Applications of Artificial Intelligence

Artificial intelligence has proved that it can do many more things than what natural intelligence (NI) can. The breakthrough technology has opened doors for it to be implemented in many sectors. It has applications in numerous areas including manufacturing, health care, food and water, e-business, and defense & security.


Artificial intelligence has limitless applications in the manufacturing sector. In fact, this is one of the areas that have been instrumental in taking the technology to the next level. The applications of AI in this area range from enhancing the supply chain to predictive maintenance of machinery and ensuring workplace safety (Yao, Jia, Zhou, & Zhang, 2018).

Predictive maintenance of machinery

Maintenance of machinery in the manufacturing sector is one of the most daunting task for companies. With AI, factories are able to perform predictive equipment or machinery maintenance. The technology uses sensors to keep track of how machinery are performing in the coming and determine one’s that ought to be maintained and at what time to be specific.

Improving the supply chain

The essence of artificial intelligence in the manufacturing sector is to make machinery and robots usable. As the supplying chain continuously increases the number of algorithms developed for the sector, AI will be instrumental in helping perceive demand patterns for certain geographical markets and over given timeframes (Korolov, 2018).

Enhancing workplace safety

Employees in the manufacturing have the biggest exposure to accidents which threaten their life. These mishaps can also destroy the whole property. AI machines have the intelligence that they need to prevent the likelihood of such incidences occurring. As AI takes up most of the tasks involved in manufacturing, it means that lesser human effort is deployed to tackle dangerous manufacturing works. Rather, the robots will be used in tackling the risky activities, which considerably reduces workplace accidents (Korolov, 2018).

Improving on quality

Tough competition in modern markets demands that there be a shorter time-to-market deadline. That, coupled with the increasing complexity of products, companies could sometimes find it hard to maintain top quality goods and abide by the set standards and regulations. Even as that happens, customers demand that firms deliver products that are faultless. In order to meet all these requirements, AI algorithms are being used by manufacturing teams to spot production faults which could result to poor quality products. Some of the faults highlighted may include change in raw materials, machine behavior anomalies, deviation from recipes, and more. Furthermore, the AI algorithms have a provision for the manufactures to gather data and use it in evaluating their performance over a specific period for improvement.

Health Care

There are numerous applications of artificial intelligence in health care as discussed below:

Tackling repetitive tasks

The health care sector has some tasks such as CT scans, X-Rays, data entry, and analysis of tests which tend to be repetitive. Such tasks could be left to robots which are able to perform them more efficiently than humans. In particular, the fields of radiology and cardiology normally generate vast amount data whose analysis not only takes a lot of time but is also overwhelming. AI allows radiologists and cardiologists to only go through the most complicated cases which need human supervision (Troyanos, 2018).

Bringing sanity to medical records

The health care sector generates an enormous amount of medical records and managing these can be quite tough. As regulatory authorities increase their oversight on how data is dealt with in the sector, they expose themselves to the risk of losing their licenses when malpractices happen. However, AI provides a ray of hope with regards to how medical records are managed. In fact, the management of data is the most motivating factor for increased uptake of artificial intelligence in the health care sector. The robots are used in the collection, storage, and analysis of data, making it more usable.

Creation of drugs

In the past, pharmaceutical companies would take decades before they developed a drug. Furthermore, the expenses involved would even go beyond the set budget. The introduction of artificial intelligence in the sector is expected to deal with this challenge. When Ebola outbreak recently happened, an AI-powered program was used to analyze the current medicines which would be redesigned to combat the disease. Within a day, the program was able to make recommendations for two medications that could be relied on in reducing Ebola. This was a deviation from the past when it would have taken a minimum of three months.

As the healthcare industry continues to evolve and AI further improved, the applications of this technology in the sector increase from health monitoring and healthcare system analysis to digital consultation (PWC, n.d.).

Food and Water

The latest advancements in artificial intelligence are largely benefiting the food industry. The technology is doing everything from maintaining safety compliances, sorting foods, bolstering the supply chain, and developing new products. But it’s not just the food industry that is enjoying from all of these advancements. AI is being used to smarten our water systems for better utilization. The two – food and water – are limited and the more we manage them effectively with the aid of technology, the better for us all.

Advice on a better diet

We are what we eat, and if we tend to eat certain foods just because we like them more and leave out others that have vital ingredients required by our bodies, we may end up being malnourished. Artificial intelligence has been applied with regard to help people get all the ingredients needed by their bodies. Lifesum, an AI-powered fitness tracking app, established that most London consumers experienced fatigue and stress because they had lower levels of omega-3, vitamin E and zinc. The app, which utilizes the NLP feature of AI, was able to give recommendations on the best diet and workout plan that individuals could follow to realize their personal health goals.

