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Top 12 Real-World Applications of AI to Prepare You for Future


Okay, no more crying over, “I don’t have anyone to listen to me”.

How thrilled will you be, if I say, there is something which will not only listen to you but will be at your command forever?

Yes, I am talking about Artificial Intelligence (AI). The CEO of Google Sundar Pichai said AI will have an abject effect on humanity than fire, electricity, and the internet. According to the PWC’s report, by 2030 AI can contribute $15.7 trillion to the global economy. 37% of enterprises employ Al and the need for AI experts tripled between 2015 to 2019 in  IT departments. So both your’s and the world’s future is going to revolve around AI.

And, If you have no idea what AI is and what it does, you are gonna face a big-time FOMO. we are here to rescue you and you will be in owe at the end of this blog. Keep reading.

Let’s See What is AI

Artificial intelligence understands how the human mind works by leveraging computers and machines and works expeditiously to perform certain tasks. It’s definitely on the way to impersonating one of the robots from the sci-fi movies Netflix is recommending you to watch.  Even the watch list prepared for you by Netflix based on your preference is generated by AI. knowingly or unknowingly you are taking advantage of AI in every possible way. There is more on the list of how AI is helping you and the whole world in every sector. Let’s have a look at the types and 12 applications of AI.

What are the Different Types of AI?

There are 7 types of AI which are again divided as per capability and functionality.

Based on capabilities, AI is of 3 types. 

  • Narrow
  • General
  • Super

Narrow AI: 

It is also known as weak AI and it is the most common type of AI. It always performs a single specific task it has been designed for and can not exceed beyond its limitations.

General AI:

General AI is trained to perform any intellectual task just like a human mind would perform.

Super AI:

Super AI can perform a task better than the human mind. And it is still a hypothetical concept that will take time to come into action

Based on functionality, AI is divided into 4 types.

  • Reactive Machines
  • Limited Memory
  • Theory of Mind
  • Self Awareness

Reactive Machines:

These are the basic types of AI and they can not store memories for future actions.

Limited Memory:

The Limited Memory AI can store memory for a limited period of time.

Theory of Mind:

These are the AI who can socially interact like humans by understanding human emotions and beliefs.

Self Awareness:

These machines will be brilliant and will have their own consciousness, sentiments, and self-awareness. This is still a hypothetical concept.

Pro Tip: If you are a beginner we have a fully-fledged Artificial Intelligence guide for you.

Applications of AI: How Artificial Intelligence is Transforming the World?

If you ask what are the applications of Artificial Intelligence? The answer leads to thousands of applications of AI. We have listed 12 top real-world latest Artificial Intelligence applications to make you ready for the future.

Applications of AI

Application of AI: How Marketing Sectors Increasing Revenue?

Application of AI : Marketing

The most important thing for a marketer is his customers. AI makes the process of attracting prospects, lead generation, and getting the potential customer smooth. 

The applications of Artificial Intelligence in Marketing include:

  • It uses computer algorithms to collect data, analyze them, and observe audience or economic and market trends to generate automated decisions.
  • It helps predict what future actions can be profitable to the marketer which can help in curating content for marketing campaigns.
  • AI can generate targeted ads, deep learning, content curation, product recommendation, and personalized customer experience through chatbots. Chatbots are showing rapid growth than any other communication channel, with a 92% increase in usage between 2019 and 2020.

AWS announced general accessibility to Amazon Personalize in June 2019. This can help the developers build applications using the same machine learning Amazon uses which can assist in developing applications having to get real-time personalized recommendations without having any prior experience of machine learning. Some other examples are Sephora chatbots, Chase improved its copywriting using machine learning which helped bring humanity in their marketing.

Pro Tip: As AI is spearheading marketing and giant brands like AWS and Google are adopting AI, The career opportunity is ample. If you are looking for a learning path, we have curated one, specifically for you

Application of AI: How AI is Helping in Health Care?

AI is Helping in Health Care

Applications of Artificial Intelligence in the Health sector are blessings. AI helps in health care in numerous ways to enhance the performance of the health care providers by assisting them in delivering care to the patients. It also helps in diagnosing diseases and creating brain-computer interfaces. 

  • The Brain-computer interfaces backed by AI can restore the fundamental abilities like speaking, moving, and interacting of the patient who suffered from neurological diseases.
  • AI can be used in creating radiology tools that can give detailed results.
  • AI helps in virtual biopsies which examine image-based algorithms to detect the tumor. 
  • AI also helps in drug development.

The use of healthcare apps has influenced people to lead a healthy app. Report says that the IoT healthcare market will reach $136.8 billion worldwide by 2021.

Application of AI: AI is Minimizing Toil In Agriculture Sector

AI In Agriculture Sector

AI helps in agriculture by taking over the traditional methods of farming which include more labour. 

