Artificial Intelligence can help digital marketers to collect data, analyze it, apply it,
and then learn from it, AI is able to transform digital strategies. As it continues to
advance, so will the power to use it to enhance digital marketing strategies and
supply valuable customer insights for companies.
What is Artificial Intelligence?
Artificial Intelligence (AI) may be a wide-ranging branch of computing concerned with
building smart machines capable of performing tasks that typically require human
According to Venture Capitalist Frank Chen,
“Artificial Intelligence is a set of algorithms and intelligence to
try to mimic human intelligence. Machine learning is one of
them, and deep learning is one of those machine learning
Machine learning feeds a computer data and uses statistical techniques to assist it
“learn” the way to get progressively better at a task, without having been specifically
programmed for that task, eliminating the necessity for many lines of written code.
Deep learning is a type of Machine learning that runs inputs through
biologically-inspired neural network architecture. The neural networks contain a
variety of hidden layers through which the info is processed, allowing the machine to
travel “deep” in its learning, making connections and weighting input for the best
Some of the activities related to AI are highly technical and specialized, like robotics,
speech recognition, image recognition, tongue processing, problem-solving, etc.
History of Artificial Intelligence
While the roots are long and deep, the history of AI as we expect of it today spans
but a century. The following may be a quick check out a number of the foremost
important events in AI.
● In 1943, Warren McCullough and Walter Pitts published “A Logical Calculus
of Ideas Immanent in Nervous Activity.” The paper proposed the first
mathematical model for building a neural network.
● In his book, The organization of Behaviour: Neuropsychological Theory,
Donald Hebb proposes the idea that neural pathways are created from
experiences which connections between neurons become stronger the more
frequently they’re used. Hebbian learning continues to be a crucial model in
● In 1952, Arthur Samuel developed a self-learning program to play checkers.
● In 1956, the phrase AI was coined at the “Dartmouth Summer scientific
research on AI .” Led by John McCarthy, the conference, which defined the
scope and goals of AI, is widely considered to be the birth of AI as we all
know it today.
● In 1963, John McCarthy started the AI Lab at Stanford.
● In 1991, U.S. forces deployed DART, an automated logistics planning and
scheduling tool, during the Gulf War.
● In 1997, IBM’s Deep Blue beats world chess champion, Gary Kasparov
● In 2005, STANLEY, a self-driving car, won the DARPA Grand Challenge.
● In 2008, Google made breakthroughs in speech recognition and introduced
the feature in its iPhone app.
● In 2011, IBM’s Watson trounced the competition on Jeopardy!.
● In 2012, Andrew Ng, founder of the Google Brain Deep Learning project,
fed a neural network using deep learning algorithms 10 million YouTube
videos as a training set. The neural network learned to recognize a cat without
being told what a cat is, ushering in a breakthrough era for neural networks
and deep learning funding.
● In 2012, Google made the first self-driving car to pass a state driving test.
● In 2016, Google DeepMind’s AlphaGo defeated a world champion Go player
Lee Sedol. The complexity of the traditional Chinese game was seen as a
serious hurdle to clear in AI.
The relationship between AI and digital marketing
AI as a part of digital marketing is now a reality, offering a variety of advantages and options.
Even if you’ve never heard of AI or machine learning, you employ it dozens, if not hundreds, of times every day .
It’s the technology that powers Google Maps, Amazon recommendations, Netflix
recommendations, and countless other consumer technologies.
Thanks to Artificial Intelligence, it will be much easier for brands to identify which customer segments
should be added or removed from campaigns. Show their customers precisely the
products they’re likely to use. Avoid promoting certain products to customers who
return items all the time.
And, like Google Maps, AI in marketing is used to get more efficiently from point A to
point B. Even though marketing AI is in its infancy, the technology is already getting
used to form marketing more productive, more personalized, and more
How AI is transforming digital marketing?
With the power to gather data, analyze it, apply it, then react thereto, AI is
revolutionizing digital marketing. As the amount of data on potential consumers grows, AI will become more important thanks to its ability to form data-based decisions quickly and accurately. Here are some ways AI is changing digital marketing:
1.Recognize and analyze
When CRM, AI technology, and large data technology are combined, they will
maximize the gathering of user information from different platforms, gain accurate
insights for target customers and identify users’ needs in order that companies can
determine the foremost appropriate marketing strategy.
The key is that any behavioral information will become the source of AI analysis. For
example, the sorts of products someone buys, which pages they browse, which tools
they use often, etc.
With all of this collected data, marketers can easily analyze a possible customer’s needs and
adapt the Artificial Intelligence utilized in order to spice up sales.
2. When AI combines with AR/VR
When AI technology meets the new visual technologies like AR and VR, it brings a
replacement consumption experience.
