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  • Sanchita Bhat, Marketing Manager

Top 10 Artificial Intelligence Trends in 2021

In the 21st century, it is no exaggeration to say that progress is synonymous with artificial intelligence (AI). The world has embraced the remarkable features of AI in its day-to-day functionality – be it about the companies upping their ‘machine learning algorithm’ game or us talking to our phone assistants in need (…well, loneliness, too, sometimes). We are genuinely using AI more than we know, and it will soon be present in all things we do daily.

Top 10 Artificial Intelligence Trends in 2021

In a very technical language, AI is the simulation of human intelligence in machines made to think like human beings and mimic their actions. It includes numerous things such as natural language processing (NLP), machine vision, expert systems, and speech recognition. There are primarily four types of AI:

  1. Reactive machines

  2. Limited memory

  3. Theory of mind

  4. Self-awareness

AI in 2021 has been an emerging picture when words such as ‘automation’ and ‘innovation’ are used as a commoner’s vocabulary. The AI trends in 2021 include AI in the industry, AI ethics, and the Internet of things (IoT) among many others.

Top 10 AI Trends in 2021:


1. Ethical AI


Many tech giants are now building ethical AI to follow an ethical framework with the four essential principles for effective data governance – accountability, fairness, explainability, and transparency. In addition to its transparency in providing a peep into its system, these companies are initiating multiple programs and research, ultimately encouraging smaller companies to adopt ethical AI for their businesses.


2. Explainable AI


Explainable AI, a part of ethical AI, explains in detail the functioning of AI models and machine learning algorithms working together to generate business insights and predict future requirements. AI models are set to turn more explainable by becoming transparent to the stakeholders.


3. Predictive Analytics


Predictive analytics uses machine learning to predict outcomes using historical data collected over a long period. This feature helps all kinds of businesses to identify the various trends of consumers and help companies understand customer behavior. Companies rely on predictive modeling as predictive analytics help predict their target audience's potential answers/responses by employing personalized data.


4. Emotional AI


A subset of AI, emotional AI, or affective computing occupies the place as one of the most popular and significant AI trends in 2021. Emotional AI measures understand, simulates, and reacts to human emotions. A major advantage of emotional AI is that it can understand consumer behavior through verbal and non-verbal signs – and can thus be used across the fields of advertising, call centers, mental health organizations, and more.


5. AI with AR and VR


AI with augmented reality (AR) and virtual reality (VR) is a promising trend with its immersive experience offered to companies and individuals. This combination of the three evolving technologies caters to our future needs, transforming the relationship between the customers and the companies by making demand and supply more personalized and tailormade.


6. AI in Robotics


The presence of AI in robotics makes them smarter, efficient, and intelligent enough to perform crucial tasks with a human-like vision to respond to situations in different scenarios. It is a powerful combination that can cost-effectively enhance customer service. Various functions are integrated into robots like computer vision, motion control, grasping the objects, and training data to understand physical and logistical data patterns and act accordingly.


7. AI in Cybersecurity


As AI reaches new frontiers, frameworks are created to ensure the accuracy and safety of data. AI improves its knowledge to understand cybersecurity threats and cyber risk through machine learning and deep learning techniques. The integration of AI in cybersecurity has created a more advanced and powerful defense as it goes deep into the data and detects threats early.


8. AI in IT


Resulting from the ongoing COVID-19 pandemic, the IT sector has been focusing on AI functionalities more than ever before. Not only did the world adapt to new ways of working, but it also incorporated the latest technological tools and features for boosting productivity and performance. So, AI appears to have revolutionized the IT sector on all grounds – from security to protect essential data from threats and data breaches to predicting and solving various complex problems.


9. AI in Computer Vision


Since the integration of AI in computer vision, the face of the conventional computer system has changed entirely with the intelligent systems in the picture. Smart computers can track humans and vehicles to collect data, analyze human movements and postures, and many other things.


10. AI in IoT


With the anticipation of the 5G network becoming a part of the upcoming functionalities in most domains of work, AI shows immense potential in the field of the IoT. As AI becomes more prevalent in the IoT area, it can assist smart devices in analyzing data and making intelligent decisions based on the acquired data – without human interaction.


It is evident that AI’s roots are spreading across sectors and are reshaping the present world with a promise to revamp the future as it was once foreseen. With these compelling and innovative trends, comes the great responsibility of using them wisely and ethically. So, we must embrace these trends and chart their performance in 2021 and beyond, which can be a determinative time for the future of AI.


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