‘Artificial Intelligence’ Trends to Watch Out for in 2021
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- newsfeedadmin
- December 3, 2021
- Economy Technology
Introduction
The Covid-19 pandemic has transformed daily lives across the globe. Multiple industries have been hit and life has become difficult for the vast majority of people. On the other hand, a few areas have benefited from the situation. Artificial Intelligence (AI) has been shown to impact numerous aspects of human lives. AI-powered solutions are undoubtedly one of those areas gaining momentum in 2021 as it is geared towards the future. Let’s take a look at 10 latest trends in AI that are accelerating digital transformation in this era.
- AI-Powered Cybersecurity
Data at individual and organizational levels will be much more available in the coming years. It will be a Herculean task to safeguard the data from the attacks of hackers and anti-social elements. Malicious activities can be thwarted by advanced cybersecurity measures powered by artificial intelligence. A rise in the number of solved cybercrimes point to the simultaneous growth achieved by AI cybersecurity and data breach.
- AI-Assisted Data Structuring
Natural language processing and machine learning approaches are combined for organizing unstructured data. Such technologies can be used by large companies for generating data to be used by Robotic Process Automation (RPA) for automating transactional operations. However, RPA works only with structured data, which is a major disadvantage of this technology. AI helps to structure the data before it is fed to RPA, enhancing performance.
- AI Chatbots
Automated chatbots have been used by many businesses for quite some time. Advanced versions of AI chatbots take customer service automation to a totally different level. Conversational AI chatbots have started to learn better and understand clearly while communicating with customers.
- Intelligent Automation
The ongoing pandemic situation catalyzed shifting automation priorities from front-end processes to back-end processes. Digital process automation and robotics are combined in Intelligent Automation with practical applications of AI. Companies can grow their operations and at the same time stay competitive and robust. AI aided business process redesign eyes at achieving optimum efficiency.
- Quantum AI
As more companies are showing interest to implement the technology in supercomputers, Quantum AI is all set to be in rapid action. Quantum computers use quantum bits to tackle problems much faster than conventional machines. Large volumes of real time data can thus be processed and analysed. Specific patterns can be predicted rapidly. This has far reaching practical implications in healthcare and banking sectors.
- Robotic Process Automation (RPA)
RPA is a revolutionary AI system that is used to make repetitive tasks automatic. RPA effectively executes repetitive high-volume processes without mess. This technology can repeat the process multiple times a day. It saves a lot of productive human hours that can be channeled into other critical areas.
- AI in Healthcare
Artificial intelligence is used in the healthcare sector for data analysis and outcome prediction. Insights to human health are produced implementing a combination of AI and machine learning tools. Disease prevention measures can be advised by AI supported healthcare systems. AI further assists in telemedicine and remote care, an area seeing immense growth in recent years.
- AI with the Internet of Things
AI, when combined with the immense power of the Internet of Things (IoT), can offer powerful business solutions. Automation domain has yet to explore the significant changes that can be brought by the convergence of these technologies.
- Facial Recognition
This is one area seeing rapid growth with practical applications in 2021. AI makes use of biometrics for identifying facial characteristics from images and videos. The technology then compares data with a pre-existing database for recognition.
- Edge Computing
Daily data is converted into actionable insights by businesses using edge computing. Edge computing provides servers and storing data solutions for applications and computers to ensure hassle-free operations. At the same time, they make real-time data processing far more efficient than cloud computing.
Conclusion
The world that we live in today has developed brilliant technologies helping in the betterment of humanity. Our technologies evolve over time and get updated for the common good. Artificial Intelligence is one such technology creating a huge impact on our daily lives, affecting our thinking, decisions and actions. Not just the developments mentioned here, but also many more in the near future will power AI to make the world a better place to live in.
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