: https://www.sas.com/en_us/insights/analytics/machine-learning.html#
  • #9: https://www.marketingprofs.com/articles/2017/32097/the-marketing-impact-of-ai-and-machine-learning-3-predictions-by-51-ml-marketing-executives?adref=nlt051617
  • #10: https://developer.nvidia.com/deep-learning
  • #11: https://www.marketingprofs.com/articles/2017/32097/the-marketing-impact-of-ai-and-machine-learning-3-predictions-by-51-ml-marketing-executives?adref=nlt051617
  • #12: https://www.marketingprofs.com/articles/2017/32097/the-marketing-impact-of-ai-and-machine-learning-3-predictions-by-51-ml-marketing-executives?adref=nlt051617
  • #13: 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-dMlwFLZ0tjef3MeOChkKwI48yqSKvZg&_hsmi=51366130
  • #14: 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-dMlwFLZ0tjef3MeOChkKwI48yqSKvZg&_hsmi=51366130
  • #15: http://www.marketsandmarkets.com/Market-Reports/deep-learning-market-107369271.html