Artificial intelligence applications

Artificial intelligence applications - Table of Content

• What is Artificial Intelligence
• Top 16 Applications of Artificial Intelligence
• Types of Artificial Intelligence
• Conclusion

What is Artificial Intelligence?

Artificial intelligence uses different approaches to make intelligent machines using intelligent programs to think like humans and mimic their behaviors. It makes them get human behaviors like problem-solving, learning, e.t.c. It uses ideas like machine learning and deep learning to achieve results. One of the main goals of having artificial intelligence is to ensure that the machines have human intelligence superiority. Many fields use artificial intelligence to achieve different results.

Top 16 Applications of Artificial Intelligence

There are many applications of artificial intelligence. You can use artificial intelligence in many sectors. Some of the applications of artificial intelligence include:

1. AI in Marketing

Some of the applications of artificial intelligence in marketing include:

We use artificial intelligence to provide recommendations to customers based on their past behavior. It helps in customizing the marketing campaigns to meet their needs.

It helps train chatbots using Natural Processing Processing and Generation to help them understand the user's language and respond to them when helping them solve problems.

It helps marketing teams in content marketing to match the brand's content and voice by writing campaign reports, doing routine jobs like performance, e.t.c.

It helps retarget and personalize ads using the user's behavior and pattern recognition. Retargeting enables companies to get better results due to increased sales and eliminating cases like distrust.

2. AI in Healthcare

Some of the applications of AI in healthcare include:

It helps in the creation of drugs, i.e., the candidate drugs.

It helps in predicting the outcome of surgical procedures.

It helps medication management.

It helps in the analysis of heart sounds.

3. AI in Banking and Finance

There are many types of finance, AI supports all of them. The finance institutions use AI to detect card fraud by examining the transaction history. It can also help the institutions during the loan application process by assigning loans after analyzing all the risks. AI can also provide messages to the customers to inform them about the services they need.

4. AI in Social Media

The social media platforms from Instagram, Facebook, and Twitter use AI to provide recommendations to the user. For example, Instagram uses AI  under the explore tab to show the users which account they follow based on different factors. Twitter uses AI to detect spam accounts, bad content, and harmful propaganda and recommend new tweets to users according to their browsing behavior. Facebook uses AI to translate posts from one language to another.

        Become an Artificial Intelligence Certified professional by learning this HKR  Artificial Intelligence Training

Artificial Intelligence Training

Master Your Craft

Lifetime LMS & Faculty Access

24/7 online expert support

Real-world & Project Based Learning

Explore Curriculum

5. AI in Education

Many education institutions have embraced artificial intelligence in their activities to increase productivity. We use artificial intelligence in the education sector as follows. The applications include:

Education institutions use voice assistants to help teachers and lecturers to give students extra work like assignments. It eliminates the use of expensive costs in printing learning resources.

It also creates personalized messages to the learners, helps in the marking and assigning of marks, enrolment of students, courses registration,e.t.c.

It also helps create educational content like lectures, videos, and guides. e.t.c. It uses animations and other methods for different levels of education. It improves the learning experience of the students.

6. AI in Agriculture

Farmers use artificial intelligence to find if their soil lacks nutrients and check for other defects. Ai uses technologies like computer vision and machine learning to achieve the results. AI can also check how the weeds grow on the farm and how you can eliminate them. Farmers can also deploy AI during the harvesting period to fasten the speed and quantity that gets harvested.

7. AI in Space Exploration

We use artificial intelligence in astronomy. It helps scientists to perform different functions like discovery, forecasting,regression,clustering,registration,e.t.c. when working on different scientific insights. Some insights include studying solar activities, checking signals under gravitational wave astronomy, exoplanets,e.t.c. They also perform some activities in space like missions,spacecrafts, debris avoidance, e.t.c.

You can also use AI to find artificially generated electromagnetic waves in the data. Examples include Galileo project ,SkyCAM-5, e.t.c.

8. AI in Human Resources

Many companies have deployed machine learning to help in the hiring processes by checking the candidate's profiles and scanning their resumes to ensure they meet what the recruiters want.

