Top 4 AI Trends in 2021

Before the global epidemic in 2020, artificial intelligence (AI), and in particular the branch of artificial intelligence known as machine learning (ML), had penetrated almost all industries.

The Covid epidemic has affected many aspects of our business, but it has not diminished the impact of artificial intelligence on our lives. In fact, it has been revealed that self-teaching algorithms and intelligent machines have played a major role in combating this outbreak, as well as other issues that we may face in the future.

Certainly, artificial intelligence will remain a key trend in choosing technologies that change the way we live, work and play in our future lives. So here we have an overview of what we can expect during the reconstruction of our lives as well as a review of business strategies and priorities.

Intelligent Big Data Views and Analysis

During the Corona epidemic, we saw the urgent need to rapidly analyze and interpret data on the spread of viruses around the world. Governments, global health institutions, academic research centers, and industry have come together to develop new ways to gather and work with information.

Advances in technology are the main reason why this epidemic has not (yet) killed as many as the Spanish flu outbreak of 1918, which killed more than 50 million people. From advances in medical technology and standards of care to advances in communication technologies that make the spread of the disease more rapidly detected and penetrated. Over the next year, artificial intelligence will be added to the list of technological advances that will allow us to deal effectively with epidemics.

Work is also underway to develop artificial intelligence solutions to help combat the massive collection of medical data, such as cancer. Over the next year, we are likely to see the rapid adoption of artificial intelligence in many other areas of healthcare, not just viruses.

By developing our ability to use problem-solving with machine learning in this vast, global dataset, we can easily detect outbreaks, track links between infected people, enable more accurate detection, and predict future evolution of the virus. Create more effective and lasting vaccinations.

Automatic detection and prevention

We have already seen the use of drones in powerful countries like the United States, to at least test the possibility that they can be used to monitor compliance with social distancing guidelines. More advanced applications are being observed, such as drones capable of detecting the symptoms of Covid 19, such as high fever in crowded places. These systems use computer vision technology to analyze data captured by cameras on drones, alerting authorities to statistics and possibilities about the spread of the virus.

Another area of ​​growth is the use of face recognition technology provided by computer vision algorithms. Face recognition is used by the police to find those who do not comply with quarantine, as well as to track the movements of people who have symptoms in crowded places.

Jobs that have returned to the first place; Predicting Behavioral Transformation

The way we live, work and socialize is influenced by Covid 19. Although there is a steady trend towards digital in many aspects of society, this year we are witnessing a strong trend. Amazon sales in the second quarter of 2020 increased by 40% compared to the same period last year, because even those who avoided online shopping now have to re-evaluate their options.

Artificial intelligence tools and platforms are now available to help businesses understand how their customers are adapting to a new reality. Organizations that previously lagged behind in understanding digital business and communication channels have recognized the urgency of the situation and are rapidly grasping concepts such as behavioral analysis and personalization. The tools that enable organizations to access the technology themselves will increasingly increase in 2021 as small and medium-sized companies seek to build their competitive advantage.

Turn off the next pandemic before it starts

Most AI algorithms are designed to predict, and in relation to epidemics, they seek to build systems that can accurately predict when and where an outbreak will occur in the future. Toronto's BlueDot tool scanned 100,000 government and media data sources daily, and on December 31, 2019, issued a warning of a potential outbreak in Wuhan, China.

We can expect artificial intelligence research to make unexpected advances over the next 18 months that will increase our ability to detect and respond to the risk of a virus outbreak. However, this also requires continued global cooperation between governments and private industry. How this is done is likely to be influenced by global policies and regulators, as well as the development of technology. For this reason, issues such as access to medical databases and barriers to the exchange of international information will also be hot topics over the next year.


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