Developing new products

Food industries are often bogged with the question of whether to develop new products or to leave things just as they are. The artificial intelligence technology is meant to simplify this challenge for the food companies. One such tool, Gastograph AI has been designed specifically for this purpose. The technology implements predictive algorithms and machine learning to determine the flavor preferences of consumers, helping firms see in advance the kind of respond their new products may get.

Managing leaky pipes and mains

These are some of the biggest contributors of water wastage long before it reaches the household and factories. However, artificial intelligence is being applied to data management systems and water equipment to take note of such leakages and solve them before too much wastage happens. Other firms like Fathom make use of the technology to gauge the ability of households to pay their bills on time based on their employment status and social media sentiments.

Managing water use in homes

By replacing analog water meters with smart ones which are able to collect and send data wirelessly to determined locations, homes are able to use this data in managing their usage of water. By including AI into the smart meters, the home owners could be advised on what is leading to certain water misuse and the relevant steps to take to prevent that. More software companies are coming onboard to build proactive meters that include customer management accounts. This means that one’s smartphone could be used to communicate with the water meter and provide you with vital insights into your water use pattern.


Thanks to e-business, retailers have managed to reach markets that were impossible to reach before. They stand to enjoy more benefits with the inclusion of artificial intelligence.

Automatic customer feedback

An effective e-business understands that its interaction with the customer does not end when the product has been delivered to the customer and payment made. Rather, there ought to be an after sales service that seeks to establish a better relationship with the customer and even entice them to buy again from your store. The purpose of AI in e-business is to automate the feedback form which could have features like replacement of a product and tackling any other ambiguity in the product. When customer issues are dealt with, the e-business is able to build a strong reputation for itself in an online world where there are countless cons (Corea, 2017).

Image search

Searching online products through text has been the norm for quite a while. However, there are cases when buyers encounter the image of a product, they like it but since they do not have a clue of its description or name, they may be unable to get it on an e-commerce site. With the emergence of artificial intelligence, it is becoming increasingly possible to search for a product with the aid of an image. One does not have to know the product’s name. All that AI demands is that you have its image and you are set. This is a development that has seen e-commerce businesses increase their sales (Forbes Technology Council, 2018).

Personalized recommender systems

Whenever one visits major e-commerce sites like Amazon and eBay, they are often shown a ray of other products similar to what they just liked or bought. What is even more mindboggling is the fact that the sites almost always get it right with the other products shown. This ability to recommend the products with high accuracy is powered by AI. Through machine learning and AI, a buyer’s behavior is predicted based on items frequently bought, likings and searches.

Virtual assistants

Shopping online can sometimes be confusing and so customers will always need some help. Through AI, customers are able to get any kind of help they need as demonstrated by Alexa, Amazon’s virtual assistant. Through such features, AI has helped shape the manner in which customers buy products. One could simply send flowers to their loved one at the command of a voice to the AI.

Defense and Security

AI has rapidly established itself as the future of warfare. As opposed to the conventional systems, military systems that are powered by AI can efficiently process big data. The insights gained from the data play crucial part in planning of different military strategies.

AI has had significant applications in the defense and security sector. The applications range from target recognition, cyber security, logistics & transportation, and drones for surveillance.

Recognition of the target: While in complex combat environments, it is paramount that the target is properly established. With AI, this has become a reality. Various artificial intelligence techniques have been applied to the analysis of situations so that the position of targets are well established (Forbes Technology Council, 2018).

Cyber security: The country’s defense and security systems are often threatened by cyber-attacks. By equipping the systems with artificial intelligence, detection of unauthorized access to programs, computers, networks and data is performed autonomously, locking out the hackers long before an attack can be executed.

Transportation: Successful military operations largely rely on the ability of armaments, ammunition and goods to reach the destination as planned. The inclusion of AI in the transportation of these goods not only reduces the transportation costs but also curbs anomalies linked to too much involvement of human labor.

Drones for surveillance: In order for the military to properly run operations in an area, it needs to see the area in advance and throughout the whole operation process. Unlike in the past when operations were carried out blindly, the remote-controlled vehicles can be deployed in advance for inspection of the terrain and other factors. They are also deployed in operations such as border surveillance and peace-keeping.

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