Top 20 Applications of Artificial Intelligence (AI) in 2024

Imagine a world where machines can learn, think, and act like humans, transforming everything from healthcare to entertainment. This isn’t science fiction; it’s the reality of Artificial Intelligence (AI), a rapidly evolving field with the potential to revolutionize our lives in ways we can only begin to imagine.

But what exactly is AI? Simply put, it’s the science and engineering of creating intelligent machines capable of tasks typically associated with human intelligence. This doesn’t necessarily mean robots taking over the world (although that’s a popular trope), but rather machines learning from data, adapting to new situations, and making decisions – tasks that were once thought to be exclusively human.

What is Artificial Intelligence?

Artificial Intelligence is the practice of transforming digital computers into working robots (physical & non-physical) activities. They are designed in such a way that they can perform any dedicated tasks and also take decisions based on the provided inputs. The reason behind its hype around the world today is its act of working and thinking like a human being. 

Besides this, Artificial Intelligence is a branch of computer science that was introduced with the idea to make things simpler and automotive which humans can’t (in most cases). The algorithm fits in artificial intelligence to learn from the provided data so that future predictions can be made for effective business.

To read more about artificial intelligence, refer to this link: What is AI (Artificial Intelligence)?

Why Artificial Intelligence is Required Today?

Artificial Intelligence has the capability to change the way we’re living today and can have a good impact on our lives. Let’s look at some of the living examples that have already been adopted by humans today:

• Advanced Healthcare
• Analysis & Visualization
• Predictions
• NLP
• Personalization

From doing critical operations, to offering enhanced voice assistance, to predicting critical information (such as weather), to projecting tailored graphs & charts to offering personalized recommendations (e-commerce, OTT, etc.), and much more. Today we’re surrounded by it and sooner it is going to be everywhere around us. Now, let’s check out the 20 best Artificial Intelligence applications in 2024.

Top 20 Applications of Artificial Intelligence (AI) in 2024

AI finds extensive applications across various sectors, including E-commerce, Education, Robotics, Healthcare, and Social Media. In this list, we highlight the top 20 AI applications, providing examples for each.”

1. Artificial Intelligence in E-Commerce

Artificial Intelligence is widely used in the field of E-commerce as it helps the organization to establish a good engagement between the user and the company. Artificial Intelligence helps to make appropriate suggestions and recommendations as per the user search history and view preferences. There are also AI chatbots that are used to provide customer support instantly and help to reduce complaints and queries to a great extent. Let’s take a closer look at AI applications in E-commerce.

• Personalization: Using this feature, customers would be able to see those products based on their interest pattern and that eventually will drive more conversions.
• Enhanced Support: It’s very important to attend to every customer’s query to reduce the churn ratio and to empower that AI-powered chatbots are well capable of handling most of the queries that too 24×7
• Dynamic Pricing Structure: It’s a smart way of fluctuating the price of any given product by analyzing data from different sources and based on which price prediction is being done.
• Fake Review Detection: A report suggested that 9 out of 10 people tend to go through customer reviews first before they actually place any order. 
• Voice Search: With the introduction of this feature, many applications and websites are using voice-over searches in their system. Today, 6 out of 10 prefer to use this feature for online shopping. In addition to this, alone in the USA, the market growth has risen up to 400% in just 2 years, i.e. from 4.6 USD Billion to 20 USD Billion.

2. AI in Education Purpose

Educational sectors are totally organized and managed by human involvement till some years back. But these days, the educational sector is also coming under the influence of Artificial Intelligence. It helps the faculty as well as the students by making course recommendations, Analysing some data and some decisions about the student, etc. Making automated messages to the students, and parents regarding any vacation, and test results are done by Artificial Intelligence these days. Let’s take a closer look at AI applications in Education.