For example, Coca-Cola decided to combine AI and Augmented reality (AR) by
overlaying computer graphics over a user’s real-world view using glasses or a
headset within a number of its bottling plants. This allows technicians to receive
information about the equipment being serviced and enables them to support
technicians who are ready to see their view, making it easier for technicians in
remote locations to perform repairs and diagnose issues.
AI digital marketing in business
1.Application of AI chatbots
● · The event of Artificial Intelligence semantic recognition, language processing, and voice conversion technology has meant that AI customer service is simpler to use and delivers a far better experience. Compared with manual customer service, AI chatbots have many advantages.
2. Email Marketing
● Artificial Intelligence helps brands to personalize email marketing campaigns that supported user
behaviors, meaning marketers can send emails that are triggered by certain
actions. This enables them to deliver relevant emails to customers’ inboxes,
with subject lines, product recommendations, and messaging all being chosen
to support a customer’s behavior.
● · Ultimately, Artificial Intelligence can help email marketers reach the proper customers at the
proper time, ensuring that messaging has relevancy, engaging, and more
likely to convert. It also can allow you to analyze what sorts of messaging,
subject lines, design, and pictures get the simplest results.
3. AI Digital Advertising
● · There’s little question that digital advertising is one among the foremost
successful areas to possess adopted AI . It is used across platforms like
Facebook, Google, and Instagram in order to provide the best possible
experience. These platforms analyze users’ information, including gender,
age, interests, demographics, and other aspects to point out the foremost
relevant advertisements, improving the performance of digital ads.
4. Content Marketing
- Because of Artificial Intelligence , you’ll discover what content is best , consistent with the
behavior of targeted customers, allowing you to utilize content marketing that
gets results. Marketers can get a far better understanding of what sorts of
content work best for his or her audience , allowing them to share or create
the proper sort of content.
- Instead of creating expensive videos and other sorts of content, AI-powered
tools can assist you create them. For example, tools like FlexClip video maker
allow you to make and download high-quality videos without the necessity for
a designer or technical skills. This means that if the audience data shows that
you need to utilize videos, you’re able to do so quickly and easily.
How Can You Learn AI Digital Marketing
Whether you’re just getting started or have already got a couple of skills under your belt, you’ll never become too educated when it involves AI. Here are a few AI Training courses and certificates that will help you become more skilled in AI and take understanding to the next level.
● Google AI
Google AI aims to share AI research and knowledge, and its education courses are designed to assist develop fundamental skills. Its Learn with Google AI resource is sweet for those that are just learning to code or are already well-advanced in machine learning. It provides tools and open-source platforms like TensorFlow, a machine learning library.
This is one among the foremost subscribed courses on Coursera and covers a
spread of fundamental machine learning processes and practices. It was created by
Andrew NG, a professor at Stanford University and formerly head of Baidu AI
● Microsoft Professional Program in Artificial Intelligence
Microsofts’ introduction to AI course provides a summary of AI to find out how
machine learning provides the inspiration for AI, and the way to leverage cognitive
services to create smart apps. You will find out how to create machine learning
models with Azure Machine Learning; use Python and Microsoft cognitive services to
figure with text, speech, images, and video; and use the Microsoft Bot Framework to
implement conversational bots.
● Deep Learning Specialization with NVIDIA
Deep learning is a highly sought-out skill and a subset of machine learning in the
scope of AI. It is concerned with algorithms that are almost like the brain in structure
and performance , teaching computers to find out by example.
This deep learning specialization course by deeplearning.ai and The NVIDIA Deep
Learning Institute (DLI) was developed to teach the foundations of deep learning.
Udacity’s School of AI offers a range of specialized AI courses for subfields like
machine learning, deep learning, computer vision, and natural language processing
for people at all experience levels.
This game-changing course in 2021 will cover AI tools in content creation, curation,
augmented reality, and digital marketing
The Future of AI In Digital Marketing
According to DigiTMG, the digital advertising industry will cross Rs. 50,000 crore mark by 2025 and touch RS.58,500 crore in five years. Artificial Intelligence can create simulation models and customize the entire buying process with the assistance of suggestions from interaction with virtual assistants and other machine learning technologies.
Many brands today use Artificial Intelligence to attach with their customers to recommend products
that support their previous purchases, views, and searches. With Marketing
Automation changing the digital forefront, it’s projected that 43% of economic
earnings for 2030 will come from the commercial application of AI solutions which
will facilitate more personalized, effective, and smooth customer handling.
Whether marketers believe it or stay skeptical, the future of AI in digital marketing is brighter than ever. Artificial Intelligence and Machine learning combined will help digital marketers drive quickly towards intelligent marketing.
We are looking at a digital marketing world where marketers will be monitoring the activities executed by AI digital marketing tools and come up with better and creative ideas to serve their customers.
Artificial Intelligence will not only save money and time but most importantly, assist
humans to target customers in an intelligent manner. Using data and analytics, Artificial Intelligence
will revolutionize how digital campaigns are executed and measured.