For starters, it is difficult to understand the language of AI, thus it is important to know it’s terminologies as well as basic functions to understand the technology.

1. AI Terminologies For Marketers

2. Artificial intelligence,
more commonly
known as AI, is
continuing to make a
big impact in popular
culture as well as
numerous industries.

3. Examples includes chatbots that acts as
customer service representatives,
personalized recommendations for customers
based on past buying history, and automated
driving machines. To say that AI is impacting
the world at large is quite an understatement.
However, marketing has been slow to adapt to
AI and realize its many benefits.

4. When you first start using AI, it might seem
like you’re speaking a different language. In a
sense, you are. That’s why it’s important to
master its terminology as well as its basic
functions. Below are terms and definitions
that everyone working with AI should take the
time to master.

5. Algorithm
The term algorithm describes a formula that
represents a relationship that exists between
two or more variables. It’s helpful to think of
algorithms as a list of instructions that include
a finite end with the purpose of producing an
output.

6. A recipe is an everyday example of a common
algorithm. Its ingredients are the inputs that
design a specific output such as an apple pie.
With AI machine learning, a computer uses
algorithms to make predictions.

7. In marketing, it creates buying suggestions
based on a consumer’s past actions to spur
him or her to buy the suggested item. For
example, a website visitor will see an ad for a
smartphone on other sites on the Internet if
he or she spends time viewing this product
online.

8. Chatbots/Bots
A bot, short for chatbot,
is a computer program
within a website or
phone application that
directly interacts with
users to assist them
with simple questions
and tasks.

9. Many companies currently use bots for
customer support, although their use in other
areas is also growing.

10. Cluster
A cluster is a group of people with common
demographics or characteristics. AI goes
through data to determine patterns and make
connections that a human might easily miss.
Marketers can use clusters to identify their
target audience, thus creating new marketing
opportunities through things the people have
in common.

11. Cognitive Science
Cognitive science combines topics such as
anthropology, linguistics, neuroscience,
philosophy, and psychology with AI. This helps
marketers understand how the human mind
functions so they can program a machine to
simulate the actions and thoughts of people.

12. Machine Learning
Machines can teach
themselves with
only minimal
programming from
humans.

13. They can sift though huge amounts of data to
pick out groupings and patterns of interest to
marketers. They can then select target
audiences and decide when to take certain
actions based on the machine’s input.

14. Deep Learning
This is a more complex version of machine
learning. It enables computers to teach
themselves with little human programming.
Marketers can use deep learning data to
predict how consumers might respond to
certain products and services.

15. Image Recognition/Computer Vision
AI makes it possible to program a computer so
it can accurately analyze an image. It searches
for image patterns to identify things that a
person might miss.

16. Natural Language Processing (NLP)
NLP makes it possible for machines to
understand spoken language, whether a
person is speaking or using text. The most
sophisticated NLP programs can interpret
speech in a variety of languages. Even more
impressive, it understands the actual spoken
words as well as their context and possible
hidden meanings.

17. Neural Networks
AI technologists have created neural networks
to mimic the human brain. For example, it can
analyze handwriting and identify people in
pictures based on deep learning and natural
language processing.

18. Semantic Analysis
Semantic analysis is a sophisticated form of
NLP that focuses on how people string words
together as well as how they understand
language in its cultural context. This could be
useful in creating blog posts and eBooks and
has the potential to replace content marketers
or human writers.

19. Supervised Learning
This type of machine learning requires human
input to function. A person inputs data into
the machine and then supervises the process
as the computer forms one or more desired
outcomes.

20. Unsupervised Learning
In contract, machines with unsupervised
learning capability require minimal or no
assistance from humans to come up with
conclusions based on patterns it has
uncovered.

21. As you can see, many of these terms overlap
and have related meaning. You should
become familiar enough with them to
understand how any one of these
technologies can affect your marketing efforts.
We are happy to answer your questions at any
time at Call Sumo and look forward to helping
your company experience explosive growth
with AI.