• Voice Assistant: With the help of AI algorithms, this feature can be used in multiple and broad ways to save time. provide convenience, and can assist users as and when required.
• Gamification: This feature has enabled e-learning companies to design attractive game modes into their system so that kids can learn in a super fun way. This will not only make kids engage while learning but will also ensure that they are catching the concepts and all thanks to AI for that.
• Smart Content Creation: AI uses algorithms to detect, predict and design content & provide valuable insights based on the user’s interest which can include videos, audio, infographics, etc. Following this, with the introduction of AR/VR technologies, e-learning companies are likely to start creating games (for learning), and video content for the best experience. 

3. Artificial Intelligence in Robotics

Artificial Intelligence is one of the major technologies that provide the robotics field with a boost to increase their efficiency. AI provides robots to make decisions in real time and increase productivity. For example, suppose there is a warehouse in which robots are used to manage good packages. The robots are only designed to deliver the task but Artificial Intelligence makes them able to analyze the vacant space and make the best decision in real-time. Let’s take a closer look at AI applications in Robotics.

• NLP: Natural Language Processing plays a vital role in robotics to interpret the command as a human being instructs. This enables AI algorithms & techniques such as sentimental analysis, syntactic parsing, etc.
• Object Recognition & Manipulation: This functionality enables robots to detect objects within the perimeter and this technique also helps robots to understand the size & shape of that particular object. Besides this, this technique has two units, one is to identify the object & the other one refers to the physical interaction with the object.
• HRI: With the help of AI algorithms, HRI or Human-Robotics Interaction is being developed that helps in understanding human patterns such as gestures, expressions, etc. This technique helps maximize the performance of robots and ensures that it reaches and maintains its accuracy.

4. GPS and Navigations

GPS technology uses Artificial Intelligence to make the best route and provide the best available route to the users for traveling. This is also suggested by research provided by the MIT Institute that AI is able to provide accurate, timely, and real-time information about any specific location. It helps the user to choose their type of lane and roads which increases the safety features of a user. GPS and navigation use the convolutional and graph neural network of Artificial Intelligence to provide these suggestions. Let’s take a closer look at AI applications in GPS & Navigation.

• Voice Assistance: This feature allows users to interact with the AI using a hands-free feature & which allows them to drive seamlessly while communicating through the navigation system.
• Personalization (Intelligent Routing): The personalized system gets active based on the user’s pattern & behavior of preferred routes. Irrespective of the time & duration, the GPS will always provide suggestions based on multiple patterns & analyses.  
• Traffic Prediction: AI uses a Linear Regression algorithm that helps in preparing and analyzing the traffic data. This clearly helps an individual in saving time and alternate routes are provided based on congestion ahead of the user.
• Positioning & Planning: GPS & Navigation requires enhance support of AI for better positioning & planning to avoid unwanted traffic zones. To help with this, AI-based techniques are being used such as Kalman, Sensor fusion, etc. Besides this, AI also uses prediction methods to analyze the fastest & efficient route to surface the real-time data. 

5. Healthcare

Artificial Intelligence is widely used in the field of healthcare and medicine. The various algorithms of Artificial Intelligence are used to build precise machines that are able to detect minor diseases inside the human body. Also, Artificial Intelligence uses the medical history and current situation of a particular human being to predict future diseases. Artificial Intelligence is also used to find the current vacant beds in the hospitals of a city that saves the time of patients who are in emergency conditions. Let’s take a closer look at AI applications in Healthcare.

• Insights & Analysis: With the help of AI, a collection of large datasets, that includes clinical data, research studies, and public health data, to identify trends and patterns. This inversely provides aid in surveillance and public health planning.
• Telehealth: This feature enables doctors and healthcare experts to take close monitoring while analyzing data to prevent any uncertain health issues. Patients who are at high risk and require intensive care are likely to get benefitted from this AI-powered feature.
• Patient Monitoring: In case of any abnormal activity and alarming alerts during the care of patients, an AI system is being used for early intervention. Besides this, RPM, or Remote Patient Monitoring has been significantly growing & is expected to go up by USD 6 Billion by 2025, to treat and monitor patients. 
• Surgical Assistance: To ensure a streamlined procedure guided by the AI algorithms, it helps surgeons to take effective decisions based on the provided insights to make sure that no further risks are involved in this while processing.

