Applications of AI – Real Life Use Cases in Different Sectors

AI Applications – Artificial Intelligence in real world! 

You must be aware of how AI is revolutionizing the way we live and get things done. It learns, reasons and does self-correction. Since it has become a master with its applications, we, in this article will understand that how it is advancing dramatically.

Starting with the identifying pattern, it has made data more efficient. In today’s time, to gain more insight out of the data, businesses have changed a lot in the course of time. Humongous data is getting analyzed to map poverty and climate change. The automation in agricultural practices and irrigation is happening at a fast pace. How can I forget the healthcare sector and predictions of consumption patterns, streamline energy-usage and waste-management?

It all started with knowledge reasoning:

  • Planning
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Robotics
  • Artificial General Intelligence

Following the reasoning process, humans were able to land themselves into something artificial. This intelligence is the simulation of human intelligence processes which is done by machines, especially computer systems. These processes include learning, reasoning, and self-correction. Its applications consist of expert systems, speech recognition, and machine vision. Artificial Intelligence is advancing dramatically. It is already transforming our world socially, economically and politically.

Before moving ahead, you must learn the Pros and Cons of AI

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Applications of AI

Here are the applications of AI in various sectors:

applications of ai

1. Artificial Intelligence in Healthcare

This is the most important thing that humans need in today’s generation. Health is wealth, and the rate at which humans are compromising on it is really shocking.

With AI, natural language is a boon. It helps to respond to the questions that are asked for. It enables workflow assistants which help the doctors to free up their schedules and also reduce the time and cost by streamlining processes. They also open new avenues for the industry. With that, AI-powered technology helps pathologists in analyzing samples of tissue and help the diagnosis to be more accurate.

  1. It helps to support decision making and research.
  2. Help to integrate activities in medical, software and cognitive sciences.
  3. Help to offer a content-rich discipline for the future scientific medical communities.

2. Artificial Intelligence in Business

A business heavily relies on real-time reporting, accuracy, and processing of large volumes of quantitative data to make crucial decisions. With this efficiency and effectiveness of a business, it is quickly able to implement machine learning. The adaptive intelligence, chatbots, automation helps to smoothen out the business process.

Let’s take an example of the Help Desk. AI there is used in online help centers. If you’ve visited a website, you must have seen that the chat window pops up. You can then ask questions there directly and they revert to your problem or query in no time.

This happens with the help of robotic process automation. This thus reduces the repetitive tasks that are normally performed by humans. The algorithms are integrated into analytics and CRM (Customer relationship management) platforms, that uncover information on how to better serve the customers.

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3. Artificial Intelligence in Education

Checking made easy:

It must be very tedious for a teacher to grade homework and tests for large lecture courses. A significant amount of time is consumed to interact with students, to prepare for class, or work on professional development. But, this will not be the case anymore.

Though it can never replace human work, it is pretty close to it. So, with the automated grading system checking multiple-choice questions, fill-in-the-blank testing and automated grading of students can be done in a jiffy.

It can tell the areas, where there is a need for improvement –

A lot of times, it happens that the teachers may not be aware of the gaps that a student might face in the lectures and educational materials. This can leave students confused about certain concepts. With AI, the system alerts the teacher and tell what is wrong. It gives students a customized message which offers hints to the correct answer.

This thus helps to fill in the gaps in explanation that might occur in courses. It also ensures that students are building the same conceptual foundation.

Any queries in the AI applications till now? Mention them in the comment section.

4. Artificial Intelligence in Autonomous Vehicles

Long-range radar, cameras, and LIDAR, a lot of advancement has been made in the autonomous vehicle segment. These technologies are used in different capacities and each of them collects different pieces of information. The information is of no use unless it is processed and any form of insights can’t be derived.

This is where artificial intelligence is used and where it can be compared to the human brain. Some of its usage in autonomous vehicles are:

  • Directing the car to the gas station or recharge station when it is running low on fuel.
  • Adjust the trip’s directions based on known traffic conditions to find the quickest route.
  • Incorporate speech recognition for advanced communication with passengers.
  • Natural language interfaces and virtual assistance technologies.

5. Artificial Intelligence in Social Media

Instagram, Snapchat, Facebook, Twitter, the world today is changing and everyone is using these social media apps to stay connected with the virtual world. But, are you aware of the fact that a majority of your decisions are being influenced by artificial intelligence.

