Top 10 Latest Technologies in 2022

Top 10 Latest Technologies

It is clear that the technology of today will not change the career options for those who choose to work in IT. IT professionals need to keep learning and updating their skills in order to be able to match the job descriptions on the major job portals around the globe. It is all an important part of future technology. These portals clearly show that most jobs are related to the latest technologies. We will be discussing the 10 most recent technologies that can lead to lucrative career opportunities for aspirants. Let’s get to the point!

Top 10 Latest Technologies in 2022

1. Artificial Intelligence

Artificial Intelligence is a new trending technology. It ranks first in the top 10 most recent technologies in computer science in 2021. Artificial intelligence (AI) technology is machine intelligence. It’s as intelligent and smart as the human brain, and it reacts just like humans.

AI is a significant contributor to society today, such as virtual assistants like Siri, Cortana, and Google Assistant.

There are many opportunities for AI professionals around the globe. The salaries and wages available to them are extremely high. Paysa reports that the average annual salary for an Artificial intelligence Engineer is US$171,715.

Artificial Intelligence technology is also everywhere. It can be used for text mining, web mining, and banking. These are the main reasons it is still the most popular technology in 2021.

Also read: Artificial Intelligence: Increasing the Intelligence on AI Smartphones

2. Robotic Process Automation

Robotic Process Automation (RPA), another trending technology, allows us to automate business processes. RPA does not require coding or access to the database. It contains a list of commands that can be executed by bots according to a set of business rules.

These are the uses of RPA:

  • Performs various tasks
  • Automated report generation
  • Demonstrates the best of human behavior
  • Audits and validations of information
  • High-quality assurance

According to Indeed, RPA Developers earn an average of US$92,176 to US$98.472 per year. The lucrative career of an RPA Developer is, therefore, a good choice.

3. Internet of Things

Internet of Things (IoT), a system of interrelated computing devices and objects, digital machines or animals that has unique identifiers (UIDs), can transfer data over a network with no human-to-human or computer-to-computer interactions.

IoT technology has many applications. This technology is being used to develop the following:

  • Smart homes
  • Smartwatches
  • Smart cities
  • Connected cars
  • Digital health

IoT offers promising careers in terms of salary. According to Indeed statistics, the US average salary for IoT engineers is US$165.394 per year.

4. Intelligent Apps

Intelligent Apps are apps that make use of historical data. Real-time data from user interactions, as well as many other sources, to make predictions or suggestions.

Different AI components, such as Machine Learning, robotics, general intelligence expert systems, and NLP, are used in developing Intelligent Apps.

We use many Intelligent Apps in our day to help us manage our lives, including Siri, Google Assistant, and Alexa.

As mentioned, developing Intelligent Apps comes under Artificial Intelligence. The salary offered to Artificial Intelligence Engineers will therefore be similar.

5. 5G

5G is the fifth generation of mobile broadband. It goes beyond LTE mobile networks. This is a revolutionary technology that will improve our network connections. This will allow us to have faster, more stable, and more secure connections. We will soon have 5G mobiles.

These are just a few of the 5G network applications:

  • Better broadband
  • IoT
  • Healthcare advancements
  • Remote device control
  • Autonomous vehicles

Candidates must be skilled in technical skills to become 5G Telecom Engineers. They should also have a solid understanding of advanced technologies such as SON and mobile edge computing.

According to Indeed’s analysis, the average salary for 5G Telecom Engineers in America is US$49,327 to US$1043,396 per annum.

6. Machine Learning

Machine Learning is a set algorithm that identifies patterns in data and applies them to it. ML is a popular technology that uses data to find a problem and then solve it.

There are four types of machine learning:

  • Supervised learning
  • Unsupervised learning
  • Semi-supervised learning
  • Reinforcement learning

Machine Learning is used in everyday life.

  • Social media services
    Filtering email spam and malware
  • Support online for customers
  • Online fraud detection
  • Refine search engine results

According to Glassdoor statistics, the average salary for a Machine Learning Engineer in the United States of America is US$114K annually.

7. Blockchain

Blockchain technology is a completely new way to document data on the Internet. It is sometimes also called the distributed ledger tech (DLT). Blockchain records information that is distributed, but not copied. It can include any form of ownership, identity, transaction details, and so on.

These are the upcoming and most popular applications that will be developed for the following:

  • Messengers
  • Voting systems
  • Market prediction
  • Storage platforms
  • Games

According to Glassdoor, the average annual salary for a Blockchain Developer in America is US$76,526K.

Also read: Top 9 Private Cloud Computing Providers

8. Cognitive Computing

Cognitive Computing technology is integrated with certain concepts in Artificial Intelligence, such as Natural Language Processing (NLP), Machine Learning(ML), reasoning, speech recognition, and others that aid in human decision-making.

Below are some of the key features of this trending technology:

  • Interactive
  • Stateful
  • Adaptive
  • Contextual
  • Iterative

These are the advantages of cognitive computing:

  • Improved customer interactions
  • Accurate data analysis
  • More efficient business processes

These are the disadvantages of cognitive computing:

  • Adoption
  • Security
  • Lengthy development cycles
  • Management of change

Candidates must meet these criteria to become a cognitive computing engineer:

  • They should be able to build apps.
  • They must be more creative.
  • They should be well-versed in the most recent technologies.

We now come to the salary section. According to Glassdoor, the average salary for Cognitive Computing Engineers in America is approximately US$92,046 annually.

9. Augmented Reality/Virtual Reality

Virtual Reality is the next big thing. Virtual Reality is a modern technology that generates sounds and realistic images.

You can use it in two ways:

Augmented Reality can be used to enhance and create an imaginary world for entertainment and gaming purposes, such as 3D movies and video games. It can also be used to train the software, and allow people to work in real-life situations by creating a simulation that simulates reality. For example, flight simulators are for pilots.

Augmented Reality is a new technology that allows developers to create apps for mobile devices that combine digital components with real-world elements. It’s used in pop-out emails, text messages, and photos. It also displays score overlays for telecasted games and sports. We have more to offer!

10. DevOps

“DevOps” is a term for enterprise software development. It is derived from the terms “Development” and “Operations” of the software development cycle (SDLC). It is part of Cloud technology. DevOps, as the name implies, encourages collaboration, communication, and integration between the IT operations team, developers, and the IT staff to increase the speed and quality of software delivery. It is the result of agile software development.

Below are some of the benefits of DevOps technology.

  • Reliability
  • Scaling power
  • Rapid development
  • Fast delivery
  • Security

According to Glassdoor, the average annual salary for a DevOps Engineer in America is US$99,604K

Conclusion

The top 10 emerging technologies are the most promising and highest-paid among all of the technologies available to us. These technologies are the future of technology and have the potential to change job trends around the world.

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