Artificial Intelligence in 2021

Artificial Intelligence is one of, if not the most, innovative technologies that has had a significant impact on the modern world. With frequent advances and researches done by scientists, engineers, and entrepreneurs trying to progress the subject, it is an idea that continues to reach a wider audience. 2021 appears to be a good year for AI research and breakthroughs that will change how we operate in the future years.

Machine learning, a form of artificial intelligence, was producing disruptions across businesses before the pandemic wrecked havoc in 2020. During the COVID-19 pandemic, however, it became clear that self-teaching algorithms and smart devices will play an important role in the ongoing fight against viral outbreaks and will continue to benefit our civilization in the future. Artificial intelligence technology is still a hot topic in our professional and personal lives. So, here’s a rundown of AI breakthroughs in 2021 so far.

AI Predicting Behavioral Changes and aiding marketing

As businesses closed physically, with the onset of the covid-19 pandemic, we all realized that going online was the only facet that was left for businesses to run in the fast growing automated world. Today we see a significant development in several AI tools, developed over the course of the last couple of years that help us in doing exactly that. Brands today, are employing several AI integrated tools on their websites to harvest the metrics, demographics, locations etc. of the users that visit their site; and then utilize this so called ‘big data’, in personalizing user experience. Moreover, we also see that this big data collected by several different companies may actually be useful in predicting general trends that users follow, and the general behaviour of a population. Businesses who had previously been hesitant to use digital platforms have realised the seriousness of the problem and the high demand of AI. As small and medium-sized firms prepare to establish themselves in the digital age, AI-tools that provide organizations with self-service access to this emerging technology of data harvesting will become more popular throughout 2021.

Analyzing and eliminating the threat of another pandemic

Researchers and scientists are striving to develop AI systems that can predict the future. These AI-powered epidemiological tools will be solely focused on developing systems that can effectively anticipate the timing and location of future outbreaks. In fact, the study has progressed so far that AI was responsible for the first alerts regarding the current coronavirus outbreak. When Toronto-based BlueDot issued an alarm about a potential epidemic in Wuhan, China, on December 31, 2019, its programme examined 100,000 official and media data sources on a regular basis. 6 months into 2021, we may anticipate further artificial intelligence advancements. However, this will necessitate worldwide cooperation between governments and private businesses. Global politics and the pace of technology advancement will have an impact on the outcome. As a result, concerns like as access to medical datasets for prediction and detection models, as well as hurdles to international information interchange, may become major subjects in the near future.

AI and Vaccine Development

A new vaccination often takes years, if not decades, to create. However, barely three months after the first reported cases, vaccine candidates to combat covid-19 were already starting human testing by March 2020. AI models assisted researchers in analysing massive volumes of data regarding coronavirus, allowing vaccine development to move at a breakneck pace.
The exterior proteins of a virus have tens of thousands of subcomponents. Machine learning algorithms can sift through this deluge of information and determine which subcomponents are the most immunogenic – i.e., capable of producing an immune response—and thereby guide researchers in designing targeted vaccines. Thus use of AI in vaccine development may revolutionize the way all vaccines are created in the future. Additionally, we may also see a increased investment of AI in the healthcare sector with more and more machine learning tactics being employed to simplify the manufacture of medication and treatment for patients. Moreover, the high long term return on investment with AI integrated technology will also motivate many countries to quickly start taking AI seriously for the benefit and welfare of their people.

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