6. Automobiles

Artificial Intelligence is bringing revolutionary changes in the field of automobiles. From speedometers to self-driving cars, Artificial Intelligence is really doing a significant difference in these sectors. AI is sued to detect the traffic on the street and provide the best route out o the present all routes to the driver. It uses sensors, GPS technology, and control signals to bring the vehicle the best path. Let’s take a closer look at AI applications in Automobiles.

• ADAS: Advanced Driving Assistance System or ADAS is an AI algorithm that is known for processing some of major and sensitive data that includes driving assistance, crash detection, parking assistance, and so on. The algorithm has been designed in such a way that it automatically starts alarming to prevent any collisions.
• Traffic Management: With the help of AI systems, now it has become easier to analyze traffic data from various sources, including vehicles, sensors, and cameras. This feature helps in boosting driving assistance by offering alternate routes. This AI algorithm has been designed in such a way that it is well capable of assisting users with real-time traffic insight and by offering the fastest route as an alternative to users to save time efficiently.
• Emission Reduction: This feature detects and learns patterns from the given inputs i.e. from the driving pattern of the user and based on this it strategizes to perform efficient driving patterns by reducing emissions. This algorithm is well capable of analyzing routes, traffic, car performance patterns, and so on.
• Autonomous Driving: This AI approach enables automatic driving and navigating vehicles without actual human intervention. Sensors like LIDAR, RADAR, and other sensors help in collecting additional data to analyze the surroundings for taking optimal decisions in the real world.

7. Agriculture

Artificial Intelligence is also becoming a part of agriculture and farmers’ life. It is used to detect various parameters such as the amount of water and moisture, amount of deficient nutrients, etc in the soil. There is also a machine that uses AI to detect where the weeds are growing, where the soil is infertile, etc. Let’s take a closer look at AI applications in Agriculture.

• Stock Monitoring: To have rigorous monitoring, and ensure that crops that not being affected by any disease, AI uses CN to check crop feeds live and alarms when any abnormality arises.
• Supply Chain: The AI algorithm helps in analyzing and preparing the inventory to maintain the supply chain stock. Although it’s not new, for the agriculture field, it does help farmers to ensure the demands are being met with minimal loss.
• Pest Management: AI algorithms can analyze data from multiple sources to identify early warnings to their respective farmers. This technology also enables less usage of harmful pesticides by offering the best resources for pest management.
• Forecasting: With the help of AI, analyzing the weather forecast and crop growth has become more convenient in the field of agriculture and the algorithms help farmers to grow crops with effective business decisions.

8. Human Resource

As we know, much of the hiring processes are done online these days. The online selection processes are done using the voice and camera permission of the candidate’s device. Here Artificial Intelligence is sued to detect any kind of malpractice behavior and many other things. It is also used to detect any candidate’s personality in some cases. This reduces the effort of the hiring team and also enhances the efficiency of the selection process. Let’s take a closer look at AI applications in Human Resources.

• Screening: With the help of AI, the screening process of candidates can be automated to reduce the timeframe and eliminate excess resources for this task. This helps shortlist potential candidates, and resumes and assess other insightful information in no time.
• Onboarding: Offering a personalized onboarding kit has become famous in many tech companies and this enables HR professionals to complete the initial paperwork in a short time.
• Performance: This feature enables HR professionals to perform an exercise to evaluate the employee’s performance based on the derived data and provide insights where the scope of improvement is required. This process generally takes time if attempted manually, with the help of AI algorithms, all the desired outputs can be derived in the shortest possible time.
• Workforce Planning: To predict future work plans and align resources, AI can be helpful in the human resource sector. This requires a predictive analysis based on which workforce planning is being performed.

9. Lifestyle

Artificial Intelligence has a great impact on our lifestyle. There is various day to day that we do easily are possible due to the use of Artificial Intelligence. Some examples are spam filters in the mail, fraud call detection, face unlock of mobile, fingerprint sensors in our mobile and laptops, etc are only possible due to Artificial Intelligence. Let’s take a closer look at AI applications in Lifestyle.

