Emerging Technology: Artificial Intelligence is Shaping Every Industry

2023-12-21

With the emergence of emerging technologies, it is expected that the application of artificial intelligence will have a significant impact on our society

Artificial intelligence is the cornerstone of emerging technologies

Industrial modernization heavily relies on emerging technologies. These technologies, such as artificial intelligence, have significant impacts on the manufacturing, energy, and transportation sectors. Enterprises are transforming into a digital environment through emerging technologies. Every time the term "technology" is used, there will always be something new developed or put into use, which may benefit the organization.

A few years ago, no one believed that emerging technologies would soon take over our lives. The rapid development of users has impacted the demand and expectations of the business ecosystem for real-time interaction between these applications. These technological advancements have greatly impacted the way we address global issues. These new technologies can improve people's lives, change the course of the international economy, and enhance the quality of life for present and future generations.

What is artificial intelligence?

Generally speaking, artificial intelligence is the activity of creating computer systems that can make intelligent decisions based on context rather than direct input. It is crucial to understand that artificial intelligence systems always follow programming rules, such as playing chess on a computer. Although many people today may not consider it artificial intelligence (AI), it does satisfy the description of a system that has rules for making decisions and estimating probabilities based on the actions of opponents.

Industrial modernization heavily relies on emerging technologies

Nowadays, as abilities approach perceptual abilities, artificial intelligence is becoming increasingly popular. This dilemma stems from various trends, which are fundamental elements for enterprises to incorporate artificial intelligence into their strategies.

What is the most emerging technology?

The term "emerging technology" is commonly used to describe a new technology, but it can also refer to the sustained development of existing technologies. When used in different environments such as media, business, science, or education, its meaning may vary slightly.

PwC inspected over 250 of them to determine which emerging technologies will have the greatest impact on the business of various industries. The most promising technologies are categorized into the basic eight technologies. They include robotics technology, 3D printing, blockchain, drones, augmented reality (AR), artificial intelligence (AI), augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT).

Enterprises in various industries are using, investing in, or planning to invest in artificial intelligence (AI). AI is improving industrial processes and making machines "intelligent". It is expected to become one of the disruptive technologies affecting the industry and business. With the growth of the artificial intelligence market, enterprise management should understand how this technology will affect their corporate strategy-- PwC

The pandemic is accelerating the adoption of emerging technologies, while the basic eight are still evolving and leaving their mark today. Some, such as artificial intelligence, are crucial for all types of business. Others, such as 3D printing, focus on specific industries, including manufacturing. Meanwhile, we have been monitoring another significant change: the revolutionary way these technologies are combined.

The pandemic is accelerating the adoption of emerging technologies

Although there are other emerging technologies, such as quantum computing and nanotechnology, in the next five years, the most important and practical impacts will continue to be generated by the eight emerging technologies. However, the ways in which their collaboration generates this impact may vary.

Is artificial intelligence an emerging technology?

In almost every field, artificial intelligence will affect people's future lifestyles. It has become the main driving force for emerging technologies such as big data, robotics, and the Internet of Things, and will continue to do so in the foreseeable future. So, the answer is yes. Artificial intelligence is an emerging technology.

The role of artificial intelligence in future technology

Artificial intelligence will completely change our way of work and life. It helps us improve productivity in various ways and saves a lot of time when performing simple and repetitive tasks at home and work.

For example, we can now set up a robot vacuum cleaner to clean the floor, saving us time and energy. With the help of artificial intelligence, vacuum robots can effectively clean surfaces while avoiding collisions with obstacles.

Due to progress and artificial intelligence, the demand for repetitive labor will also be eliminated. By eliminating the risk of human error, autonomous vehicle will reduce our driving burden and may reduce the possibility of accidents.

In addition to reducing repetitive work and improving employee productivity, artificial intelligence also has the ability to make quick decisions, which has the potential to change many industries. As artificial intelligence becomes increasingly ingrained in our daily lives, we must take necessary preventive measures to prevent moral and safety issues.

Top emerging technologies in the field of artificial intelligence

Due to the long history of artificial intelligence in popular culture and its prominent examples in the consumer field, many people's views on artificial intelligence have been distorted or limited. Although intelligent chatbots and natural language interfaces are undoubtedly part of the artificial intelligence ecosystem, they are currently one of the least common ways organizations use new artificial intelligence.

