Artificial Intelligence (AI) provides marketers with deep knowledge of consumer, clients and delivers the right message to the right person at the right time. Here are more depth information how AC affects on Marketing.

1. AI and Marketing: Robot-proofing
Your Job

2. New technologies that use artificial
intelligence (AI) are appearing at a rapid rate
in everyday life. Siri by Apple or Alexa by
Amazon, two well-known voice-recognition
programs, are just one example of this.
Another is the image recognition employed by
both Google and Facebook. Most people in
developed nations use one of these
applications daily, which is why AI has gained
such acceptance and momentum.

3. Understanding AI and Why It Has
Become So Popular
The association for the Advancement of Artificial
Intelligence describes it as the ability to employ
scientific understanding to understanding human
intellect and thought and ascribing these
characteristics to machines. In 2016, the World
Economic Forum chose AI as one of the top 10
emerging technologies of the year. It earned this
distinction for its ability to transform industries
and improve the daily lives of people across the
globe.

4. Big data has improved many applications by
combining the power of AI with social awareness
algorithms and natural language processing
(NLP). It is because of the success of these
developments that investors have paid more
attention to AI in the past several years. In 2011,
they invested $145 million in the industry. Just
four years later, that number jumped to $681
million according to a research study conducted
by CB Insights.

5. Obviously, AI applications look different among
the various industries and sectors. This not only
reflects user preferences, but the differing states
of AI implementation and research as well.
Examples of AI across various industries include:

6. • Autonomous cars by Google
• Roomba by iRobot
• daVinci Surgical System by Intuitive
• Ozobot
• Credit card fraud
• Crime management

7. The Affect of AI on Marketing
Most Amazon shoppers have had the experience
of viewing product recommendations based on
past purchases and items they have viewed.
Chatbots and virtual personal assistants are two
other prime examples of AI in action in the
marketing world. AI enables marketers to pull
insights from structured data as well as
unstructured data. It gives brands the power they
need to produce personalized and more
meaningful interactions with their customers.

8. Last year, 80 percent of marketers responding to
a survey conducted by Demandbase indicated
that they feel AI will have a
revolutionary effect on marketing by 2020.
Those responding represented companies with
250 or more employees.

9. They feel the main benefit of AI in a marketing
capacity will be improving the experience of the
customer. Other benefits that they foresee
include the following:

10. While initially slow to embrace AI, marketing as
an industry has come to realize its many benefits.
According to marketing analyst Scott Brinker, over
3,800 marketing technology vendors listed
themselves in over 40 categories at the beginning
of 2016. In 2014, this number was 974 vendors.

11. It has now become an expected outcome to apply
AI in marketing by using data science, natural
language processing (NLP), and predictive
analysis. Software using AI has become an
essential marketing tool, especially when
considering the huge amounts of data the
industry produces daily. It provides the
opportunity to discover actionable insights as
well as champion improvements like data mining,
NLP, data analytics, and data science.

12. Predictive marketing, defined as a new form of
discipline taking its roots from mathematics,
marketing, data science, and big data, has turned
the customer journey into more of a scientific
process. It does this by recognizing data patterns
and forming a predictive analysis. This enables
marketers to identify new and ideal customers as
well as those who are most likely to make a
purchase. It also allows them to discover the best
ways to engage with the customer and the proper
channel, message, and segment to use.

13. AI Powered by Engagement
Marketing
By utilizing predictive analysis and data science,
marketers can make customers the right offer
with the right product and content at the ideal
time. When combined with AI technology,
predictive marketing allows marketers to
complete these tasks in real time.

14. By using AI and engagement marketing, a
business shows itself as an industry leader. This is
due to the nearly six times conversion rate of the
marketing funnel compared to companies that
don’t use AI.

15. Humans don’t have the capacity to choose
among multiple assets across dozens of channels
for every prospect, but machines powered with
AI do. That is because AI enables the machines to
use complicated computations to optimize the
experience for each customer. This results in
prospects who feel more engaged with the
content and feel a deeper sense of trust with the
brand.

16. Marketers that can process big data on scale have
a competitive advantage because today’s buyer is
a sophisticated one. Marketing teams can stay
ahead by obtaining actionable insights from the
huge amount of customer data available to them.

17. How You Can Have Job Security in the
Age of Robots
Should marketing professionals feel concerned
about their job security if AI can complete some
tasks better than they can? Yes and no. The fast
shift from industrial knowledge to knowledge
gained through an information-based program,
along with the current digital economy, presents
some challenges for jobs based on skill. According
to a Forrester report on the future of jobs,
software and physical robots will take over all
marketing tasks as early as 2019.

18. However, it’s not time for marketing professionals
to panic. They simply must convert their job into
one of high value and creativity. Having an open
mind toward AI implementation helps in this
goal. It allows marketers to lead new
technologies in transforming how business and
the larger society works. Following are four
specific ways that marketers can stay ahead of
the changes.

19. Don’t Fear Implementing AI
Technology
As marketers, it’s part of everyday life to come up
with new ways to improve outcomes. That means
it’s important to devise solutions and responses
beyond what people already know. Staying ahead
means welcoming all technological changes in an
organization. This includes integrating AI into
existing technology or finding ways to use it to
improve the customer experience.

20. The nature of technology demands professionals
with a high degree of technical skill and
management capability to handle changing
situations and to think outside the box in terms
of solutions. These are uniquely human attributes
that AI can’t replicate. Besides remaining open to
change, today’s marketers should make a point to
be the one affecting change.

21. Utilize Data to Create Business
Insights
Today’s world is a data-driven one that requires
marketers to transform huge amounts of data
into actionable concepts and insights.

22. By utilizing predictive marketing, they can improve
their ability to compute and think as well as figure
out the deeper significance of what the data and
model expressed. When people experience
information overload, they need you to take a critical
view towards what is most important and present
them with only that.

23. Humans program AI models and machines in a
static manner based on their own perception of
reality. That means people have an advantage
when it comes to making crucial decisions and
creating models based on unique human insight.
However, it’s important to remain aware that a
model can only create insights based on the
quality of the data we input. That makes testing
and calibrating data an ongoing activity.

24. Content Must Be Highly Engaging
AI models can’t currently automate human
feelings, and this may never be possible. Human
marketers have the advantage here because they
can reasonably assess the emotions, attitudes,
and general preferences of their audience. By
using predictive analysis, marketers can manage
content more effectively because it allows them
to provide the most relevant recommendations
to their audience.

25. Marketers also need to create content based on
the quality and quantity of data they collect.
Additionally, new channels and types of media
require marketers to improve their creativity.
They can combine the human ability to perceive
reality and feel with greater creative skills to
engage their customers at a deeper level.

26. Work Together Across Different
Cultures and Disciplines
Today’s world is an integrated one. To succeed,
marketers must be willing to collaborate with
companies in other industries or even other parts of
the world. Fortunately, technology makes it possible
to communicate wherever you happen to be.

27. For example, customer engagement requires a
multi-channel approach regarding channels and
content as well as creating various customer
personas from different industry sectors. AI
models are limited in their approach and thinking
towards marketing goals. It’s up to marketers to
develop in-depth expertise in technology and to
supplement it with a greater understanding of
disciplines such as cultural settings and data
science.

28. Socioeconomic and demographic factors, along
with technology, continually drives change across
the world. Learning new skills is the only way to
stay ahead. This means learning more about AI
and its possible impact as it continues to change
current models and practices.

29. Predictive marketing, data science, and analytics
are all essential components of AI. It’s safe to
assume that new technologies will emerge to
replace them soon enough. Part of being a data-
driven marketer is remaining open to change and
embracing opportunities to lead by example.