Top 8 Technology Trends for 2020

Posted by anoop on January 10th, 2020

Technologies such as these are evolving at such a rapid pace that the annual forecasts of trends can be outdated before they are live as a published blog post or article. As technology evolves, it enables faster change and progression, causing acceleration of the rate of change, until it eventually becomes exponential.

 Technology-based G-based careers do not change at the same speed, but they evolve, and the savvy IT professional acknowledges that his role will not be the same. And the 21st Century IT worker will be constantly learning (out of necessity if not willing).

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

Top 8 Technology Trends for 2020

Technologies such as these are evolving at such a rapid pace that the annual forecasts of trends can be outdated before they are live as a published blog post or article. As technology evolves, it enables faster change and progression, causing acceleration of the rate of change, until it eventually becomes exponential.

Technology-based G-based careers do not change at the same speed, but they evolve, and the savvy IT professional acknowledges that his role will not be the same. And the 21st Century IT worker will be constantly learning (out of necessity if not willing).

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

 1. Artificial Intelligence (AI)

Artificial Intelligence, or AI, has already become a lot of smoke in recent years, but it has continued to trend as the effects of how we live, work and play are only in the early stages. In addition, other branches of AI have evolved, including machine learning, which we will go down. AI refers to computer systems designed to copy human intelligence and perform tasks such as image recognition, speech or pattern recognition and decision making. A.I. They can perform tasks faster and more accurately than humans.

 Five in six Americans use AI services every day 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 utilization, AI is used to schedule trains, assess business risk, forecast maintenance and improve energy efficiency.

 AI is part of what we widely refer to as auto tometion, and automation is a hot topic because of the potential job loss. Experts say automation will eliminate another 73 million jobs by 2030. However, automation is generating jobs and eliminating them, especially in the area of ​​AI: Pundits have predicted that by 2020 jobs in AI will be 23 million. Jobs will develop, programming, testing, support and maintenance, to name a few. Artificial Intelligence Architect is such a work. Some say that it will soon compete with a data scientist in need of skilled professionals. A.I. To learn more about potential jobs in, A.I. Read about making a career in or you need an A.I. Why should a certificate be obtained?

2. Machine learning

Machine learning is a subset of AI. With machine learning, computers are programmed to learn what they don't have to do: they learn by drawing patterns and insights from data. Generally, we have two types of education, supervision and supervision.

 While machine learning is a subset of AI, we also have deep learning in the fields of neural networks, natural language processing (NLP) and machine learning. Each subset offers just the opportunity to specialize in an emerging career area.

 Machine learning is increasingly used in all types of industries, which creates huge demand for skilled professionals. The machine learning market is expected to grow to 81 8.81 billion by 2022. Machine learning applications are used for data analytics, data mining and pattern recognition. On the consumer end, machine learning can detect web search results, real-time advertising, and network intrusion, which outlines some of the tasks you do.

 Apart from completing many tasks on our behalf, it also creates employment. Machine Learning Jobs is one of the top merit recruitment jobs on LinkedIn, posting about 2 thousand job listings. And these jobs pay well: In 2017, the average salary for a machine learning engineer was 6 106,225. Machine learning jobs include engineers, developers, researchers and data scientists.

3. Robotic Process Automation or RPA

Like AI and machine learning, robotic process automation or RPA, is another technique for automating jobs. RPA software uses software to automate business processes such as interpreting applications, processing transactions, dealing with data and answering emails. RPA automates the repetitive tasks that people do. These are not simple tasks for low-wage workers: up to 45 percent of activities can be automated, including the work of financial managers, doctors and CEOs.

 Although Forrester Research estimates that RPA automation will provide for the livelihood of 230 million or more knowledge workers, or 9 percent of the global workforce, RPA will also create new jobs and replace existing jobs. Kennedy found that less than 5 percent of businesses can be fully automated, while 60 percent can be automated.

 For you as an IT professional who cares about the future and understands the technology trends, RPA offers plenty of career options, including developer, project manager, business analyst, solution architect and consultant. And this job pays well. SimpleHide.com claims an average RPA salary of 73,861, while the average median salary for junior-level developers, from computers to senior solution architects, earns an average top 10 percent of more than 1 141,000 a year. Therefore, if you are passionate about learning and pursuing a career in RPA, the next step for you to start a RPA career is to perform Robotic Process Automation (RPA).

