The world is changing rapidly, putting before us tasks for which it is necessary to find new and new ways. Humans’ efforts alone are no longer enough because big bets are placed on artificial intelligence, which already solves various problems of humankind intensively.

At the moment, we see how rapidly information technologies evolve, the Internet of Things floods the technological space, transforming it significantly. It seems, soon we will face the need to install antivirus solutions on our gadgets, like smartwatches or fridges. These fantasies may come true in the near future, and who knows, maybe, you will need to check on Avast Internet Security review to make a decision and install some solutions on the devices you have.   

AI to Solve Global Issues: 2030 Perspective    

At the recent WEF, areas in which AI is intensely integrated have been voiced. By 2030, experts promise, in all these spheres, there will be a full presence of artificial intelligence created to change people’s lives for the better.

AI and Poverty

One of the main problems for today is poverty that gained overwhelming scales. However, AI means for dealing with this task is upcoming. First and foremost, AI is up to conducting advanced demographic data analysis. For example, AI can analyze satellite-derived photographs of “poverty-stricken” territories. Since street lighting is a universal indicator of the level of economic development, AI can analyze images of the night Earth. Scientists also intend to develop an AI model for analyzing the spread of cellular communication because it is another reliable indicator of well-being.

AI can also be applied to creating a digital footprint for easy access to credit/mobile money. Besides, with the help of AI, blockchain-enabled crowd-finance can be transferred to charitable organizations safely and under strict control. Lastly, AI can be implemented in the financial market early-warning system that will help to deal with possible financial crises.   

AI and Hunger

Nowadays, AI is widely used in this industry, from sensors that track the health of cows in the herd to robots collecting fruits and vegetables. The population of the planet continues to grow, and therefore AI should help specialists grow more affordable and clean food.

AI is able to determine the optimal amount of food to order or buy so that as few products as possible are in the trash can. Such a solution is useful not only for restaurants and supermarkets but also for ordinary customers. AI can also solve the problem of food supply, being integrated into disaster risk insurance products. It also can find its use in weather forecasting for better agricultural management and increasing further yields. 

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AI and Health

AI also provides an opportunity to assess the impact of medicines on the human body, helping doctors to understand how the genetic structure of the patient affects the course of the disease, and what effect the new drug can have. With AI-based applications, the doctor receives and analyzes the patient’s body data, and based on this, selects an effective course of treatment. Moreover, AI can be used for the prediction of possible epidemic/pandemic spread, thus, helping to create an effective strategy and minimize infection risks.

What is more critical, AI will be able to deal with patients’ antibiotic resistance. For example, AI can analyze this microbial resistance to create a more effective treatment and develop new types of antibiotics. 

AI and Education

AI is able to select educational content based on human needs and characteristics individually. The algorithm can provide personalized suggestions on topics and areas to focus on in order to achieve better results.

Besides, AI can support the technical aspect of the educational process. For example, implement the AI-driven assessments to ensure constant feedback and create digital curriculums to synchronize them with all devices.

Last but not least, AI will be useful in better plagiarism detection to guarantee overall academic honesty. 

AI and Clean Water

AI can enable complex processing of signals from different sections of the piping system to ensure their safety and effective work. AI-driven algorithms will allow identifying potentially dangerous areas utilizing singular spectral analysis of audio signals. The main highlight of such a system is the detection of even the smallest holes that cannot be localized by conventional detection methods, and through which water flows for years.

Software with machine learning-based AI elements to assess the condition of pipes is a better development strategy than just robotics. AI can analyze thousands of miles in hours, becoming an extremely cost-effective solution. Overall, AI will provide a precise analysis of water infrastructure risks and performance.

AI and Energy

In the field of energy, AI will play a significant role. It will complete prediction tasks (use of artificial intelligence algorithms to predict power generation and consumption, optimization of equipment operation, etc.) and set energy efficiency objectives (in terms of monitoring actual energy consumption data). Examples of the use of artificial intelligence algorithms in prediction tasks are enough today. The dependence of renewable energy on weather conditions has greatly increased the need for accurate forecasting. Moreover, AI will be responsible for intelligent tasks (processing the results of monitoring the state of energy objects, algorithms of operation of the smart house, load management, etc.).

AI and Economic Growth

Artificial intelligence is seen as a tool to stimulate economic growth and form a new investment cycle in the global economy that can overcome protracted stagnation. AI can be used for analysis to improve economic predictions and monetary and fiscal tools. Also, it can ensure the transparent and safe inventory management to evolve purchasing power. Organizations can also apply AI to create reliable remote work platforms to mobilize the workforce and control their work. 

AI and Cities

The growth of the urban population has led to transport collapse in cities, and the burden on all urban services has increased many times: health care, housing, and communal services, etc. Solutions were required to transfer most of the management burden to computers that is to make the urban economy as automated as possible and the city “smart.”

Of course, the first step in turning the city into smart is to collect new and better data. They enable analytical methods, including predictive analytics, to solve problems that occur. The task itself is not easy, so helping cities collect and process data is one of the areas in which artificial intelligence is currently used.

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Bottom Line

Looking in the future might seem frightening. However, people have AI by their side that can deal with global problems and transform humans’ lives to better. 

70 years ago, interplanar travel and human landing on the moon seemed like crazy ideas. The same is true of creating strong AI now. It is not possible under the current conditions, but the development of semiconductor technologies, quantum computing, and the interest of scientists in studying this topic give us good prospects for creating AI in the nearest 15-20 years.