Starting from notifications, to upgradations, everything is curated by AI. It considers all the past web searches, behaviors, interactions, and much more. So, while you visit these websites, your data is being stored and analyzed and thus you are served with a personalized experience.

6. Artificial Intelligence for a Better World

Many people say that technology is snatching away their jobs and with the machine, there is no need for humans. But, do you know that it is these machines that are making the world a better place to live in.

It is this AI, that is helping us to prevent future damage. It understands the needs and addresses developmental needs while focusing on sustainability.

Do you know that companies like Microsoft are using AI to study land-use patterns with terrain maps? By understanding these patterns in-depth, better decisions related to land are taken. This is helping in implementing proper preservation techniques. Scientists are using the information obtained to preserve biodiversity and the ecosystem.

Time to find out the answer to the question – Is Artificial Intelligence dangerous?

7. Artificial Intelligence in Tourism

Travel around with AI. Right time! Right Price!

Competition in the travel and tourism industry is very high. You must have seen that prices keep on fluctuating and change often.

You might have also booked a flight ticket in advance or have waited just before the departure date to find cheaper tickets. Everyone does that, but the struggle is minimized with AI.

With predictive analytics driven by artificial intelligence, the price can be predicted. The application is able to predict price patterns and alert travelers when to buy the tickets. So, the cheapest rate can be known before you book the flights to your destination.

The price trend is analyzed on the basis of the recorded data on each route. So, you get notifications of when to book your flight. Book it at the right time and at the right price and say thanks to artificial intelligence.

Types of Artificial Intelligence

Now, in the applications of AI article, we will discuss the types of artificial intelligence. This vast is classified in several ways and will help you to get better clarity.

1. Weak AI

Weak AI is also known as narrow AI. It is an AI system that is designed and trained for a specific type of task. For example – Siri and Alexa are weak AI. This categorization happens with the help of unsupervised programming.

It is because they already have programmed responses and therefore they classify things accordingly. So, observe carefully when you ask Alexa to play a song. The algorithm will respond by playing a song, but it is only responding to its programming.

2. Strong AI

Strong AI is more like the human brain and is also known as artificial general intelligence. It has cognitive abilities that help to perform unfamiliar tasks and commands. It can find the solution to a problem and works beyond a preprogrammed algorithm.

Visual perception, speech recognition, decision making, and translations between languages, are all examples of strong AI.

Further, Artificial Intelligence is categorized into four types based on functionality, and these are as follows:

1. Reactive Machines

Reactive machines use past experiences to determine future actions. They don’t refer to past experiences, and cannot improve with practice. Reactive machines simply perceive the world and react to it. They have no memory and cannot use past experiences to inform future ones.

2. Limited Memory

Limited memory machines retain data for a short period of time and use data for a specific period of time. They cannot add it to a library of their experiences. Their decision-making functions are generally used in autonomous vehicles. Like a lot of self-driving cars use Limited Memory technology and store data such as the recent speed of nearby cars, the distance of such cars, the speed limit, and other information that can help them navigate roads.

3. Theory of Mind

Theory of mind is all about imitating the mental models, that is, the human brain. It forms representations about the world, starting from thoughts, emotions, memories. This kind of artificial intelligence is the future and doesn’t exist as of now.

Want to know, what’s more in the box of AI? Check the Future of Artificial Intelligence

4. Self-awareness

Self-awareness in machines is when they understand the current state and can use the information to infer what others are feeling. This type of AI does not yet exist but will be there in the near future.

Summary

This was all in the applications of AI article. There is no second thought in saying that in the future, predictive analytics and artificial intelligence will play an even more fundamental role in content creation and also in the software fields. With the open-source information and artificial intelligence, opportunities across the globe are present. The global technological parity and the technology of artificial can become the future in all the domains of health, environment, public safety, and security.

Now, you must check – How AI is transforming Mobile Technology

Any feedback for the AI applications article? Share your views in the comments.

3 Responses

  1. Atulya says:

    I want to learn AI thru online course of dataflair. Plzz guide me

    • Data Flair says:

      Hi Atulya
      We don’t have AI online course. But you will take help of our published AI tutorials. This will guide you equivalently that you won’t feel the need for online course. Start learning with the AI series published on Data Flair.

  2. Girish says:

    I think in future AI will the boss

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