Once a buzzword in the digital world, AI has become a part of our daily life. Starting from Siri, Alexa, Google Assistant to Ola and Uber, many AI-powered services are available today to ease our lives. The current pandemic situation has impacted business models, but it didn’t hamper the impact AI has on our lives and businesses. On the other hand, it has become apparent that AI, with its learning algorithms, will play an essential role in evolving businesses in 2021.
Businesses have rapidly started leveraging the potential of AI. Companies such as Microsoft, Google, Amazon have flourished dramatically due to the incorporation of AI for prediction, adapting to the changing market conditions, and producing a profit. Many companies are already gaining benefits from their early investment in AI. Many have begun incorporating AI to use the enormous amount of data produced every day.
Artificial Intelligence has indeed been a critical trend in choosing the technologies that will alter how we live and work in the coming future. Here’s a summary of what we can expect, what will be a year of revamping our lives and reconsidering business strategies and priorities.
Top 4 Trends in AI for 2021
Logical Big Data Analytics & Insights
We’ve witnessed an urgent need to quickly evaluate and interpret data on the spread of viruses worldwide during this pandemic situation. Global health centers, governments, industries, and academic research centers have got together to build new ways that information can be gathered, combined, and worked with.
Technological development is the primary reason that Covid hasn’t killed many people. For instance, the Spanish Flu outbreak in 1918 has claimed to kill up to 50 million lives, from development in the medical tech field and standards of care to development in communication technology that let the outbreak spot more quickly and thus lockdowns imposed.
In the coming year, Artificial Intelligence will be added to the technological development list that allows us to deal with pandemics successfully.
The advancement in the scientific and medical literature is massive, with over 28k papers published by April this year regarding Covid-19. A dedicated search engine enabled by natural language processing algorithms is already available, so anyone can get AI help when investigating this enormous dataset.
Work is ongoing to build AI solutions to help deal with the significant backlog of other medical problems like cancer, where treatment has been impacted as resources are diverted to fight the pandemic. In the coming year, we are most likely to witness the fast-track adoption of Artificial Intelligence across several healthcare areas, not just related to handling viruses.
By building an ability to implement machine learning troubleshooting to these enormous, real-time global datasets, we will identify outbreaks more efficiently, track contact between infected people, facilitate more accurate diagnoses, and forecast how a virus might grow in the future, build more effective and lasting vaccinations.
Automated Detection & Prevention
Most of us have already witnessed the use of drones in many jurisdictions, including the states, to at least the possibility that they can be used to supervise whether social distancing norms are being complied with. More advanced uses are on the horizon, like drones, to detect Covid symptoms like the extreme temperature in individuals within a crowd. These systems utilize computer vision technology to evaluate data captured by cameras on the drones and inform authorities of statistics about the virus spread.
The use of facial recognition technology powered by computer vision tech will be another growth area. It focuses on recognizing individuals instead of patterns among groups of people; police have used facial recognition to spot lockdowns and quarantine-dodgers and track the individual movements displaying symptoms within a crowd.
The evidence seems to recommend that the public has become more open-minded of surveillance tactics that would earlier have been considered overly severe because of the health risks posed by the virus. This open-mindedness is to be examined over the coming 18 months as technologies become more proficient at AI-enabled surveillance and imposition.
Forecasting Behavioral Transformation
The way we live and work has been highly affected by the Covid-19 outbreak. While there has been a stable and strong trend towards digitalization in many aspects of society in 2020, we observed a panic. Amazon’s sales in the 2nd quarter of 2020 were 40% up on the same period the previous year; also, those who have neglected online retail was compelled to re-evaluate their options.
AI platforms and tools are in place to help companies understand the way their clients are embracing the new normal. Businesses that were earlier lagging in their upgrade of digital platforms for commerce and relationship nurturing have now understood the need of the situation and are swiftly getting to grips with concepts like behavioral analytics and customization.
Tools rendering companies with self-service access to this innovation will become widespread throughout 2021, as small & medium businesses are looking to build their competitive advantage.
Putting an End to the Next Pandemic Before it Begins
Several AI algorithms are adjusted to forecast, and the AI-enabled epidemiology will develop systems that can precisely predict when and where future outbreaks will occur. This research has been going on for a while, and some of the earliest alerts about the current outbreak were produced by AI. BlueDot, a Toronto-based tool, was already examining 100k governmental and media data sources every day when it issued an alert about a possible outbreak in Wuhan, China, in December 2019.
In the coming years, we can expect Artificial Intelligence to yield further breakthroughs that will increase our capacity to identify and react to the danger of viral outbreaks. However, for this to take place, it will also need continuous global cooperation between private industry and governments. The way this plays out will mostly impact global politics and legislators, and of course, technological development. Due to this, issues like access to medical datasets and obstacles to the international exchange of information will be trending over the coming years.
Author Bio:
Harnil Oza is CEO of Hyperlink InfoSystem, a top app development company in USA and India, having a team of the best app developers who deliver the best mobile solutions mainly on Android and iOS platforms. He regularly contributes his knowledge on leading blogging sites lik top app development companies.