• Personalized Recommendation: AI algorithms analyze user purchasing patterns & based on which offer personalized recommendations for different categories which include books, clothing, and other products. The main objective of AI in lifestyle is to offer tailored solutions for its customer to experience the best experience that cannot be replaced by other substitutes.
• Shopping Experience: People have now shifted towards online shopping and the market size is likely to reach USD$ 71 Trillion by 2028 (between 2022-2028), and AI has a very significant role in this. By offering customizable recommendations, and offers, they target specific segment audiences to drive more sales.
• Virtual Assistance: There are certain apps now that have started offering enriched customer experience by adding virtual assistance to their ecosystem. AI-powered virtual assistants like Siri, Google Assistant, Alexa, and Cortana play a crucial part in this. With the help of NLP, and AI & ML algorithms, these assistants respond to customers’ queries and act accordingly.
• Language Translation: To drive more sales & traffic, companies have now started implementing multiple language support systems to target vast audiences irrespective of the country. 

10. Social media

There are various use of Artificial Intelligence in the field of social media. Some social media platform such as Facebook, Instagram, etc uses Artificial Intelligence to show relevant content to the user. It uses the search history and view history of a user to show relevant content. Let’s take a closer look at AI applications in Social Media Platforms.

• Fraud Detection: AI uses algorithms to spot and remove any fake accounts that are associated with any social media platform. Fraudsters generally use those accounts to perform unethical activities. This includes phishing, threats, or any other suspicious behaviors.
• Insights: Most of the brands have become active on social media platforms to advertise their products, this not only create awareness but also helps to gather customer’s review & feedback to enrich better customer experience.
• Sentiment Analysis: People are more connected and likely to spend more time on social media platforms. It definitely adds value to an individual’s life and is connected with their emotions. AI uses its algorithm to determine the pattern to provide a better experience while maintaining awareness.
• Moderation: Due to an increase in social media engagements, active content moderation has become a key to controlling any disruption. Ai uses algorithms to filter and moderate such content across different social media platforms. It marks the flag and eliminates any such content that violates the community guideline.

11. Gaming

Artificial Intelligence is really dominating the field of the gaming industry. Artificial Intelligence is used to make a human-like simulation in gaming. This enhances the gaming experience. Apart from that, AI is also used to design games, predict human behavior, to make the game more realistic. Various modern games use real-world simulation for gaming using AI. Let’s take a closer look at AI applications in Gaming Sector.

• Quality Assurance: Testing games & ensuring their performance gets easier allows testers to perform rigorous testing in comparatively less time. It empowers and fixes all the game mechanics and any other potential bugs that can hinder performance.
• Game Assistance: AI algorithms offers virtual assistance during gaming sessions that include tips, tutorials, and other useful resources. This feature help players to be in the game & understand the metrics during the whole time session.
• Animation: To make games more realistic, machine learning and artificial intelligence algorithms are being used in today’s gaming industry. Techniques such as Neural network empowers stimulation and facial expressions for an immersive experience.

12. Astronomy

In recent years,  Artificial intelligence is also expanding its application in the field of astronomy. AI is used to investigate galaxy mergers and stars to predict the future of human beings. The movement of stars in the sky is recorded for the whole day and night over a large time to read the changes using AI. It creates about 80 terabytes of data for one round f the rotation of the earth and records the changes in the galaxy and stars in the cosmos. Let’s take a closer look at AI applications in Astronomy.

• Analysis: It uses various classifiers, and identifier and extracts insights from time series, based on different incidents.
• Detection & Classification: AI uses its algorithms to predict incidents by performing analysis from exoplanets and other subsidies. They are well capable of performing various other astronomical patterns based on large datasets.
• Survey: AI uses its algorithms to plan and execute large datasets to derive abstract real-time events. This enables users to extract useful insight from various resources.

