What is Applied AI, Get All Your Answers Here!



Artificial intelligence as we know it today has taken nearly five decades to get out of the academic closet. Applied AI simply refers to the deployment of AI to solve business problems. This can happen either through automation or via augmentation of traditional processes.

In order to attain a sustainable understanding of applied AI, one must form an idea of AI itself along with the technologies that work towards its formation. And the understanding can be suitably consolidated with a historical perspective. There are 101 things that you should know about Artificial Intelligence which play a very important role.

So in simple terms, Applied AI is the special branch under AI or Artificial Intelligence that brings our products from the lab and into the real world, which makes computers and computer-controlled robots for performing various real tasks. Applied AI enhances the performance of a software application by using advanced machine learning. It also provides high levels of accuracy and adaptation which is required for contextualizing business models and industry processes and can ultimately improve the way we interact with everything around us.

History & Future Outlooks 

The journey of AI started with the top-down approach where a human-generated code leads to get some results, and then to a bottom-up approach where several sets of results lead the computer to generate some code. The bottom-up approach is in fact the foundation of modern machine learning. Deep neural networks, which imitate the nervous system, have reinforced the process of machine learning. These developments have led us to technologies like computer vision, and image classification.

AI has had a reciprocal relationship with the industry lately. Its development is directed towards solving various industry-related problems. Be it creating a well-targeted marketing campaign or reorganizing warehouses for optimal efficiency, AI has been playing a pivotal part.

Technologies Developed under Applied AI

Numerous technologies have been developed by using the power of Applied AI which led to the solutions to solve various business-related problems. Some of the notable technologies we use are as follows:

    • Computer Vision
    • Machine Learning
    • Deep Learning Platforms
    • Natural Language Processing
    • Marketing Automation

Brief details regarding some of the technologies developed by Applied AI are as follows.

Computer Vision

Computer Vision is a special form of something which we simply know as the Machine Vision. The concept behind the Machine Vision is to enable machines to see the world around them the way we humans see it. So in technical terms “Computer Vision is a scientific field under AI which deals with how computers can gain high-level understanding from digital images or videos.” To turn this idea into reality and to capture the world through computer hardware and then turning the captured images into a form in which computers can comprehend, process, and finally utilize them to come up with meaningful outcomes.

Therefore, in simple terms, Computer Vision means processing the images which can be used to analyze the captured images. In present times, both these terms have become interchangeable and that is why Computer Vision or Machine Vision is the technology through which we all work with Images.

Whenever we explore the field of Artificial intelligence, we perform the various tasks where Computer Vision for Deep Learning methods especially the Convolutional Neural Networks. There are also various other Machine Learning methods that are used especially in solving Image Classification problems such as using Support Vector Machines for solving binary Image Classification problems.

Computer Vision Technology is also predominantly used in Medical Image Analysis for identifying possible diseases and the presence of certain microorganisms in the blood. Facial Recognition techniques are used by many companies around the world as a substitute for a traditional attendance marking mechanism. The Authentication of Signature which is normally used by Banks and the technology behind the Self Driving car all is the result of using effective Computer Vision Technologies.

Machine Learning

Artificial Intelligence is a product of Machine and Deep Learning. Whenever we say the term Machine Learning, it means the technology of using the Machine Learning aspects in memorizing, constant improvement, remembering past behavior, and adaptation to new scenarios. Computer Vision which predominantly uses the Machine Learning modules to operate.

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Real-Life Application of Machine Learning

The real-life applications of Machine Learning include areas where the past behavior of people or any other subject is used to predict the future of them or similar subjects.

    • For instance, Banks and various financial institutions use Machine Learning technology to predict if a particular person will be able to repay the loan on time or not, Machine Learning technology uses several algorithms to identify the patterns among the historical customers and their eventual repayment of the loan to predict if a particular person will be able to repay the loan based on his or her past credentials.
    • Another example would be studying the associations between the products that people buy. If a person buys a product, he will be shown similar products because there is a relation between the two products.
    • Machine learning also has various uses in speech recognition, for example, a software application can recognize the words spoken in an audio clip or file, and then subsequently convert the audio into a text file.
    • Like for the case of Speech Recognition, Image Recognition is also another example of effective Machine Learning uses. Face recognition or Face lock technology uses technology which most of us use with our mobile phones.
    • Finally, Machine Learning can predict the disease progression which can be later used for therapy planning and patient monitoring.