Applications of Artificial Intelligence help

  • Decide the best time to sow
  • Predict crop yield and price
  • Intelligent spraying
  • Disease diagnosis
  • Soil and crop health monitoring
  • Weather forecasting
  • Automatic harvesting
  • Keeping the field safe from animal attacks.
  • Wipro says AI systems are enhancing overall harvest quality and production with maximum accuracy which is called precision agriculture.
  • The application of Artificial Intelligence technology helps in detecting disease in plants, pests, and poor nutrition of farms. AI sensors can detect and target weed and the required amount of herbicide.
  • computer vision and artificial intelligence monitor and precisely spray herbicides on weeds. This helps in cost-saving and minimum wastage.
  • AI can also Analyze market demand to advise the profitable crop to farmers.

A German-based tech start-up PEAT has developed an AI-based application that is helping Indian farmers to grow a healthy crop. Nova Scotia-based start-up SkySquirrel Technologies use drones to capture data from the farm. Microsoft is currently working with 175 farmers in Andhra Pradesh to provide advisory assistance. This initiative has already resulted in a 30% higher average yield per hectare last year.

Global spending on AI agriculture is predicted to triple in revenue by 2025, reaching $15.3 billion.

Application of AI: How AI is Handling Automobiles?

AI is Handling Automobiles

AI is definitely making progress in understanding automotive features to make our driving experience safer, more comfortable, and more entertaining

  • Currently, the application of Artificial Intelligence is in every facet of automotive manufacturing, including speeding up design, supply chain, production, and post-production to enhance quality.
  • AI is utilized in driver assistance and driver risk assessment systems, which is making the transportation process tranquil and improving the passenger experience.
  • It also helps in After-sales services such as predictive maintenance and automotive insurance.

Hyundai introduced AI-powered wearable robots, OTTO Motors introduced an AI-powered material handling system. Tesla introduced autopilot capability in 2015 and has been revolutionizing since then. Waymo started an autonomous taxi service in Arizona, the US in 2018. Baidu introduced self-driving cars in 2019 for public trials in China.

Worldwide net additions of self-driving care will reach 745,705 units by 2023, up from 137,129 units in 2018. The global autonomous car market will reach a size of over 37 billion U.S. dollars in 2023.

Application of AI: Banks are incorporating AI for Quick Response

AI in Banks

Banking sectors are exploiting AI technology well to provide error-free and fast banking services. A lot of banks have already adopted AI-based systems and transformed digitally to provide customer support, detect aberration, and credit card frauds.

  • Banks are increasing the application of Artificial Intelligence to detect and prevent fraudulent transactions through machine learning.
  • Robotic Process Automation (RPA) software that imitates rules-based digital tasks performed by humans, is being interpreted to get precise error-free data entry in banking sectors.
  • Chatbots are helping customers efficiently.

HDFC’s Electronic virtual assistant,  EVA, built by Bengaluru-based Senseforth AI Research, helps customers 24/7 to solve queries. Eva has already answered more than 5 million queries from around a million customers, with more than 85

Application of AI: How is The Entertainment Industry Leveraging AI to Reach More Audience?


Image source:

The entertainment world has welcomed AI with open arms to make audio and visual content personalized and interactive.

AI applications in the entertainment industry include:

  • Producing High-quality content
  • Online advertisement
  • Personalization of content
  • Subtitle generation
  • Metadata tagging
  • Search engine
  • Use of AR and VR
  • AI uses demographics and viewers' past experiences to recommend songs or movies as per the viewer’s preference.
  • It also adjusts the quality of the video depending on the network strength of a particular area.
  • As the internet is deluged with plenty of content produced every minute, making them searchable is not a hurdle anymore with meta-tagging using AI video intelligence devices.
  • AI applications help with Search Engine Optimization to provide relevant content.

OTT platforms like Netflix, Amazon Prime, and music applications like Spotify are ruling the entertainment world utilizing AI.

Application of AI: Helping Build Nation’s Future Through Education

AI in Education

AI is making its ground in the education sector. With the pandemic, the trend of online classes has been executed everywhere and students are preferring additional resources to add value to their education. AI is making the education system more result-oriented by helping both teachers and students in various ways.

Where is AI used in the Education Sector?

  • Personalized learning
  • Differentiated and individual learning
  • Quick Responses
  • 24/7 access
  • Assistance
  • Automation
  • Smart content
  • AI can adapt to each student’s level of knowledge, speed of learning, and desired goals to help them get personalized learning experiences.
  • AI tutors and chatbots are helping students to get additional aid in their studies.
  • AI can prepare answers to the most commonly asked questions to help teachers.
  • AI-backed tools are available all the time for a student to learn anytime anywhere.

IntelliMetric and Project Essay Grade use AI to automatically grade all kinds of assignments. One of the AI assistant examples is Google classroom which can check missing citations and originality of content on behalf of a teacher.