13. Chatbots

Chatbots are defined as a tool that is used to respond to the text that is given to them as input. In it, the customer or user sends the query according to their need and the chatbot gives the most appropriate output to provide the best solution according to the input. Let’s take a closer look at AI applications in Chatbots.

• NLP: Natural Language Processing empowers chatbots to interact with humans over chat in a more interactive way by offering quick resolution to their queries in no time. It also allows chatbots to process text or speech inputs, and extract meaning to generate the desired response.
• Multi-Language: AI-powered chatbots are capable of handling multiple languages to provide support to users worldwide. NLP algorithms enable chatbots to understand and generate responses in different languages to cater to a vast community for extensive support.
• Adaptation: AI uses algorithms to continuously improve and learn over a period of time. Through machine learning techniques, chatbots can analyze and identify areas for improvement, and update themselves based on the shared details.

14. Surveillance

Artificial intelligence is also used in the field of surveillance by recognizing far faces and objects. Then the event recognition capabilities are used to enhance these faces and objects. This helps the military to protect their areas and prevent any attack in real time. Let’s take a closer look at AI applications in Surveillance.

• Object Detection: With the help of CN, AI algorithms help in tracking objects of interest in real time. This feature allows the system to detect any object’s movement as & when required for further analysis.
• Predictive Analysis: AI in surveillance can analyze historical data and patterns to make effective decisions. This can be achieved by empowering different techniques used in machine learning, deep learning, and artificial intelligence.
• Behavior Analysis: Body gesture says it all & that’s why AI in surveillance can analyze human behavior patterns, such as gesture recognition or body language analysis, to assess potential threats or suspicious activities.

15. Finance

According to some recent surveys, 80% of banks accept that AI can provide them benefits according to their decisions in finance. From providing corporate finance advice to predicting the future outcome relate to finance, AI is capable of them Also it is used to send automated tests and mail, predict risk in loans, and detect any unwanted transactional activities, of the targeted customers. Spam and fraud filters, uncharacterized actions, responding to threats, etc are the tools that help in the field. Let’s take a closer look at AI applications in Finance.

• Fraud Detection: AI algorithms can analyze large volumes of financial data to identify patterns and anomalies that can lead to any fraudulent activity. By continuously learning from historical data, AI is well capable of handling & working with such datasets & it enables the ability to prevent from any future threats.
• Risk Assessment: AI algorithms help in enabling safeguard risk assessment models by analyzing large datasets and identifying potential risks in real-time. 
• Forecasting: AI-powered tools can assist in financial planning and forecasting that can create easy opportunities for businesses to make effective business decisions. This can be achieved by analyzing historical data, market trends, and economic indicators. 

16. Data Security

Data security is one of the major concerns for any tech company, as it keeps the information about many users’ credentials secret information of a company. There are many AI application that is used o keep these data safe and prevent form any kind of vulnerable threat and attacks. Let’s take a closer look at AI applications in Data Security.

• Threat Detection: AI algorithms can analyze and work on large datasets from various sources, such as network logs, user behavior, system activities, and so on. This helps in the early detection of malware, or any unknown threats.
• Vulnerability Management: AI can assist in detecting any vulnerabilities in systems by analyzing code, configurations, and network infrastructure. With the help of AI algorithms, anyone having access can start the scanning process automatically for known vulnerabilities and prioritize them based on the potential impact.
• Malware Detection: AI algorithms can predict & analyze the pattern of malware to provide a shield against any new threats. By allowing machine learning and deep learning techniques & algorithms, AI can easily identify previously unknown malware to prevent future attacks.

17. Travel and Transport

There is an intelligent transport system that uses  Artificial Intelligence to improve the quality and experience of travelers. Truck platooning which is used to transport heavy loads uses Artificial Intelligence to manage their loads in an efficient manner. Travel routing and ride-sharing which used real-time traffic for a specific ride are possible due to the use of Artificial Intelligence. Let’s take a closer look at AI applications in Travel and Transport.

