10 Best Technologies to learn In 2022 and their High Salaries

 

Technologies for 2022
Source: Forbes

Top 10 Technologies to learn in 2022

If you’ve been considering a career move in the information technology area but aren’t sure which path to take, you’ve come to the perfect spot. Welcome to the top 10 technologies to learn in 2022.

Technology has grown by leaps and bounds in the last 60 years, from a one-ton machine that could store 3.5 megabytes of data (IBM 350) to an SD card that can store two terabytes of data and weighs only two grams.

One thing that has stayed constant throughout this time is change. Technology changes every two to three years, and it is important for a technology expert to stay current in order to advance quickly up the career ladder.

1. Hyperautomation

Hyperautomation RPA plus Artificial Intelligence (AI):  Would you trust me if I told you that AI would be granted the same rights as humans in a few years? Have you heard about Sophia, a humanoid robot powered by AI with her own thoughts, emotions, and the ability to see and speak like humans?

                            Sophia a humanoid robot          Source: Pinterest

Saudi Arabia gave her official citizenship in 2017. Hyperautomation is the use of a combination of technologies such as artificial intelligence (AI), machine learning (ML), and automation (RPA) to automate as many business processes as possible.

According to business wire, 70 percent of robotic process automation (RPA) specialists expect to hire additional developers in the next year. According to Forbes, the use of artificial intelligence in several industries has increased by 270 percent in the last four years.

2. Cyber Security

We’ll go on to number 2, which is cyber security: Recently, cybercrime has increased; in 2021, Twitter was hacked and used to obtain Bitcoins. Do you see anything wrong with this? This is the US President’s Twitter account, which was hacked and from which this tweet was sent.

Cyber threats caused a total of $6 trillion in damages in 2021, making it the single worst economic disaster in history.

According to a report, cyber security spending in the health sector is predicted to reach 125 billion dollars by 2025. If you want to be a cybersecurity expert in the next six months, you need to start preparing now. 

3. Blockchain

Blockchain has been a buzzword for a few years now, and most people assume that its use cases are limited to cryptocurrencies. However, comparing cryptocurrencies to a blockchain is comparable to claiming that smartphones can only be used to make phone calls.

Blockchain is now used in industries such as health, insurance, finance, and many more; in fact, popular games such as Axi Infiniti now use Blockchain. According to a global survey conducted by Deloitte, 45 emerging disruptors have already used blockchain security. 

According to Gartner, the commercial value created by blockchain will significantly increase, reaching 176 billion dollars by 2025 and 3.1 trillion dollars by 2030.

4. Full Stack Development

According to Forbes, internet usage has increased by 70 percent in the last two years, indicating that more online businesses are likely to emerge in the near future. Even the United States government is looking for one but in an unusual way. 

If the White House isn’t your dream company, check their website code for a job application, there are 28 000+ full stack developer jobs on the job portal. The average salary of a full stack developer in the United States is 110,000 USD per annum, while in India its 8 lakhs INR per year.

 

5. Snowflake

Snowflake, a cloud data warehouse that takes data from a variety of software services and computer platforms, is a cloud data warehousing solution.

What differentiates Snowflake is its ability to skill compute and storage independently. Snowflake has over 4900 clients, including 212 Fortune 500 companies, with thousands of job openings on job sites.

In the United States, the average salary for a Snowflake Data warehouse engineer is $ 125 thousand per annum while In India, it is 15 lakhs per annum.

6. Edge Computing 

Edge computing refers to the activity of capturing, storing, processing, and analyzing the data close to the client rather than in a centralized data processing warehouse.

According to IDC, the worldwide edge computing market will be worth $250 billion by 2024. A cloud engineer’s yearly income in the United States ranges from 104, 000 to 147, 000 dollars. In India, the average salary is 12 lakh per annum and can reach 30 lakh per annum.

According to Indeed.com, 130 000 positions for cloud engineers are available in the United States, whereas 30 000 or more are available in India. Begin your path to becoming a cloud engineer today.

7. Internet of Behaviors (IoB)

Have you ever been in a position where you were discussing a product with a friend and then received an advertisement for that thing? This sort of marketing seeks to target the right person at the right moment with the right product, and you’re not alone if you’ve had similar experiences.

The Internet of Behaviors (IoB) is a field of research and development that aims to figure out how, when, and why people utilize technology to make purchases.

The internet of behavior, commonly known as IoB, is a term that refers to the analysis of behavioral data collected from IoT devices all around us, Alexa, Google, Homepod, and even Smartphones are examples of IoT devices.

According to Glassdoor, an IoT engineer’s salary in India can range from 5  to 16 lakh INR per annum, while the average yearly salary in the United States is between $110 000 and $140 000. There is no better time than now to begin learning IoT.

8. Predictive Analytics Data Science

Predictive analytics is a type of data analytics that uses historical data and analytics techniques like statistical modeling, machine learning, and business intelligence to make predictions about future outcomes.

Instead of simply knowing what has happened, the goal is to make the greatest prediction of what will happen in the future.

According to Forbes, the data science sector will increase at a rate of 28 percent each year through 2026. According to Gartner, 70 percent of organizations will use predictive analytics by 2025.

In the United States, the average yearly income for a data scientist is $110,000; in India, the average annual salary for a data scientist is 11 lakhs. In predictive analytics, there are numerous skills to learn.

9. DevOps

A compound of development (Dev) and operations (Ops), DevOps is the integration of people, processes, and technology to deliver value to consumers on a continuous basis.

DevOps is a mindset that promotes business value software quality and continuous improvement by changing your IT process and organizational structures. Netflix produced a suite of tools called Simeon Army to implement DevOps. These programs caused issues such as shutting down servers at random, causing latency issues across services, and so on.

This helps their team in developing fault-tolerant and scalable systems, ultimately assisting them in achieving the DevOps principles. Machine learning and data engineering workflows can also be automated utilizing the same DevOps concepts. MLOps and DataOps are the latest terms for the combination of machine learning and data engineering with DevOps.

The average salary for an MLOps or DataOps engineer in India is 9,00000 INR annually, whereas the highest salary in the United States is $110,000 dollars annually.

10. AI as a Service (AIaaS)

AI-as-a-service refers to AI tools that are sold as off-the-shelf solutions by third-party providers.

Have you seen the film, Superman? It’s a $300 million budget film that used expensive VFX to take out Henry Canville’s mustache, which he needed to preserve for his other film projects.

According to an article in “The Verge,” a college graduate was able to achieve the same effect using AI on a $500 computer. AI as a service was created to simplify and make AI available to everyone. As a result, anyone may now use AI without having to invest in expensive hardware.

According to Indeed.com, the United States has over 50 thousand job openings. According to Glassdoor, there are over 15,000 jobs in India. An AI engineer’s average pay in the United States is 120 000 USD, but in India, it is 10 LPA.

This was our list of the top trending technologies to study in 2022, but it’s not complete. I’d like you to make comments and tell us about technologies that you think will transform the world, and I’ll be sure to include them in future articles.

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