Top 10 Applications of Artificial Intelligence

Waheed Iqbal
JSdevs
Published in
7 min readMay 27, 2021
Photo by Possessed Photography on Unsplash

Here is a quick refresher about artificial intelligence. AI refers to intelligence by machines that simulate human intelligence; basically, it’s the ability of a computer program to think and learn.

Now let’s take a look at how different domains use AI. Let’s have a look at the current state of AI.

Artificial Intelligence in Artificial Creativity

Have you ever thought about what would happen if Artificial intelligent machines try to create music and art? AI is already contributing to the field of music and art as well. Museet is a great example — a deep neural network that can generate 4-minute musical compositions with ten different instruments. Another example of AI in artificial creativity is a content automation tool called Wordsmith.

Wordsmith is an AI-powered tool that produces written analytics by transforming the given data. Microsoft, Yahoo, and Tablo use Wordsmith to generate content.

AI applications in Social Media

Social media has become our identity. It has been generating an immeasurable amount of data through chats, tweets, posts, and so on. Whenever there is an abundance of data, AI and machine learning are always involved.

  • AI in Facebook

On social media platforms like Facebook, AI is used for face verification. Machine learning and deep learning concepts are used to detect facial features and tag your friends. Deep understanding is used to extract every minor detail from an image using a bounce of neural networks. Machine-learning algorithms are used to design your feed based on your interests.

AI is used for picture analysis to recognize people in photos. There is a tool called Deep Text. With this tool, Facebook can better understand conversations. It can also use it to prevent suicide by identifying posts that represent suicidal thoughts. AI can also be used to translate commands from different languages.

  • AI in Twitter

Twitter is using AI to identify hate speech in tweets. Twitter makes use of machine learning, deep learning, and natural language processing.

AI is used for fraud detection, removing propaganda and hateful content on Twitter. Twitter also uses AI to recommend tweets users might enjoy based on what type of tweets they engage with. AI is used to filter through inappropriate content and remove them from the platform.

  • AI in Instagram

AI considers your likes and accounts that you followed to determine what posts you are shown. AI can recognize and remove spam messages from user accounts using facebook’s DeepText tool. AI is also used for handling cyberbullying to check content based on hashtags from other users.

AI applications in E-Commerce

  • Personalized Shopping

AI offers you a personalized shopping experience. With AI, you have recommendation engines that can enable you to engage with your customers by considering their usage history, preferences, and interests.

By providing these recommendations, what you are doing is improving your relationship with your customers. You are improving their loyalty to your brand and increase in the number of conversions.

AI also enables you to visual search, through which users can upload an image of the item they require and show search results that match their query.

  • AI-Powered Assistants

AI-powered assistants like virtual shopping assistants and chatbots help improve the user experience while shopping online. This type of AI software uses NLP techniques (natural language processing). Conversations with users can seem personal to users and tailored to their interests.

Did you know that chatbots could handle customer service? This assistance can help with answering questions, gathering feedback, and performing real-time engagement.

  • Smart Purchase

AI helps forecast demand for products and enhances the decision-making behind what items to stack up and when it should be done. So that customer expectations can be met.

  • Fraud Prevention

AI helps in the prevention of fraud. AI can identify credit card usage patterns. And also reduce the possibility of credit card fraud taking place. AI can also help in identifying and handling fake reviews, in the process improving customers’ trust in your brand and product. Some of the organizations that already have started using AI are Amazon, Alibaba, and eBay.

Artificial intelligence In Robotics

  • Mobility

Robots that are powered by AI use real-time updates. AI-enabled robots maneuver through a particular path with real-time updates. It uses that path to sense obstacles and pre-plan its journey.

It can be used to carry goods in factories, warehouses, hospitals, cleaning offices. Large equipment, inventory management, also used for exploring environments that are too dangerous for humans.

  • Process Optimization

AI can be used in process optimization. AI intelligence can be enhanced by analyzing data obtained from sensors. It is also used to avoid unnecessary breakdowns and associated costs of significant issues.

Artificial intelligence in HR

Do you know that companies use software to hire employees? AI helps with blind hiring. Software that uses machine learning can be used to swift through applications based on specific parameters.