9. AI in E-commerce

There are many uses of artificial intelligence in e-commerce. They include:

It helps in the creation of recommendation engines. It improves engagement between the customers. The recommendations come from the buying and browsing history, interests, e.t.c. It improves relationships between the customers.

It helps prevent fraud by detecting fake reviews and rampant credit card fraud. Removing fake reviews makes the customers remain with real reviews making their purchase.

They provide virtual assistants which communicate with customers to improve user experience. They also improve engagement by communicating with your customers as humans due to the use of natural processing.

10. AI in Navigation

Many companies and applications use GPS technology. AI improves accuracy and provides more information during their usage to improve their safety. For example, inroads it can help you detect lanes reducing obstruction. It makes use of Graph and Convolutional neural networks.

11. AI in Gaming

We use artificial intelligence to create nonplayer characters that compete with other players. AI also helps in the detection of player behavior during the game design process and in finding ways of how to improve it. 

12. AI in Automobiles

Artificial intelligence helps in providing virtual assistance to vehicles to improve their performance. Examples include using Tesla Bot under the Tesla Car, which works as a virtual assistant.

Subscribe to our YouTube channel to get new updates..!

Subscribe

13. AI in Robotics

We use artificial intelligence to build robots in different fields like keeping inventories, cleaning, office management, carrying goods in different fields, e.t.c.

14. AI in Surveillance 

AI can improve security by providing video surveillance by using different softwares. AI analyzes the cameras' audio and images to find traces of human beings, objects, and events.

15. AI in Autonomous vehicle

There are many changes in the car-making industries. Artificial intelligence helps in the building of self-driving cars. They work well with GPS, control signals, cameras, e.t.c. They improve the driving experience from braking, steering, monitoring,e.t.c.

16. AI in Chatbots

Many companies use chatbots to respond to queries raised by customers. They play an important role in customer service. They use machine learning and natural language in training the models. They help solve customer questions, and their support goes on 24/7, improving customer satisfaction. Some chatbots contain databases of queries that enable them to pull any query if asked by the customers.

Types of Artificial Intelligence

There are several types of artificial intelligence. This include: 

Reactive machines

It uses most of the AI principles and the intelligence it has to perceive and react to the world it has access to. When making decisions, it does not rely on past experiences as it lacks memory. To make it more reliable, you narrow down its worldview and will make the stimuli work perfectly. You can also design it to perform repeatable tasks and deal with complex issues. Examples include AlphaGo by Google and Deepblue by IBM.

Limited Memory

It relies on the data stored in the memory when making its predictions. It may also look at past experiences. It is more complex and works better than reactive machines. Most teams use machine learning models to train the data on how it will work. Common machine learning models include reinforcement learning, Evolutionary generative adversarial networks, and Long-term memory. The data storage occurs for a limited time only. Examples include self-driving cars.

Theory of Mind

This type of intelligence makes one learn the behavior of living things like emotions and thoughts. It is more theoretical and has not yet reached the advanced stages. The main aim of this intelligence is to copy the behaviors of human beings, animals, and machines like feelings and use them to make decisions. They will have to create a relationship between human beings and machines to ensure that the physiological concepts get covered when there are any changes in emotions. 

Self Awareness

It enables the systems to have representations that concern them. It makes the machines understand all the consciousness, which is more of self-awareness. It makes them understand their internal states and be able to make predictions according to their feelings. Before achieving self-awareness, many theories and factors like memory, making decisions based on past experiences and learning. There are many advancements that researchers are focusing on, but self-awareness is still theoretical, and it doesn’t exist at all.

Conclusion

Artificial intelligence is critical to many sectors. It has changed how companies and individuals solve complex issues. Many people consider AI as disruptive, and you can enroll at HKR trainings to learn more about artificial intelligence. It involves mastering different skills for you to have the end result.

Related articles

• ai solutions
• artificial intelligence vs data science
• artificial intelligence vs machine learning
• Advantages & Disadvantages of Artificial Intelligence