4. Edge Computing

From a technical standpoint, cloud computing has become mainstream, with major players dominating the AWS (Amazon Web Services), Microsoft .Aft Azure and Google Cloud markets. The adoption of cloud computing is still ongoing, as more and more businesses are migrating to cloud solutions. But it is no longer a recruitment technician.

 As the amount of data we are working on increases, we realize the shortcomings of cloud computing in some cases. Edge computing is designed to help cloud cloud computing delays and solve some of the problems that cause data centers to get data. If you are close to where you need computing it is "on the edge". For this reason, edge edge can be used to limit time-sensitive data in remote locations. In those situations, Edge Computing works like a mini datacenter. The use of the Internet of things enhances computing

5. Virtual Reality and Augmented Reality

Virtual Reality (VR) immerses itself in the consumer environment, while Augmented Reality (AR) enhances their environment. Although VR is mainly used for gaming, so far it has also been used for training as a virtual ship, in the U.S. Simulation software used to train captains of the Army and Coast Guard ships in the Navy. An example of the famous Pokemon Go AR.

Both VR and AR have great potential for training, entertainment, education, marketing and rehab after trauma. It can also be used to train doctors to perform surgeries, to provide a deeper experience to museum goers, to increase theme parks or to increase marketing, such as the Pepsi Max Bus Shelter.

Google, Samsung and Oculus are the major players in the VR market, but there are many startups and they are hiring, and the demand for professionals with VR and AR skills is only increasing. Special knowledge is required to avoid getting started on VR. Basic programming skills and a forward-thinking mentality can get the job done, though other employers may prefer the optics as skill-sets and hardware engineers.

6. Blockchain

Although many people are thinking of blockchain technology for cryptocurrency such as bitcoin, blockchain provides security, which can be used in many other ways. In simple terms, blockchain can only be described as data that you can add, delete or replace. That’s why the word “chain” is because you’re creating a data chain. It is safer not to replace the previous blocks. In addition, blockchains are consensus driven, so the data is not controlled by the entity. With Blockchain, you don't need a trusted third party to monitor or verify transactions. You can view our blockchain tutorial for a detailed and in-depth understanding of technology.

Many industries are incorporating blockchain and as the use of blockchain technology increases, so does the demand for skilled professionals. In that regard, we are already lagging behind. According to TechCrunch.com, blockchain-related jobs are the second fastest growing category, with 14 job openings for every blockchain developer. Blockchain Developer specializes in developing and implementing architecture and solutions using blockchain technology. The average annual salary of a blockchain developer is $ 130,000. If you want to pursue a career in this rapidly growing industry embedded in blockchain and its applications, this is the perfect time to learn blockchain and prepare for an exciting future.

7. Internet of Things (IoT)

Many "things" are now built with WiFi connectivity, which means 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 it is already connected to efficient equipment, appliances, cars and more and exchanging data over the Internet. And we're only in the early stages of IoT: the number of IoT devices reaching 8.4 billion in 2017, and is projected to reach 30 billion devices by 2020.

As consumers, we are already using and impacting IoT. If we heat up our ovens when we go out for work and on the way home from work, we can keep an eye on our fitness and travel with the lift while riding. But there are many benefits to businesses now and in the near future. As data is collected and analyzed, IoT can enable businesses to have better security, efficiency and decision-making. It can enable attendance management, speed up medical care, improve customer service and provide benefits we may not expect.

However, despite this boon in the development and adoption of IoT, experts say there are not enough IT professionals training for IoT jobs. A report from ITProToday notes that more than 200,000 IT employees are needed, and engineers who are not in the pipeline, 25.7 percent, are inadequate

8. Cyber ​​Security

Cyber ​​security may not seem like an emerging technology as it has been for some time, but it is evolving in a way similar to other technologies. Part of that is due to new threats. Molist hackers trying to access data illegally leave no stone unturned, and they find ways to do so even through stringent security measures. . This is in part due to the adoption of new technology to increase security. As long as we have hackers, we have cyber security as an emerging technology because it is constantly evolving to protect against those hackers.

As evidenced by the strong need of cyber security professionals, the number of cyber tech jobs is growing three times faster than other tech jobs. However, we are less likely to fill those jobs. As a result, we expect to have 3.5 million unfiltered cybersecurity jobs by 2021.

Most cybersecurity jobs pay a six-figure income, and roles range from ethical hacker to security engineer to chief security officer, providing a good career path for anyone who wants to enter this domain.