What to expect from AI and Big Data in 2021?

The artificial intelligence revolution is not a myth. As the New York Times predicts, by 2030, nearly 50% of work will be replaced by AI solutions. AI is directly related to big data, so we can clearly predict that these two fields will flourish in the future. But to make more scientific predictions and review modern trends, we must consider the history and development of these fields

The term “artificial intelligence" first appeared at a conference at Dartmouth College in 1956. This is the first attempt to describe our thinking as a symbol system. Nearly 50 years have passed since then-in 2005, the term “big data" was released. Obviously, the use of big data happened earlier. Let us use a concrete example to illustrate the relationship between these concepts. Imagine that there are hundreds of cameras running and recording video in a year. Here, big data and artificial intelligence, which help to process large amounts of data, go hand in hand.

One of the most productive IT trends is hyper-automation. Experts explain hyper-automation in different ways. The most famous concept is based on automated digital or intelligent processes. The main idea of this process is related to the statement that everything can be automated. This process is accelerated by the pandemic. Machine learning compares artificial intelligence solutions and robotic automation tools being used for hyper-automation. Modern technology helps the system respond to any changes in the process and start participating in new algorithms. Automated processes can completely replace manual tasks. In any case, hyper-automation cannot be a substitute for humans, it just frees humans from low-value and monotonous tasks. Therefore, they focus on the higher-value tasks of the organization. They are still involved in the digitization process, and automation technology is effectively handling scalable tasks

There are different advantages of hyper-automation:
❖ The growth of personnel productivity.
❖ The possibility to implement scalable and flexible tasks.
❖ Increased income and reduced costs.

Drones have been used to monitor whether people comply with social distancing rules. With the help of artificial intelligence, drones and special applications will help measure temperature and detect symptoms of COVID-19. They will use artificial intelligence-based computer vision algorithms to find individuals with higher body temperatures in a crowd. Another area where AI will be used is face recognition. For example, any person breaks the rules of quarantine. Modern technologies help to recognize this person and individuals with whom he or she had contacts. It’s a kind of breathtaking technology, but sometimes it can be perceived as a violation of personal boundaries. Anyway, due to the situation related to the COVID-19, the public becomes broad-minded and more tolerant. Therefore, the technology won’t be taken critically.

Social methods are influenced by Pandemic. Digital trends related to artificial intelligence are booming. According to Forbes, Amazon's sales in the second quarter of this year increased by 40% (compared with the same period last year). Artificial intelligence solutions and platforms play an important role in this process. The main purpose of modern enterprises is related to the realization of customer needs. After that, they still face the challenge of using digital channels and tools to satisfy customers. The main effort should be focused on the development of personalized tools and multilateral analysis. This analysis includes an evaluation of the user’s behavior. It can be used for any eCommerce platform, mobile application, or online game.

AI algorithms can predict a new wave of pandemics. Literary development helps to establish a system for analyzing the current situation. It is worth noting that the first alert was received before the large-scale spread of COVID-19. It happened last year. BlueDot's AI-based tool in Toronto analyzes data from different sources and understands the critical situation in Wuhan.

The development of AI algorithms that help to detect new outbreaks is useful for the government, businessmen, and all mankind in general. Such an alert helps to respond rapidly by taking preventive measures. However, another goal is to build a system related to rapid information sharing. It can also help to be efficient in the prevention of the new wave of COVID-19

AI solutions are popular, but they are still not always available for simple devices from smartphones to vehicles without the need to send data to the cloud and back. Software engineers are committed to solving this problem. One of the reasons it is not the most literate decision is the fragility of the data. In the future, experts will increase the autonomy of applications so that they can run without a permanent Internet connection. Huang Renxun from Nvidia said that the future of artificial intelligence lies entirely in smart sensors that can be connected to computers. It saves power, speeds checkouts, and arranges traffic.

It sounds weird but the demand for ethical Artificial Intelligence rises. New digital products based on AI solutions shall comply with ethical standards. Nowadays more attention is paid to these peculiarities of AI because they can impact the future of humanity. We should think about the risks and ways that help to avoid them. The main items that should be analyzed are:

❖ Privacy
❖ Responsible decision making
❖ Interactions between robots and humans
❖ Machine ethics
❖ Bias and opacity
❖ Surveillance

The technology GPT-3 that was presented in summer 2020 is a language model that is based on Artificial Intelligence. GPT-3 has all possibilities to mesmerize anybody. It forms new possibilities for NLP. GPT-3 can generate code, write poems and even fully-fledged articles. Therefore, such Transformers based on AI are becoming more efficient. In recent years they will learn natural language.

❖ Privacy
❖ Responsible decision making
❖ Interactions between robots and humans
❖ Machine ethics
❖ Bias and opacity
❖ Surveillance

The various innovations related to AI and Machine Learning will appear in a few decades. Let’s review the main developments in different areas:

Autonomous cars They are already developed but not widely distributed. Noteworthy that there are five levels of autonomy. Car manufacturers have reached the third level. Though, a lot of work should be done in the future. A fully autonomous car is a new reality for the area of transportation. The biggest companies – Tesla, Volvo, Audi, Mercedes-Benz – work in this direction.

Healthcare Thanks to AI and Big Data, any disease is diagnosed more quickly. The virtual assistant can monitor patients. Big Data is used here for detailed patient experience.

Robots for the industrial sector.

Education New kinds of digital tutors and textbooks are processed with AI instruments. The same set of instruments can be used for other aims. For example, with the help of AI teachers can better understand the emotions of the children and rid them of the routine work, namely: checking homework, preparing plans, or producing tests.

Media industry Here AI helps to prepare financial and other reports.

Client support Google works on an assistant that is based on AI solutions and able to replace the human-like call for making an appointment. This system will understand not only words but the general context.

As AI is directly linked to Big Data, let’s consider what will happen in the area of unstructured and structured information in 2021. A strong need for big data will assist in various trends.

Climate change is not a new issue for scientists. This issue has attracted widespread attention after the Swedish environmental activist Greta Thunberg issued a statement to world leaders. Big data received from different sources (meteorologists, scientists, marine or nuclear researchers) can be used to analyze changes

Cloud technology helps to access applications from anywhere. Big data analysis in different fields, including business, will be used not only by experts, but also by managers and other employees. This means that many people will have basic knowledge of data science. However, analysis can be run from various devices,

Natural language processing can help provide business insights. It is called sentiment analysis, which can show the customer's attitude towards a brand or product in depth. To receive this analysis, the developer should provide the system with big data retrieved from the repository

As you can see, AI and Big Data are real up-and-coming areas that are developing very intensively