Modern technology in 2025 will experience very rapid development, one of which is the development of AI (Artificial Intelligence) technology.
Based on survey data for the period April – June 2024 released by Statista Consumer Insights, Indonesia ranks fifth as a country that is enthusiastic about using AI technology.
The first order is India, then Nigeria, Vietnam, and the United Arab Emirates. Then below Indonesia, there are Saudi Arabia, Turkey, Singapore, China, Colombia, the Philippines, Portugal, Germany, England, United States, and Czechia.
Source: Statista Consumer Insights
The use of AI technology in these countries has had a significant impact on various industrial sectors.
In everyday life, we find many industries that have implemented AI technology, such as the health, financial, manufacturing, transportation, retail and e-commerce industries, and other industries.
So, in this article we will review Artificial Intelligence (AI) as a modern technology in 2025 and how it will affect various industrial sectors, as well as the challenges in its use in the future.
Artificial Intelligence (AI) is a technology that enables a system to perform tasks that normally require artificial intelligence.
According to Wikipedia, artificial intelligence (AI) is intelligence added to a system that can be arranged in a scientific context.
As reported on the site Amazon, AI is a technology that has human-like problem-solving capabilities.
The term artificial intelligence was first coined by a scientist named Alan Turing. In his 1950 paper entitled “Computing Machinery and Intelligence”, he considered whether machines could think.
Based on this, several academics or scientists are motivated to conduct research and discover various technologies related to AI.
Mention such as Marvin Minsky and Dean Edmonds, building the first neural network machine known as SNARC, Frank Rosenblatt developed an early model of a neural network known as the Perceptron, and Joseph Weizenbaum created ELIZA, a chatbot to simulate a Rogerian psychotherapist.
After going through several decades of research and development, then in 2022, AI technology such as OpenAI ChatGPT began to be famous for its ability to have human-like conversations and complete various tasks.
Artificial intelligence (AI) has become one of the most dynamic and influential fields in modern technology.
In recent years, we have witnessed tremendous progress in various subfields of AI, such as machine learning, deep learning, Natural Language Processing, and computer vision.
Here is an overview of the latest developments in these four fields.
Machine Learning is one of the main pillars of AI, allowing machines to learn from data and make decisions or predictions without being explicitly programmed.
Some of the recent developments in machine learning include more efficient and interpretable models, transfer learning, and AutoML (Automated Machine Learning).
Deep Learning uses deeper and more complex artificial neural networks to learn patterns in data.
Some recent advances in deep learning include Generative Neural Networks (GANs), transformer model refinement, and model capacity enhancement.
Natural language processing is one of the most prominent applications of AI, enabling machines to understand, interpret, and generate human language.
Recent innovations in NLP include large-scale language models (e.g., GPT-4, T5, and BERT), multimodal AI (e.g., text, image, and voice), and machine translation.
Computer Vision is a branch of AI that focuses on the ability of machines to “see” and understand the world through images and videos.
Some of the latest developments in computer vision include more sophisticated object detection and segmentation, facial recognition and biometric technologies, and text recognition in images.
Artificial intelligence has come a long way from being a tool for automating simple tasks. By 2025, AI is more sophisticated and can perform complex tasks such as real-time big data analysis and strategic decision-making across a range of industries.
The existence of artificial intelligence (AI) technology can have a tremendous impact in various fields, including in the health sector.
The use of AI in the health sector can help optimize medical data analysis, diagnosis making, and personalization of treatment.
Ganis and Amirul’s research with the title “Pemanfaatan Artificial Intelligence dalam Bidang Kesehatan”, states that Artificial Intelligence (AI) has the potential to improve healthcare services by increasing efficiency, accuracy, and effectiveness.
In other words, AI can help improve the quality of care provided to patients and improve the overall quality of care.
In addition, the use of AI in healthcare is revolutionizing medical care. From more accurate diagnoses to more personalized treatments.
However, the two researchers said that the application of AI in healthcare also presents challenges, such as data privacy and patient trust in technology.
Therefore, Ganis and Amirul hope that further research and development in the application of AI in healthcare is very important to ensure maximum benefits with minimal risks.
The following are examples of AI applications used in the healthcare industry:
In recent years, artificial intelligence (AI) has emerged as a revolutionary tool that offers innovative solutions in various aspects of operations.
In the financial industry, AI is used as a technology that can help analyze risks faster and more accurately, more efficient data screening, more effective fraud detection, and as customer service through smart chatbots.
Today, AI has changed the way financial companies operate, creating new opportunities for service improvement and risk mitigation.
Financial companies are enabling AI to analyze large and complex business data, identifying patterns, trends, and insights that can help in decision making.
As with technology AI trading which is used on the Elon Musk AI Trading platform, where this platform harnesses the power of artificial intelligence to revolutionize the trading landscape.
With AI technology applied to the Elon Musk AI Trading platform, it allows investors to navigate the complexities of the financial markets easily and efficiently, as well as make informed investment decisions and take advantage of market opportunities with confidence.
Examples of AI applications commonly used in finance include:
In the manufacturing industry, AI is used to assist in factory automation, predictive maintenance, and supply chain management.
Manufacturing companies use AI-based robots to perform tasks that are usually done repeatedly. AI can help reduce production time and ensure high-quality products.
In addition, AI also plays a role in maintaining the production environment. For example, AI can help companies predict problems with equipment or machines before damage occurs.
There are three main technologies used in AI in the manufacturing industry, namely Machine Learning, Deep Learning, and Autonomous Thins (AuT).
Here are some examples of the use of AI technology in the manufacturing industry:
AI technology in the retail and e-commerce industry can change the way people shop. AI plays an important role in providing product recommendations, automated inventory management, and personalizing customer experiences.
AI technology applied in retail and e-commerce can help understand consumer behavior better, save operational costs, and make the shopping experience more personal.
Examples of AI technology used in the retail and e-commerce industry, namely:
The transportation industry is also not left behind in the use of AI technology. The use of AI technology in the transportation industry is used to improve safety, optimize routes and reduce congestion, and improve the driving experience.
There are two AI technologies that are often used in the transportation industry, namely machine learning and computer vision.
The application of AI Machine Learning technology works as a tool to predict traffic and travel time, predictive vehicle maintenance, and optimize fuel consumption.
In terms of traffic management, the algorithms in AI technology work to analyze real-time data from various sources, including traffic cameras, sensors, and GPS devices.
While the use of computer vision technology works to detect and recognize objects, monitor road conditions, and avoid collisions automatically.
Modern technology in 2025, namely Artificial Intelligence (AI), can shape and provide significant changes in various industries, including the health, financial, manufacturing, transportation, retail and e-commerce industries.
The use of AI technology in these industries can help in various ways such as efficiency and automation, better decision making, personalization of services, and continuous innovation.
In the next few years, we believe that AI technology will continue to develop and will affect various sectors, including changes to the labor market and the types of jobs that will emerge.
Although AI technology can change various things in various industries. However, it does not mean that the use of AI technology does not have challenges.
One of the challenges in using AI technology is related to ethics and privacy. Problems that can result from the use of this technology, such as privacy issues and the use of personal data.
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