Top 8 Technology Trends for 2020

Technology is advancing so fast that annual trends forecasts may be outdated before they can be published as a published blog post or article. As technology evolves, it leads to rapid change and progress, which accelerates the rate of change, until, ultimately, its value increases.

Technology-based careers don’t change at the same pace, but they do grow, and IT professionals recognize that their roles will not be the same. And a 21st century IT worker will continue to learn (out of necessity if you don’t want to).

What does this mean for you? That means staying up to date with technology trends. And that means looking to the future, knowing what skills you need to know and what kind of jobs you want to be eligible for. Here are eight technology trends you should look at in 2020, and some of the jobs that will be created by these trends.

  1. Artificial Intelligence (AI)

Artificial intelligence, or AI, has already gained momentum in recent years, but the trend is still to be seen because its effects on our survival, work and play are only in the early stages. In addition, other branches of AI have been developed, including machine learning, which we will go down. AI refers to computer systems that mimic human intelligence and perform tasks such as identifying images, speech or patterns, and making decisions. AI can do this faster and more accurately than humans.

Five out of six Americans use AI services daily in one form or another, including navigation apps, streaming services, smartphone personal assistants, ride-sharing apps, home personal assistants, and smart home devices. In addition to consumer use, AI is used in many other money-saving tasks, such as scheduling trains, assessing business risk, predicting recovery, and improving energy efficiency.

AI is part of what we call massive automation, and automation is a hot topic because of the potential job loss. Experts say automation will eliminate 73 million more jobs by 2030. However, automation is creating jobs as well as eliminating them, especially in the AI ​​sector: pundits predict that by 2020, the number of jobs in AI will reach 23 million. Jobs will be created in growth. , Programming, testing, support, and maintenance, to name a few. The architect of artificial intelligence is one such work. Some say it will soon compete with data scientists in the need for skilled professionals. For more information on potential jobs in AI, read About Creating a Career in AI, or Why You Should Get AI Certification.

  1. Machine learning

Machine learning is a subset of AI. With the help of machine learning, computers are programmed to learn to do something they don’t program: they learn from data by discovering patterns and insights. In general, we have two types of learning, which are not supervised and supervised.

Although machine learning is a substitute for AI, we also have sub-sets within the domain of machine learning, including neural networks, natural language processing (NLP), and deep learning. Each of these offers an opportunity to master a career that will only progress.

Machine learning is rapidly being deployed in all types of industries, creating a huge demand for skilled professionals. The machine learning market is expected to grow to $ 8.81 billion by 2022. Machine learning applications are used for data analytics, data mining, and pattern recognition. At the end of the day, machine learning gives users the ability to detect web search results, real-time advertising, and network intrusion, which they can.

In addition to completing countless tasks on our part, it is creating jobs. Machine learning jobs are added to the emerging jobs on LinkedIn, with about 2,000 job listings published. And these jobs pay off well: in 2017, the average salary of a machine learning engineer was 6,106,225. Machine learning jobs include engineers, developers, researchers, and data scientists.

  1. Robotic process automation or RPA

Like AI and machine learning, robotic process automation, or RPA, is another technology that automates jobs. RPA is the use of software to automate business processes such as interpreting requests, processing transactions, handling data and replying to emails. The RPA automatically automates the tasks that people used to do. These are not just the simple tasks of a low-wage worker: up to 45% of the activities we do can be automated, including the work of financial managers, doctors and CEOs.

Although Forrester Research estimates that RPA automation will jeopardize the livelihoods of 230 million or more academic workers or about 9% of global employment, RPA is also creating new jobs by shifting to existing jobs. McKinsey found that less than 5% of professionals

  1. Edge computing

At first glance, technology is a technology trend, cloud computing has become mainstream, with major players such as AWS (Amazon Web Services), Microsoft Azure and Google dominating the cloud market. Adoption of cloud computing is still growing, as more and more businesses move to cloud solutions. But technology is no longer emerging.

As we increase the amount of data, we have in some cases realized the shortcomings of cloud computing. Edge Computing is designed to help solve some of these problems by avoiding delays in retrieving data in a data center for cloud computing and processing. It can be “on the edge”, if you want, where computing needs to be. For this reason, Edge Computing can be used to process time-sensitive data in remote locations that have little or no connection to a central location. In these cases, Edge Computing can act as a mini data center. Edge computing will increase with the use of Internet of Things (IoT) devices. By 2022, the global edge computing market is expected to reach 6.72 billion. As with any growing market, this will create a variety of jobs, primarily for software engineers.

