The Role Of Artificial Intelligence In Digital Marketing[Complete Guide]

The Role Of Artificial Intelligence In Digital Marketing[Complete Guide]

Written by Deepak Bhagat, In Artificial Intelligence, Marketing, Updated On
January 11th, 2023

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 intelligence.

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 techniques.

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 results.

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 Learning

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 AI.
  • 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 1958, John McCarthy developed the AI programming language Lisp and published the paper “Programs with Common Sense.”
  • 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

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 AI, 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 performance-driven.

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 AI 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 AI 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

  • AI helps brands to personalize email marketing campaigns 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, AI 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 AI, 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.

How Can You Learn AI Digital Marketing

Whether you’re just getting started learning the fundamentals of Artificial Intelligence 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.

● Coursera

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 Group/Google Brain.

● 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 and The NVIDIA Deep Learning Institute (DLI) was developed to teach the foundations of deep learning.

● Udemy

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. AI 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 AI 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. AI and ML 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.

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