Exploring Practical AI Applications in Real Life Scenarios
We all know that Artificial Intelligence (AI) is changing how we live and work and transforming our world socially, economically, and politically. AI algorithms have the ability to understand, think logically, and fix their own mistakes. AI applications in real life have progressed dramatically in recent years and may now be found in practically every business industry. Many programs and services that assist us in doing routine tasks in several disciplines, such as healthcare, agriculture, finance, and manufacturing, are now driven by AI.
In this essay, we will discuss the remarkable progress of AI in effectively utilizing various resources and its fast-paced improvement in several real-life applications.
Introduction
Artificial Intelligence (AI) nowadays has transformed into a significant trend, and we can hear about AI applications in real life in various fields, from healthcare to finance systems and from manufacturing to agriculture. Artificial intelligence generally refers to the replication of human intellectual processes by machines, particularly computer systems. Through an ingenious combination of computer science, algorithms, machine learning as a service, and data science, AI can solve tasks with performance comparable to human experts. In other words, AI includes any system with the ability to sense, reason, engage, and learn, which can be used in various majors such as Planning, Robotics, Vision, Speech, Expert Systems, Natural Language Processing, etc. Figure 1 shows the AI landscape and its main seven subsets.
One of the main AI classes is machine learning (ML). ML is a subset of AI that provides intelligence to machines with the capability to learn automatically from experience. Machine Learning is based on the notion that machines can learn from past data, recognize patterns, and make decisions using algorithms. Going further, Deep Learning (DL) represents a subclass of ML. The concept of Deep Learning draws its inspiration from the way biological neurons process information. As a result, Deep Learning can provide AI agents with the ability to mimic the human brain. The system becomes independent of an expert's ability to detect and extract distinguishing features between objects of interest by employing numerous layers to gradually extract higher-level features from the raw input.
In the past, applying AI in real life was about greater success, but it has been almost a decade since adopting AI technology became necessary for enterprises' survival. Artificial intelligence-based technologies are currently widely employed in a variety of applications. This essay will take a close look at four applications: healthcare, finance, agriculture, and manufacturing. Aside from these uses, AI plays an essential role in various other disciplines, including education, lifestyle, ecology, navigation, robotics, human resources, gaming, social media, astronomy, travel and transportation, and many more. Artificial intelligence may assist educators in automating administrative duties, digitizing course content, and monitoring pupils. In terms of lifestyle, AI has a significant impact, such as delivering accurate spam filters, facial recognition, and recommender systems. Blind recruiting is aided by artificial intelligence. One may assess apps using machine learning tools depending on certain factors.
AI-powered systems may scan job candidate profiles and resumes to offer recruiters with an overview of the talent pool from which to pick. In a nutshell, the integration of AI into various sectors has ignited a transformative wave of innovation. One of the applications of machine learning in ecology is biodiversity monitoring, which involves species identification and population tracking. These actions contribute to surveillance efforts. Figure 2 shows the companies that have AI products and services in various applications, particularly in healthcare, finance, manufacturing, and agriculture. You can observe various companies such as providing state-of-the-art technology in the aforementioned fields in picture. For instance: AssemblyAI, C3, Width, Saiwa, MURF, OpenAI, and MonkeyLearn.
AI has demonstrated its potential to make tasks more streamlined and significantly closer to perfection. In the sequel, we will explore how AI establishes itself as an indispensable tool in each of the aforementioned areas.
AI Applications in Real Life
Healthcare
Recently, Artificial Intelligence has increasingly become an integral part of medicine and healthcare systems. Here, doctors and experts hold AI methods such as image processing techniques, in high regard as a pivotal area in medical science. AI is now extensively employed to support diverse medical tasks, and each day brings innovative and beneficial advancements in this field. In particular, AI plays a significant role in enhancing medical imaging, enabling early detection and diagnosis, and providing surgical assistance, among other duties.
One of the standout AI applications in real life involves assisting in improving the accuracy and clarity of medical images, including MRI, CT scans, and X-rays. This advancement leads to better visualization of abnormalities.
Typically medical images require enhancements to achieve a better diagnosis. Consequently, notable image processing algorithms like denoising, deblurring, and resolution enhancement play a significant role in this field. Alongside these interpretations, AI also plays a critical role in other aspects of the medical field. One of the most famous examples of this is about predicting, especially contagious diseases like the effective measures taken during the COVID-19 pandemic to prevent its excessive spread. When the COVID-19 epidemic struck, it made things extremely difficult for healthcare. However, it prompted many healthcare organizations throughout the world to experiment with novel approaches to employ AI such as monitoring and screening patients.
Finance
One of the most common uses of AI applications in real life is in the financial field. Artificial intelligence’s influence on the finance sector spans diverse domains, revolutionizing traditional practices with its advanced capabilities. Obviously, AI is caused a significant shift in the financial industry. It's clear that it will indeed alter the way banks, financial institutions, and investors conduct their operations, entirely. Here, we aim to review some of the most common AI applications in finance and explore how they are changing the industry. For instance, customers seeking assistance with wealth management products may simply obtain the information they want via SMS text messaging, or online chat, both of which are driven by AI.