If you want to fully understand the meaning of Edges, and how it differs from cloud computing, read it here!

V. Virtual reality and structured reality

Virtual reality (VR) immerses the user in the environment while augmented reality (AR) improves their environment. Although VR has so far been primarily used for gaming, it has also been used for training, such as Virtual Shop, a simulation software designed to target US Navy, Army, and Coast Guard ship captains. Used for training. The famous Pokemon Go is an example of AR.

Both VR and AR have great potential for post-injury training, recreation, education, marketing, and even rehabilitation. Either like Pepsi Max bus shelters for doctors to perform surgery, offer in-depth experience to museum visitors, expand theme parks, or expand marketing. Can be used

There are big players in the VR market like Google, Samsung and Oculus, but a lot of startups are forming and they will be on the job, and only in demand for professionals with VR and AR skills. Will increase VR does not require much specialized knowledge to get started. Basic programming skills and a forward-thinking mindset can start a job, although other employers will also look for optics as a set of skills and as a hardware engineer.

  1. Cybersecurity

Cybersecurity doesn’t look like an emerging technology, although it’s been a while, but it’s evolving like any other technology. This is partly because the threats are constantly new. Mischievous hackers trying to gain access to data illegally are not going to give up any time soon, and they will continue to find ways to take advantage of even the toughest security measures. Part of this is because new technology is being adopted to increase security. As long as we have hackers, we will have cyber security as an emerging technology because it will be permanently ready to defend against these hackers.

As evidence of the strong need for cybersecurity professionals, the number of cybersecurity jobs is growing three times faster than other tech jobs. However, when it comes to filling these jobs, we are shrinking. As a result, it is predicted that we will have 3.5 million immovable cybersecurity jobs by 2021.

Many cybersecurity jobs have six-digit revenue, and can range from an ethical hacker to a security engineer to a chief security officer who wants to enter and stay in the domain.

  1. Blockchain

Although most people think of blockchain technology in relation to cryptocurrencies like bitcoin, blockchain offers security that works in many other ways. In the simplest terms, blockchain can be defined as data that you can only add, remove, or change. Hence the term “China” because you are creating a chain of data. Not being able to replace the previous blocks makes it so secure. Also, blockchains are run by consensus, so no organization can control the data. With Blockchain, you don’t need a trusted third party to monitor or verify transactions. For a detailed and complete understanding of technology you can refer to our blockchain tutorial.

Many industries are incorporating and implementing blockchain, and as the use of blockchain technology grows, so does the demand for skilled professionals. In that sense, we are already behind. According to TechCrunch.com, blockchain-related jobs are the second fastest growing category of jobs, with 14 jobs for each blockchain developer. A blockchain developer, Blockchain Taken

  1. Internet of Things (IoT)

Any “stuff” is now being built with Wi-Fi connectivity, meaning they can be connected to the Internet and to each other. So, the Internet of Things, or IoT. The Internet of Things is the future, and the Internet has already enabled devices, home appliances, cars, and more to connect and exchange data. And we are only in the early stages of IoT: the number of IoT devices has reached 8.4 billion in 2017 and is expected to reach 30 billion devices by 2020.

As consumers, we are already using and benefiting from IoT. We can lock our doors remotely if we forget that when we go to work and on the way home from work we preheat our ovens, keeping track of our fitness on our feet. And respecting the ride with the left. But businesses also have a lot to gain now and in the near future. IoT will enable better security, efficiency, and decision-making for businesses as data is collected and analyzed. It could offer predictable maintenance, speed up medical care, improve customer service, and offer benefits we never imagined.

However, despite the importance of IoT in its development and adoption, experts say that not enough IT professionals are being trained for IT jobs. An ITProToday article states that we will need 200,000 more IT workers who are not yet in the pipeline, and a survey of engineers found that 25.7% found that insufficient skill levels hindered growth. To be For anyone interested in a career in IoT, that means that if you are motivated, you can easily enter the field with many options. Required skills include IoT security, knowledge of cloud computing, data analytics, automation, understanding of embedded systems, device knowledge, including just a few names. However, this is the Internet of Things, and those things are many and different, even the skills needed.

So, what’s next?


Although technologies are emerging and evolving around us, these eight technologies look forward to professional skills now and in the future. And all eight are short of skilled workers, which means that time will choose for you, get trained, and ride the early stages of technology, now and in the future. Get you in position.

Watch Sidlyarn’s video on “Top Technologies for Learning in 2020”.

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