Application of AI: Helping in Space Exploration

AI in Space

Astronomy revolves around research, data, and findings. The Application of Artificial Intelligence in Astronomy is huge for the purpose of vast research.

Where is AI used in Astronomy?

  • Planet hunt
  • Gravitational-wave detecting
  • Collecting data on changing sky
  • Find Gravitational lenses

Astronomers find exoplanets by observing their orbits while they come in front of a parent star and block the light. Astronomers build a picture of minute dips in the brightness, which they can use to identify the planet’s properties, such as its mass, size, and distance from its star. One of the biggest datasets belongs to NASA’s Kepler Space Telescope.

Application of AI: Making Gaming Experience Amazing

AI: Making Gaming Experience Amazing

Artificial intelligence (AI) is used to generate responsive, adaptive, or intelligent behaviors mainly in non-player characters (NPCs) as if portrayed by a human.

Where is AI used in Gaming?

  • Gaming development and programming
  • Making game smarter
  • Making the experience real

AI uses data to create a gaming environment where characters can play and perform basic actions.

  • AI applications can drive mechanics that help the player move faster and more effectively.
  • AI  can be used to tell a dramatically engaging and satisfying story 
  • AI helps in creating eye-gazing 3D visuals
  • AI helps detect lags or any graphics glitches while testing.

Some examples of games where AI has been used dominantly to make the games visually appealing are The Division, Forza, Alien, City Conquest, etc. PUBG uses Ai to kick cheaters from the game.

Application of AI: AI Robots are Everywhere

 AI Robots

Robots were the first self-operated machines introduced to everyone. AI robots are doing immense progress to perform multiple tasks to reduce physical workload.

AI robots are progressively used in:

  • Multiple sensors in AI robots help them detect objects.
  • Machine learning helps robots differentiate shapes and sizes. 
  • Starting from handling huge carton boxes to packaging, AI robots are helping at the factories to get work done productively and flexibly. Robots are helping carry out several functions in different sectors. 
  • Companies using AI robots are Boston Dynamics, UBTECH, Dexterity, Canvas Technology, DroneSense, iRobo, Miso Robotics, Neurala, Skydio, etc.

Pro Tip: With this worldwide usage, Employers are looking vigorously for AI professionals, as well as the competition to get into the AI world is increasing.  Larger the aspirants, the tougher the interview questions. We have ready-made  Artificial Intelligence interview questions for you to save you.

Application of AI: AI Helps Stock Marketers in Prediction

AI in Stock Market

AI is building the future of the stock. According to a  study by U.K. research firm Coalition, electronic trades account for almost 45 percent of revenues in cash equities trading. Artificial intelligence and machine learning can:

  • collect unbiased information
  • data crunching
  • data classification
  • stock analysis
  • pattern recognition.

The Artificial Intelligence devices helping in Trading are

  • Kavout
  • Auquan
  • Equbot
  • Trade Ideas
  • BlackBox stocks
  • Trend spider
  • Trading technologies
  • Sigmoidal

Application of AI: Cybersecurity is dependent on AI

AI in Cybersecurity

Elie Bursztein, head of the anti-abuse research team at Google said “Before we were in a world where the more data you had, the more problems you had. Now with deep learning, the more data the better”. 

A breach control platform, Balbix uses AI-powered observations and analysis to deliver constant and real-time risk predictions, risk-based vulnerability management, and proactive control of breaches.

It helps in:

  • Detecting new threats
  • Battling bots
  • Breach risk prediction
  • Better endpoint protection

Facts and Figures:

  • Three out of four surveyed executives say that AI allows their organization to respond faster to breaches.
  • Revenue in Artificial intelligence applications in the cybersecurity market is projected to reach USD 38.2 billion by 2026 from USD 8.8 billion in 2019, at the highest CAGR of 23.3%.
  • 69% of organizations say AI is necessary to respond to cyberattacks.
  • Three out of five firms claim, using AI improves the accuracy and efficiency of cyber analysts.

Final Thought: Transform Your Life Through AI Too

From the above-mentioned data, It is clear that AI-power is gonna take over manpower. But to regulate, operate, and enhance the ability of AI, the human mind is essential. As AI is man-made, both are interdependent. 

The average salary of a highest paying Machine learning engineer job is $142,858. 133 million AI-based new jobs to be created by 2022. The demand for an AI expert is increasing with the increase in AI usage. The roles and responsibilities of AI engineers are crucial.
This is definitely the trailer, to master Artificial intelligence one needs proper resources, deep understanding, and guidance. You can learn more about the applications and How to become an AI engineer at JanBask training. Do visit now to prepare yourself for the demanding future.

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    Deepa Jalli

    Deepa, creativity fanatic, who does ample market research to create engaging and insightful content to lead our digital learners towards success in the IT & every other thriving industry.


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