1.
ARTIFICIAL INTELLIGENCE
Disruption by machine based intelligence
1

2.
Economic Impact
Benefits & Risks Of Artificial Intelligence
2

3.
Changing the Nature of work
AI is still a subject of much speculation, and it’s
unknown how quickly we may develop human-
level AI, but experts agree that AI will have
significant widespread repercussions and could
eventually change the nature of work as we
know it
Compiled by author from source: blog.marketresearch.com Image Source: Google Images
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4.
Planning For AI
June 2016: Weber Shandwick, one of worlds
leading PR firms, reported that 68% of CMO’s
state their company is planning for business in
the AI era
55% of CMO’s expect AI to have a greater
impact on marketing and communication than
social media
A shift in the decision-
making process takes as
much change in humans as
it does in technology
Compiled by author from source: ama.org Image Source: Google Images
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5.
Impacting
Marketing & Sales
Bots working as
virtual assistants
will help sales
update the CRM
ML will improve sales and
marketing software, giving
it the ability to do things
without being told
Automatically
routing sales
leads, based on
analysis of the
data about the
lead and the sales
people
In the next few years we
are going to have self-
directed, self-driving,
marketing automation
Compiled by author from source: forbes.com
5

6.
Use In Retail & Service
Dominos Robotic Unit: DRU robotic delivery of food could be a growing
within the next decade
Amazon Drones: Autonomous delivery of goods and food by air could be
rolled out within the next decade
Softbank: Robots used in customer service in 140 SoftBank mobile stores
Amazon Go: Sensors track objects that customers put in their basket,
accounts are automatically charged after exiting the store
Compiled by author from source: techemergence.com
6
Logistics & Delivery
Sales & CRM Software
Payment Services

7.
Virtual Assistants
Mobile search queries
performed via virtual assistants
will grow from 20% to 50% by
the end of 2017
Screenless devices i.e. Echo will
be in more than 10 million
homes by year-end 2017 and
account for a growing share of
commercial traffic
2020: Virtual agents will
participate in most commercial
interactions between people
and businesses
In 2017, marketers will
collectively spend more than
$250M on virtual agents
and other "conversational
technologies
Compiled by author from source: cio.com Image Source: Google Images
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8.
Robotics
Currently used
in the
automotive
industry:
Welding
Cutting
Color Coating
Polishing
Robotics has
evolved as one of
the most promising
AI technology in
recent times
Compiled by author from source: prnewswire.com Image Source: Google Images
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9.
Integration Of Marketing & CRM
There is an expectation by 2025, there
will be wide adoption of ML/AI, as the
existing CRM players build in and offer
these features and the independent
players increase their market share Creating
efficiencies
in:
Targeting
Contacting Segmenting
Converting
Compiled by author from source: marketingprofs.com
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10.
Turning Data Into
Stories
Creates automated integrated narratives,
customizable and sharable
Uses advanced NLG to transform data into
interactive narratives that update in real-time
Automatically transforms data and visualizations
into narratives
Analyzes large amounts of data, creates rich
visualizations that can be read, understood and
published
Top BI platforms are
leveraging Natural
Language
Generation
Compiled by author from source: inthecrowds.wordpress.com
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11.
AI Writing
Programs
Quarterly
Earnings
Reports
Sports
Matches
Market Data
AI writers are useful for
reporting on regular,
data-focused events
Compiled by author from source: smartinsights.com Image Source: Google Images
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12.
NLP To Identify
Fake News
Who posted this tweet?
Is the account verified?
Does the tweet contain links and images?
What is the tone of the tweet
Is it more opinion or facts based?
Is it an ad?
What common topic threads connect this tweet to
others?
Are others confirming this information?
Reuters employs a proprietary
algorithm that uses over 700
signals to determine whether
trending tweets are newsworthy
and truthful, it then generates a
short summary
Compiled by author from source: blogs.thomsonreuters.com
12

13.
ML Fighting Fake News
With such a massive influx of live:
Opinions
Images
Videos
Facts
Fiction
Ask key questions
Consult historical
data
Weigh relevance
Compiled by author from source: blogs.thomsonreuters.com
13
All within 40 milliseconds
Cut through the chatter with a
social media listening tool

14.
Recommendation
Engines
How did Amazon know you'd
like that book?
Cart value gets lifted
Users are presented with the
highest-converting data-
marketing messaging
Recommendation engines
have the highest profit
potential
In five years they have the
potential to precede search as
a leading indicator of what a
customer really wants to
purchase
Compiled by author from source: marketingprofs.com Image Source: Google Images
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15.
AI In Healthcare
AI platforms applied to genomics
can search a variety of public
health databases and find
heterogeneous factors
The goal is to develop drugs that
target each specific population
Such diagnostics, therapeutics,
etc. are opening doors for truly
personalized medicine in the
decades ahead
Mount Sinai Hospital set up a computer
program known as Deep Patient, which
analyzes patient records to better predict
disease
Deep Patient can anticipate the onset of
schizophrenia surprisingly well, a psychiatric
disorder that is very challenging for doctors
to predict
Compiled by author from source: blog.marketresearch.com-techemergence.com
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16.
How Will AI Impact The Workforce
45%
40%
4%
11%
Percent of CMO’s 2016
AI will require workers with vastly different skills
AI will result in reduction in overall number of jobs
AI will result in an increase in the overall number
of jobs
AI will have no impact on our workforce or
number of jobs
Compiled by author from source: webershandwick.com
16

