The Top 10 Most Popular Technologies

The Top 10 Most Popular Technologies

You’ve come to the correct spot if you’ve been considering a career move in the IT profession but aren’t sure which path to take. Edureka’s Top 10 Trending Technologies to Master in 2022 is now available.

In the last 60 years, technology has advanced at a breakneck pace. From a one-ton machine that could hold 3.5 MB of data (IBM 350) to an SD card that can store 2 Terabytes of data, we’ve come a long way. and weights just 2 grammes.

During this time, one thing has remained constant: change. Technology advances every 2-3 years, and it is vital for a technology worker to be up to date in order to grow swiftly in their profession.

Let’s get started talking about the hottest technology in 2022.

The Top Ten Most Popular Technologies:

HyperAutomation:

Would you believe me if I informed you that in a few years, AI will be awarded the same rights as humans? Have you hearing about Sophia? It’s already occurring. She’s a humanoid robot with artificial intelligence. She has her own ideas, feelings, and the ability to see and talk as humans, and she was awarded legal citizenship in Saudi Arabia in 2017.

HyperAutomation is the practise of automating as many business activities as possible using a combination of technologies such as artificial intelligence (AI), machine learning, and automation technologies such as Robotic Process Automation (RPA).

According to business wire, 70% of RPA professionals expect their company to recruit additional developers in the coming year. According to Forbes, the usage of AI has increased by 270 percent in numerous commercial areas during the previous four years.

Cybersecurity:

Cybercrime has skyrocketed in recent years. In 2021, Twitter was tried to hack and Bitcoins were obtained. Is there anything you don’t like about this?

This is the president of the United States’ Twitter account. This message was posted from it after it was hacked.

Cyber attacks caused $6 trillion in losses in 2021 alone, making it the single greatest economic disaster in history.

Cybersecurity is estimated to grow to $125 billion in the health industry alone by 2025, according to a survey.

Full Stack Development:

Internet usage has surged by 70% in the last two years, according to Forbes. This obviously opens the door for increased internet commerce in the foreseeable future. Even the USA¬†government is on the lookout for one, but in an odd manner! If you go to www.whitehouse.gov and look at the code, you’ll find a job application concealed there!

If Whitehouse isn’t your dream firm, there are over 28000 Full Stack Development jobs on Indeed. A Full Stack developer’s annual income in India is 8 lakhs, while it is 110,000 dollars in the United States.

Blockchain:

For a few years now, blockchain has been a buzzword. People sometimes assume that Blockchain’s applicability are limited to Bitcoin.

Comparing cryptocurrencies to Blockchain, on the other hand, is equivalent to claiming that smartphones can only be used to make phone calls. Blockchain is being used in a variety of industries, including health, insurance, finance, and many more. In fact, famous games such as Axie Infinity are now using Blockchain!

According to the Delloite Global Survey, 45 percent of rising disruptors have indeed implemented blockchain.

Snowflake:

Snowflake is a cloud data warehousing that collects information from many applications, services, and computer platforms. The flexibility to grow computation and storage separately is what sets Snowflake apart! Snowflake has more 4,900 subscribers, including 212 Fortune 500 businesses and tens of thousands of job vacancies on its job boards. Snowflake Datawarehouse Engineers earn an average of 15 lakhs per year in India and 125,000 dollars per year in the United States.

Per the Gartner, blockchain’s financial value will skyrocket, hitting $176 billion in 2025 and $3.1 trillion in 2030.

Edge Computing:

Edge computing is the technique of gathering, storing, processing, and analysing data close to the client, rather than in a centralised data-processing warehouse, where the data is created.

The worldwide edge computing industry is expected to reach $250 billion by 2024, according to IDC. In the United States, a cloud engineer’s yearly salary varies from $104,000 to $147,000. In India, it starts at 12 LPA and may rise to 30 LPA.

According to Indeed.com, there are 130,000 job openings for Cloud Engineers in the United States. Cloud Engineers are in high demand in India, with over 30,000 positions open.

Internet of Behaviors:

Have you ever been in a position where you’re discussing a product with a buddy and then get an advertising for the same same?

Targeting the right individual at the right time with the appropriate goods is the goal of this sort of marketing!

The Internet of Behavior, or IoB, is a term that refers to the study of behavioural data collected from IoT devices all around us. Alexa, Google Wireless sync, and even your smartphone are examples of IoT devices.

By 2023, Gartner predicts that around 40% of individuals will be monitored by IOT devices. An IOT engineer’s pay in India might range from 5 LPA to 16 LPA, according to Glassdoor.

Analytics Predictive:

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

According to Forbes, the data science sector will increase at a rate of roughly 28% per year until 2026. Predictive analytics will be used by 70% of enterprises by 2025, according to Gartner.

In the United States, the average yearly income for a Data Scientist is 111,000 dollars, whereas in India, the average annual compensation for a Data Scientist is 11 lakhs.

Devops:

Devops is a way of thinking about how to improve your IT processes and organisational structures.

  • business value
  • software quality
  • And continuous improvement

Netflix designed the Simian Army as a set of applications to help them deploy Devops. These apps produced problems like randomly shutting down servers, purposely causing latency difficulties across services, and so on. This aided their team in developing fault-tolerant and scalable systems, allowing them to follow the Devops principles.

Machine learning and data engineering workflows may both be automated using the same Devops techniques. The current terminology for the merging of machine learning and data architecture with devops are MLOps and DataOps.

AI as a service:

Have you seen the film Superman? The film has a $300 million budget. It employed pricey VFX to take remove Henry Canvil’s moustache, which he needed to preserve for his other film productions.

According to a Verge storey, a college graduate was able to accomplish the same effect with artificial intelligence on a $500 PC!

AI as a service was created to make AI more accessible to everyone. As a result, anybody may now utilise AI without having to invest in pricey gear.

According to Indeed.com, the United States has over 50,000 job openings. Similarly, there are around 15000 jobs in India. The average salary for an AI Engineer in the United States is $120,000, and it is therefore 10 LPA in India, per the Glassdoor.

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