Recently, AI has been employed in algorithmic trading. Several methods, such as sentiment analysis, predictive modeling, high-frequency trading, etc., can effectively analyze market patterns, detect trends and make predictions about future prices. Moreover, critical issues exist within the finance industry and one concern about this is financial fraud and some illegal practices. Fortunately, AI has offered solutions for this predicament. It can analyze actions and apply useful AI algorithms such as anomaly detection, identification verification, and pattern recognition to identify and prevent the risk of fraud in the market which humans can easily miss, thus saving businesses and individuals from significant loss. Additionally, it’s noteworthy that the use of AI applications in finance has decreased the investment failure risk in this field.
Agriculture
Agriculture stands as one of the most ancient and crucial sectors globally. The world's population is rapidly growing, and the need for food is on the rise. Combining the terms AI and agriculture might appear as a strange pairing. However, AI has transformed into a milestone in this field lately. AI has embarked on a journey that is becoming a revolution in agriculture. Nowadays, due to developing technology and flowing the Ai applications in real life, farmers can not only monitor the health of their crops using AI-powered drones but also, recently, it has become clear that AI can improve agricultural decision-making. Specifically, farmers can make better decisions and analyze their farming methods using AI technology, which leads to heightened efficiency in agriculture. Algorithms such as plant counting or counting trees are utilized to determine their effectiveness.
Artificial intelligence is utilized to detect soil flaws and nutrient deficits. AI-enabled drones (Figure 3) can identify where weeds are growing using computer vision and machine learning techniques. AI bots can assist in harvesting crops at a higher volume and rate than human employees.
Manufacturing
AI has had a notable impact on the manufacturing sector, enhancing the manufacturing process through various improvements brought about by the utilization of state-of-the-art artificial intelligence algorithms. There are numerous potential applications in this field. AI is being utilized in manufacturing to automate operations, optimize production, and enhance quality control.
Additionally, AI improves defect detection by using advanced image processing methods to automatically categorize imperfections across a wide range of industrial items. For instance, AI is used for quality assurance and inspections through the implementation of computer vision. This technology utilizes advanced cameras to monitor each stage of manufacturing, enabling the identification of defects with the assistance of AI. While it's one of the most useful applications of AI in manufacturing, AI also is used in many aspects of industry and production, such as energy efficiency, data analysis, and safety monitoring. Moreover, considering the increasing data every day, this field is expected to hold greater potential for receiving positive developments in manufacturing through the use of AI applications in real life.
Manufacturing processes may benefit from intelligent and smarter factories that increase efficiency while decreasing costs. AI may be used in vehicle assembly, supply chain optimization, factory floor robots, enhancing performance using sensors, designing automobiles, and post-production operations.
Industry 4.0
We are currently undergoing a significant change in how we manufacture products due to the integration of digital technology into the production process. This shift is so significant that it's referred to as Industry 4.0, signifying the fourth major manufacturing revolution. The idea behind the Industry 4.0 revolution was constructed upon the three previous industrial revolutions: the initial revolution involving mechanization through water and steam power, the second revolution centered on mass production with the help of electricity, and the third revolution marked by computerization with automation. Industry 4.0 is defined by the rise of automation and the utilization of artificial intelligence in factories. In other words, Industry 4.0 is where innovation meets manufacturing, as machines are powered by artificial intelligence and factories become dramatically smarter. Without a doubt, artificial intelligence stands as a highly sustainable criterion in this major shift. Factories generate vast amounts of data, and this phenomenon is continuously increasing. As data continues to increase, the potential results that Artificial Intelligence can achieve, become even more remarkable.
Future Trends
The development and evolution of AI technology are happening at a rapid pace. The future of AI applications in real life may impact several aspects of human life, including:
AI will help doctors identify illnesses more swiftly and precisely. AI will make new medication research more efficient and cost-effective. It will also improve patient participation in their treatment and make appointment scheduling and bill paying easier, with fewer mistakes.
Adoption of AI in transportation towards fully autonomous vehicles
AI will be utilized to create new solutions for pollution reduction and environmental protection.
Producing new technologies for space exploration and planet colonization.
AI will revolutionize the way we work by automating regular chores and freeing up human workers to pursue more creative and strategic efforts.
AI will be capable of processing difficult inquiries, making tailored suggestions, and giving superior consumer experiences.
Conclusion
Artificial Intelligence (AI) is no longer just a word, it is now a very important part of our lives. It affects every aspect of society in ways that we could only imagine a few years ago. In a world undergoing digital transformation, AI has emerged as a driving force across diverse industries. Furthermore, the need for AI applications in real life is felt wherever we think, especially in healthcare, finance, agriculture, and manufacturing.
In healthcare, AI refines diagnosis through advanced imaging and predictive analysis, even aiding in disease outbreak predictions, as seen during the COVID-19 pandemic. In finance, from algorithmic trading to fraud detection, AI revolutionizes operations and risk management. The agriculture industry gains renewed energy with the aid of AI-powered drones that monitor crops, and machine learning enhances decision-making. In manufacturing, AI propels smart factories with precise quality control and resource efficiency under the banner of Industry 4.0.
Obviously, the future holds a deeper embrace of AI's potential as industries tap into its capabilities to redefine processes and solve complex problems. Without a doubt, artificial intelligence holds great promise for revolutionizing our lives.