17.
Reducing Human Roles
Technology is allowing fast food
companies to make it faster and
cheaper by reducing the role of
human employees
This reduces labor cost and
provides companies with more data
about their customers from
trackable, digital touch-points
Companies will
push people to
order via:
Apps
Chat bots
Voice
recognition
Kiosks
Compiled by author from source: techemergence.com
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18.
Loss of Jobs
Stephen Hawking expressed concerns
that AI will gut middle class jobs and
quicken economic inequality
Although AI will boost productivity, this may
come at a significant cost
A report by the White House under the Obama
administration predicts that AI will likely
eliminate millions of jobs
Particularly for workers earning less than $20
per hour and without a high school diploma
Compiled by author from source: blog.marketresearch.com Image Source: Google Images
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19.
Marketers Will Rely
On AI
The performance of AI-based
algorithms improves when they are:
Reviewed
Sanitized
Operationalized
By real, live
humans
Marketing will need to rely
on the input and efficiency
machine-driven AI
applications can provide
across all cycles of the
customer journey
Compiled by author from source: hugeinc.com
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20.
Commoditization Of Services
One impact of AI adoption is that it will transform many
important services in commodities
In 5 years, many major cities in the world will have
autonomous vehicles transporting people around at almost
no cost
Last-mile delivery, long-range transportation, and logistics
in general has already started that transformation
Compiled by author from source: techemergence.com
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21.
Expansion Of Services
In the next 20 years,
adaption of AI
systems at scale
seem poised to
transform
• The Home
• Healthcare
• Education
Sectors
This gives the potential to empower
disadvantaged communities by improving
delivery of solutions and expanding access
Small developers can leverage the same AI
infrastructures used by big players
Many have announced they will be opening
up their infrastructures to startups
Compiled by author from source: techemergence.com
21

22.
CONTACT US FOR THE FULL
PRESENTATION:
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Clearwater, Fl. 33760
T: 727 538 4112
E: contact@mcusa.co
www.mediacontactusa.com

23.
Sources Cited
• Allen, Robert. "15 Applications of Artificial Intelligence in Marketing Digital Marketing Advice." Smart Insights. N.p., 2 May 2017.
Web. 30 May 2017. <http://www.smartinsights.com/managing-digital-marketing/marketing-innovation/15-applications-artificial-
intelligence-marketing/>.
• "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>.
• Aull, Anisa. "50 Most Important Marketing Charts for 2017." Percolate. Percolate, n.d. Web. 11 July 2017
file:///C:/Users/Monika%20Somogyi/Downloads/50%20Marketing%20Charts%20for%202017.pdf
• Conick, Hal. "The Past, Present and Future of AI in Marketing." American Marketing Association. N.p., 29 Dec. 2016. Web.
3 May 2017. <https://www.ama.org/publications/MarketingNews/Pages/past-present-future-ai-marketing.aspx>.
• Faggella, Daniel. "Artificial Intelligence in Retail – 10 Present and Future Use Cases -." TechEmergence.com. N.p., 2 May 2017. Web.
26 June 2017. <https://www.techemergence.com/artificial-intelligence-retail-10-present-future-use-cases/>.
• Faggella, Daniel. "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 Turns "fake News" on Twitter into Old News." Thomson Reuters. N.p., 27 Mar. 2017. Web. 16 June 2017.
<https://blogs.thomsonreuters.com/answerson/machine-learning-fake-news-twitter/>.

24.
Sources Cited
• Marcom, CT. "Narrative Science | In the Crowds." In the Crowds | What Works & What Doesn't in Advertising & Marketing.
N.p., 3 July 2012. Web. 7 June 2017. <https://inthecrowds.wordpress.com/tag/narrative-science/>.
• Martin, James. "10 Things Marketers Need to Know About AI." CIO. N.p., 13 Feb. 2017. Web. 12 June 2017.
<http://www.cio.com/article/3168727/artificial-intelligence/10-things-marketers-need-to-know-about-ai.html>.
• Press, Gil. "Artificial intelligence (AI) And the Future of Marketing: 6 Observations From Inbound 2016." New Tech. Forbes,
21 Nov. 2016. Web. 3 May 2017. <https://www.forbes.com/sites/gilpress/2016/11/21/artificial-intelligence-ai-and-the-
future-of-marketing-6-observations-from-inbound-2016/2/#313bf7dd4139>.
• Prommer, Thomas. "A Starter Guide to AI in Marketing." HUGEINC. N.p., 21 Dec. 2016. Web. 9 June 2017.
<http://www.hugeinc.com/ideas/perspective/a-starter-guide-to-ai-in-marketing>.
• 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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• Walker, Jon. "Fast Food Robots, Kiosks, and AI Use Cases from 6 Restaurant Chain Giants -." TechEmergence.com. N.p.,
1 June 2017. Web. 7 June 2017. <https://www.techemergence.com/fast-food-robots-kiosks-and-ai-use-cases/>.