It is not surprising that the cutting-edge technology of the Internet of Things is often associated with artificial intelligence. The complexity of IoT systems essentially requires a certain degree of automation and network learning. Although less implementation of the Internet of Things can bring some benefits, large systems may consider artificial intelligence as part of the solution.

Artificial intelligence has become the main driving force behind emerging technologies such as big data, robotics, and the Internet of Things

Examples of Artificial Intelligence Technology

Machine learning: Machine learning enables computers to interpret large datasets without the need for explicit training. When using statistical models and algorithms for data analysis, machine learning techniques can assist business decision-making. Enterprises have made significant investments in this field to benefit from the use of machine learning in various fields.

The healthcare and healthcare industries require machine learning algorithms to analyze patient data for disease prediction and effective treatment. Machine learning is essential for analyzing customer data, discovering and recommending customer investments, reducing risks and fraud in the banking and financial industries. Retailers use machine learning to analyze customer data and predict constantly changing consumer preferences and behaviors.

Virtual Assistant: The use of virtual agents by instructional designers has significantly increased. The computer program that communicates with people is called a virtual agent. Web and mobile applications use chatbots as customer service representatives to communicate with people and respond to their inquiries.

Amazon's Alexa and Google Assistant both make planning meetings and shopping easier. Virtual assistants perform functions similar to language assistants by obtaining clues from your preferences and choices. IBM Watson can understand common customer service queries presented in various ways. The function of a virtual assistant is similar to software as a service.

Speech recognition: Another important branch of artificial intelligence is speech recognition, which converts spoken language into a form that computers can utilize and understand. The bridge between human-computer interaction is speech recognition. This technology can translate and recognize human speech in multiple languages. A famous example of speech recognition is Siri on the iPhone.

Deep learning: Another field of artificial intelligence that relies on artificial neural networks is deep learning. This method encourages computers and other devices to learn while doing, just like people do. Because neural networks have hidden layers, the term "depth" was created. A neural network typically consists of two to three hidden layers and up to 150 hidden layers.

When using graphics processing units to train models, deep learning is very effective for large amounts of data. The algorithm hierarchy is used for automated predictive analysis. Deep learning has gained attention in various industries, including aerospace and military, to identify things from satellites, ensure worker safety by identifying dangerous situations when workers approach machines, and detect cancer cells.

Natural language processing: The way machines transmit and interpret information is different from the human brain. A popular method called "natural language generation" converts structured data into the user's native language. Algorithms are programmed into machines to convert data into formats that users find attractive. A subset of artificial intelligence called natural language can help content creators automate content and provide it in the desired format.

To reach the target audience, content creators can use automated content to promote on different social media platforms and other media platforms. As the data is converted into the desired format, the amount of manual intervention will be greatly reduced. Other visual representations of charts, graphs, and data are available. Nowadays, artificial intelligence art illustrators extensively use natural language processing models. For example, emerging technologies such as DALL-E 2 and Midjournal AI all use this method.

How intelligent is artificial intelligence today?

A large amount of fuel, natural resources, and labor from humans are used to create artificial intelligence. Furthermore, it lacks any intelligence similar to that of humans. Without a lot of manual guidance, it cannot make distinctions, and the statistical reasoning it uses to determine meaning is completely different. Since the emergence of artificial intelligence in 1956, we have made this terrible mistake - a sin in this field - assuming that ideas are similar to computers, and vice versa. Nothing is more outrageous than assuming that these objects are analogues of human intelligence.

However, artificial intelligence has now been well applied in many different enterprise departments and is gradually influencing decision-making in areas such as human resources, insurance, and bank loans.

Artificial intelligence has now been widely applied in many different enterprise departments

Machines analyze our online behavior to understand us and what we like. After deleting less important information, the recommendation system will suggest movies we watch, articles we read, or clothes we like on social media.

Due to the development of increasingly powerful computers and the digitization of information, mathematical models have been greatly improved. The remaining part is completed by the Internet and its infinite dataset, improving the capabilities of artificial intelligence systems.

Where is the future of artificial intelligence?

Although it is impossible to predict how artificial intelligence will comprehensively impact our lives, some things are certain:

Artificial intelligence will become the cornerstone of international relations

The conclusion drawn by the National Artificial Intelligence Security Council of the United States is that the US government must significantly accelerate the development of artificial intelligence. Undoubtedly, artificial intelligence is crucial for the sustained economic strength and geopolitical leadership of the United States.