AI can scan job candidates’ profiles and resumes to provide recruiters based on skills, education, background, gender, and other unique characteristics.

Artificial intelligence in Healthcare

  • Patient care

Audit systems that use AI can prevent prescription errors and ensure the disease is identified correctly. Prescriptive analysis can be performed on patient data to ensure that the case is prioritized in real-time. Some of the popular uses are Jvion, well frame, and EHLITIC.

  • Medical Imaging and Diagnostics

AI can help analyze chronic conditions with lab and other medical data to ensure early diagnosis. AI can be used with advanced medical imaging to diagnose and transform images.

  • Research And Development

AI is essential when it comes to the discovery of new drugs. This is made possible with the help of a combination of historical data and medical intelligence. It also helps to understand the human gene and its components, and it also helps predict the different outcomes possible if gene editing is performed.

Right now, there are probably scientists racing to develop the gene sequence for covid-19 and towards the creation of vaccines.

AI Application in Agriculture

AI helps in monitoring crop and soil health. It can be used to identify defects and nutrient deficiencies in the soil. By analyzing the images of soils and patterns in them, soil defects, plant pests, and diseases can be placed.

  • Decrease of Pesticide Usage

AI decreased pesticide usage using technology like computer vision, robotics, and machine learning. AI can be used to analyze where weeds are growing. This way, herbicides can be sprayed only where the weeds are; with this, herbicides usage is limited.

  • Agriculture Bots

AI also helps with agriculture bots. It can be used to harvest crops at a higher volume and faster pace than human laborers.

AI applications in Gaming

One of the important things that game companies need to think about is labor costs. AI can be used to save labor costs. It can be used to generate levels, maps, textures, weapons, characters, etc.

AI can be used to develop intelligent virtual humans like NPCs to interact with gamers. It can also be used to predict player behavior to improve game testing and design. The 2014 game Alien Isolation, used AI to stalk the player throughout the game.

The game uses two AIs’, “Director AI,” which constantly knows your location, and the “Alien AI,” driven by sensors and behaviors that continuously hunt the player.

AI Application in Automobiles

  • Driverless Automobiles

AI can be used along with the vehicle’s camera, radar, cloud services, GPS, and control signals to operate the car.

  • Driver Assistance

AI can be used to improve the in-vehicle experience. AI provides additional systems like emergency braking, blind-spot monitoring, driver-assist steering are used.

AI applications in Marketing

  • Programmatic Advertising

AI enables programmatic advertising with AI. Marketers can deliver highly targeted and personalized ads with behavioral analysis, pattern recognition, etc.

It also helps with retargeting the audience at the right time to ensure better results and reduce feelings of distrust and annoyance.

  • Personalized Narratives

AI can perform content writing to match the brand’s voice and style. For handling tasks like performance reports, campaign reports, market research analysis, etc. It can also be used to handle routine tasks like performance, campaign reports, and much more.

  • Chatbots

AI helps with setting up Chatbots. Chatbots are powered by AI, NLP (natural language processing), NLG (natural language generation), and NLU (natural language understanding) that can understand what users are saying and respond as humans do.

  • Personalized UI or UX

AI can be used to provide users with real-time personalization based on their behavior. These intelligent systems can process information about site visitors or app users then apply changes to the model and optimize it. By continuing to learn and adjusting the algorithms improves user experiences to offer a more engaging personalized experience.

  • Localization

AI helps with localization. It can help edit and optimize marketing campaigns to fit the needs of a local market. By automating the editing of certain variables like CTAs, ad copies, etc. The movements would connect better with the local audience.

In Conclusion

To summarize, the world is on the cusp of revolutionizing many sectors through artificial intelligence and data analytics. The technology of artificial intelligence can become the future in all the domains of environment, health, finance, criminal justice, public safety & security, business models, risk mitigation, system performance, and many more.

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Waheed Iqbal
JSdevs
Writer for

Digital marketing & growth hacking professional. Knows about SEO, SEM, Email & Content Strategy. Likes to write about digital, blockchain and cyber-security.