Energy, Healthcare, Aerospace, Supply Chain and
Construction
Technological innovation world tide
There is no denying that AI is making huge strides in 2021.
Some experts pointed out that the key progress in the field of artificial intelligence in 2022 will not necessarily come from the technology itself, but more from the use and operation of technology.
In a recent report on the US "Forbes" biweekly website, it listed five areas where artificial intelligence and machine learning will have a major impact: energy, healthcare, aerospace, supply chain and construction.
energy
Artificial intelligence is already starting to play a major role in the digital transformation of the entire energy industry, and is expected to bear fruit in 2022, which will optimize operations and increase efficiency and sustainability.
For example, AI companies are creating and running decision-support software within major energy companies' refineries, designed to make timely, explainable recommendations that allow operators to bridge gaps in real time and maximize efficiency across operations.
Discussing the impact of artificial intelligence and other digital solutions on the industry, McKinsey & Company said businesses could increase productivity by 20 percent and reduce overall maintenance costs by 10 percent.
medical insurance
Another industry where artificial intelligence will “make a big difference” is healthcare.
From forecasting the momentum of the outbreak to the availability of medical resources to streamlining patient care, plans for AI applications launched in previous years will play a major role in 2022.
AI can help the healthcare sector deal with the "stubborn ailments" of operational inefficiencies currently plaguing the industry.
Advanced methods will have a huge impact on the industry, providing more comprehensive insights into its most valuable data.
As Diana Knoll, vice president and general manager of Nuance Communications Healthcare, mentioned in the article, "As healthcare organizations and researchers establish strong standards for the secure sharing of healthcare data, new AI collaboration Projects will drive smarter medical decisions."
Artificial intelligence and machine learning solutions that make large amounts of unstructured data more accessible to decision makers can help improve the accuracy of predictive analytics, simplify administrative operations, gain more informed process recommendations and improve the efficiency of patient screening. Greatly improve the operational efficiency of the entire industry.
Aerospace
Developments in the aerospace field have been closely intertwined with artificial intelligence, and NASA's Curiosity rover has been using artificial intelligence to explore Mars for several years.
Some experts will even say that space exploration is home to some of the most advanced artificial intelligence technologies.
Travis Bubenick of the U.S. Courts News Service noted in an article that "NASA has used artificial intelligence to help the Curiosity rover navigate, and is currently training the artificial intelligence system, which it hopes will be used in the upcoming The 'Mars Astrobiology' mission guides the rover to search for 'trails' of alien life in rock samples on Mars, an important step towards the ultimate goal of allowing more autonomous probes to explore further regions step".
Bubenik further noted that the AI system is trained to cut down on unnecessary data, which NASA will test when it sends a rover to Mars in 2022, with the goal of doing moons of Jupiter and Saturn on more distant planets in the future Used when flying missions.
And, over time, AI/ML solutions will become more innovative, and these technologies will become indispensable tools for deepening human understanding of the universe in the future.
supply chain
Currently, the global supply chain crisis has disrupted the global economy.
While this crisis won't be completely resolved for years to come, AI in 2022 should provide some relief.
Continued digital transformation of supply chain data and extensive sensor analysis, as well as more streamlined process automation and validation, all require AI recommendations and machine learning technologies that collaborate with decision makers.
The new levels of visibility provided by advanced AI tools will enhance people’s predictive power, thereby mitigating crises.
Adam James of consultancy ASCM Insights said: "The development of technology-driven Industry 5.0 (including more collaborative approaches and partnerships between humans and robots) will impact supply chain functions such as planning, demand management and Execution has a major impact. Continuing advances in machine learning techniques will also provide deeper insights for humans, enabling significant cross-sector collaboration.”
architecture
Powerful artificial intelligence will be in full swing in construction this year, digitizing processes and providing more valuable information to different agencies and organizations.
Predictive maintenance tools that leverage data from sensors and other functions can provide optimization scenarios—from streamlining documentation to providing better data-driven decision support for maintenance and long-term operation of industrial equipment, as well as remedial action in the event of an unforeseen situation.
In 2022, artificial intelligence will greatly improve the efficiency of the entire construction process.
MarketsAndMarkets said they expect the total market value of artificial intelligence in the global construction market to grow from $407.2 million in 2018 to $1.831 billion in 2023, with a forecast compound annual growth rate of 35.1%.
The use cases of artificial intelligence are endless: improving the efficiency and sustainable optimization of energy operations; improving the efficiency of patient screening; helping humans better explore Mars; helping better maintain industrial equipment, and even alleviate supply chain crises.
With the continuous enhancement of artificial intelligence functions, more people will integrate related technologies into their industries, and in 2022, the vigorous application of artificial intelligence in various fields will only mark the beginning of the "fantastic drifting journey" of this technology.