As the patterns of the population changes over time, so does the method of predictions also need to be remodeled. Machine Learning uses various parts of Applied AI such as algorithms and Linear Regression, Logistic Regression, K Nearest Neighbor, Support Vector Machines, and so on are used to make the machine learn from the data presented to it. Deep Learning methods also use the Machine Learning technology to create the Artificial Neural Network.

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Natural Language Processing

One of the most technologies that were developed by using Applied AI technology is Natural Language Processing or simply known as NLP. Just like Computer Vision which uses a camera to perform analog to digital conversions and processing of images, in the case of Natural Language Processing it deals with text to convert characters to numbers which can be used to represent that particular text meaningfully.

Uses of Applied AI

Applied AI and its technologies are used in various ways. Some of the uses are as follows.

Rapid decision-making: Applied AI helps the machine to perform human-like judgments which can be useful for reducing errors and for predicting better outcomes. It is helpful for achieving end-to-end process automation which ultimately enhances the smart device ecosystems.

Computer with a human touch: Applied AI technology bridges the gap between computer and human beings by limiting the impact of model error, social ethics, and human bias in the process.

Efficiency: Applied AI tends to improve efficiency throughput, which is helpful for saving time as well as money.

Automation: Applied AI helps to free up employees from various manual processes by using the power of automation.

Increasing revenue: Finally, Applied AI increases profitability by identifying and solving complex business problems by using complex machine learning technology and adaptive capabilities.

Companies who use AI in real life? 

Some of the big companies that use AI technology in real life are as follows.


Amazon uses AI technology for providing various services such as product recommendation, customer support, price modification based on location, and so on.


Popular streaming service provider Netflix also uses the Applied AI technology for show recommendation, user need prediction and showing the service recommendations based on that and so on.


As we already know that AI technology is already being used in Facebook for friend recommendations and chats. Facebook also uses effective AI technologies to filter out spam and poor-quality content. Recently, Facebook is also researching the Computer Vision technology which will be able to read an image to the visually impaired people.

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Twitter’s AI technology evaluates each tweet in real-time and scores them according to various metrics. Twitter’s machine learning tech makes those decisions based on the individual preferences, to provide algorithmically curated feeds to the users.


Our last example is Google, which uses AI in all their services. whether you are using Google Search or watching videos on YouTube. AI is everywhere and it is being used to provide ads based on personal recommendations and search history. We get to see recommended videos based on our watch list and so on. Recently, Google is researching various next level AI technologies such as Google Deepmind Network, natural language processing, speech translation and so on.

This detailed blog post on Applied AI affords an understanding of different aspects of AI and their application to solving problems. It has some important tips in an offer for the aspirants.

We hope you found this what is applied AI article informative and helpful and please do not hesitate to contact us for any doubts or queries. You can also download our Testbook App, which is free, and start preparing for various government exams by taking the mock tests before the examination to get an extra edge.

Applied AI FAQs

Q.1 What do you mean by Applied AI?
Applied AI is the special branch under AI or Artificial Intelligence that brings our products from the lab and into the real world, which makes the computers and computer-controlled robots for performing various real tasks.

Q.2 What is the history and future scope for Applied AI?
Various Historical insights and future outlooks are given above in the article. Kindly go through the article for the same.

Q.3 What are the uses of Applied AI?
Various uses of Applied AI are mentioned above in the article. Kindly go through the article for the same.

Q.4 What are the notable technologies that are developed by using Applied AI?
Computer Vision, Machine Learning, and Natural Language Processing are some of the notable technologies that are developed by using Applied AI

Q.5 What do you mean by Computer Vision?
Computer Vision means processing the images which can be used to analyze the captured images. Read the above article to know more about it.

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