• Planning & Personalization: AI uses customer’s historic data along with the real-time data to offer any customized flexible plan under their budget. This helps in driving more sales & matches individual needs.
• Predictive Analysis (Pricing): AI algorithms can analyze historical travel data, market trends, and other variables. This provides aid to predict demand patterns. Companies use this strategy to offer accommodations & travel assistance at higher rates.
• Route Analysis: AI uses its algorithms to detect & alarm users about any upcoming traffic during their usual route to improve user experience. This works on real-time data and is being highly used nowadays by all segments of the public.

18. Marketing

Artificial Intelligence is very dominating in the field of marketing as it is used to make an engagement with consumers using AI. AI is used to make make the reach by targeting the appropriate audience for a particular product. AI is used in the ad sense as it uses the search and purchase history to recommend the products. Apart from that. th chatbots are used to resolve the consumer issue in less time. Let’s take a closer look at AI applications in Marketing.

• Segmentation: AI uses algorithms to work on large sets of data to identify and visualize customer’s pattern and their behavior. This also helps companies to segregate the user base on different metrics such as age, gender, purchasing history, etc.
• Content Creation: AI uses NLP to generate curated content. Besides this, AI is also well capable of generating different segments of content in a flick of time. 
• Advertising: AI enhances advertising campaigns by optimizing targeting, bidding, and creative elements that can boost their advertising strategy. It can also help in analyzing users’ sentiments and patterns based on different factors and datasets.

19. Entertainment

AI is also used in the field of movies and entertainment. This field uses artificial intelligence for tagging various content to a specific person. Also, the entertainment industry used artificial intelligence for the categorization and classification of content according to the user. Let’s take a closer look at AI applications in Entertainment.

• Recommendation: AI technologies can analyze vast amounts of data, that includes viewing patterns, and user preference, and extracts historic data. Now this data is being used to provide personalized recommendations to keep up the engagement ratio and watch time. 
• Audience Insight: AI helps entertainment companies analyze large volumes of data, and this can become mainstream for companies to make effective business decisions. By using AI, it shows the audience watching pattern, and engagement ratio.
• Real-Time Engagement: This has become one of the most prominent ways of keeping their user engaged by analyzing real-time data & based on which it offers personalized content recommendations.

20. Military

Artificial Intelligence is also about to help defense and the military in the coming days. The government is planning to use artificial intelligence for various military operational support. Also, it will help in some automatic artilleries and weapons. Let’s take a closer look at AI applications in the Military.

• Decision Support: AI algorithms can analyze large amounts of data, including sensor inputs, intelligence reports, and historical information. These insights provide aid while taking an effective decision that includes stock management, resource allocation, and so on without actual human intervention.
• Cyberattack: AI plays a crucial role in detecting and responding to cyber threats in military networks. AI algorithms are capable enough to handle and manage vast datasets that can detect any abnormal activity before it actually occurs.
• Training: AI uses algorithms to train their staff in different situations that can make it more or less realistic. This can help them in making the right decision at the moment and strategies their plan effectively.

What Are The Risks of Artificial Intelligence (AI)?

As you’ve seen the applications and usage of artificial intelligence in real-life, from healthcare to security to the military, it’s everywhere now. There is no denying that it comes with big responsibilities because they are those areas/fields where the scope of error is/should not be left behind and with this there’s definitely a threat to human life as well. There have been many incidences where privacy breach has occurred.

Referring to this, Back in 2017, a firm in Hong Kong bought an AI system for trading automation which ended up losing USD 20 Million and failed to provide promising output. This clearly indicates that trusting AI and the latest technology can be a huge risk.

Conclusion

In conclusion, the applications of AI are vast and transformative, impacting industries and daily life in profound ways. From improving shopping experiences and educational outcomes to revolutionizing healthcare and robotics, AI is reshaping how we live and work. As technology continues to advance, the potential for AI to drive innovation and solve complex problems is limitless, promising a future where intelligent systems enrich our lives in ways we have yet to imagine.