AI and ML will evolve scientific methods

The construction of large-scale clinical trials and particle colliders is an important example of expensive and time-consuming science. In recent decades, there have been significant and well founded concerns about the stagnation of scientific progress. The era of great scientific discoveries may have come to an end.

We can expect that there will be an order of magnitude improvement in what artificial intelligence and machine learning (ML) can do. Humans are limited within the scope of their computational research concepts. Humans and computers can discuss broader concepts.

Artificial intelligence will pave the way for the next generation of customer experience

The metaverse and cryptocurrency are two examples of the next generation of consumer experiences that have sparked a lot of hype. Artificial intelligence is crucial in making these experiences more likely. Due to the lack of human perception necessary to cover digital objects in the actual physical environment or understand the scope of human activities and their related impacts in the metaverse environment, the metaverse is essentially a problem of artificial intelligence.

Artificial intelligence seeks to create machines that can mimic human thought processes and actions, such as perception, reasoning, learning, planning, and prediction

These are the organic driving forces for artificial intelligence to close the feedback loop between the virtual world and the real world. For example, based on them, distributed finance, cryptocurrency, and blockchain are all aimed at integrating frictionless capitalism into the economy. Distributed applications and smart contracts require a better understanding of how financial operations interact with the real world, which is a challenge for artificial intelligence and machine learning to make this vision a reality.

Artificial intelligence is necessary for addressing climate change

As a society, we still have a lot of work to do in reducing the socio-economic risks brought about by climate change. The carbon pricing policy is still in its early stages, and its effectiveness is questionable. Artificial intelligence is essential for the practical application of many promising new concepts. A potential new strategy is a prediction market driven by artificial intelligence, which can link policies and impacts, and comprehensively understand environmental knowledge and interdependence.

Artificial intelligence will also change the future of healthcare

Since the decoding of the human genome, personalized healthcare has always been an ambitious goal. Sadly, it is still a wish. Creating personalized treatments for patients is an interesting new use of artificial intelligence. In addition, artificial intelligence will one day be able to synthesize and predict customized treatment methods in almost real-time without the need for clinical trials.

In other words, artificial intelligence is highly qualified to establish and evaluate the "digital twin" standards of personal biology, and can do so in the context of the community in which an individual resides.

What is the ultimate goal of artificial intelligence?

Artificial intelligence seeks to create machines that mimic human thought processes and actions, such as perception, reasoning, learning, planning, and prediction. One of the key characteristics that distinguishes humans from other animals is intelligence. The Industrial Revolution led to human labor being increasingly replaced by machines from various industries. The human resources that are about to be replaced by machine intelligence are the next major obstacle that needs to be addressed.

The research in the field of artificial intelligence is rich and diverse, as many scientists are paying attention to it. Search algorithms, knowledge graphs, natural language processing, expert systems, evolutionary algorithms, machine learning (ML), deep learning (DL), and other AI research fields are just a few examples. A insightful study has addressed this topic, called "Artificial Intelligence: A Powerful Paradigm for Scientific Research"

What industries will artificial intelligence change

Specifically, using data to train models to execute objective functions and often belonging to the category of deep learning or machine learning, "narrow artificial intelligence" has had an impact on almost all important businesses. In the past few years, the proliferation of connected devices, powerful IoT connections, and faster computer processing have led to a significant increase in data collection and analysis.

Although some industries have just begun their journey of artificial intelligence, others are experienced travelers. There is still a way to go for both. Anyway, it is difficult to overlook the impact of artificial intelligence on our daily lives.

Education: Artificial intelligence (AI) is used for textbook digitization, early virtual mentors support human mentors, facial analysis measures student emotions to better identify who is struggling or bored, and better adjust experiences to their specific needs.

Medical: diagnosing diseases faster and more accurately, accelerating and simplifying drug discovery, virtual nursing assistants closely monitoring patients, and big data analysis helping to provide a more personalized patient experience in the relatively young field of medical artificial intelligence.

Transportation and logistics: autonomous vehicle will deliver us one day, although they may take some time to develop.

Manufacturing: For limited operating ranges such as assembly and stacking, robots driven by artificial intelligence collaborate with humans to predict and analyze sensors to keep the equipment in good working condition.

Customer service: Last but not least, Google is developing an artificial intelligence assistant that can make phone calls that sound like humans to arrange dates. In addition to words, this technology can also understand context and subtle differences.

Media: The news industry is also utilizing artificial intelligence and will continue to do so. To help with reading

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