Technology 8 Trends That Will Impact Our Lives In 2020

Technology 8 Trends That Will Impact Our Lives In 2020

Technology is now advancing at such a rapid pace that annual predictions of trends. This can seem out-of-date before they even go live as a published blog post or article. As technology emerges, it enables even faster change and progress. It’s also causing an acceleration of the rate of change until eventually, it will become exponential. 

Technology-based careers don’t change at the same speed. But they do unfold, and the savvy IT professional recognizes that his or her role will not stay the same. And an IT worker of the 21st century will continually be learning (out of necessity if not desire).

What does this signify for you? It means staying current with technology trends. And it indicates keeping your eyes on the future. Knowing which skills you’ll need to know and what types of jobs you want to be qualified to do. Here are eight technology trends you should watch for in 2020. And also some of the jobs that will be created by these trends.

1. Artificial Intelligence (AI): Technology

Artificial Intelligence, or AI, has already earned a lot of buzz in recent years. But it goes on to be a trend to watch because of its effects on how we live. Even work and play are only in the early stages. In addition, other branches of AI have flourished, including Machine Learning, which we will go into below. AI specifies to computer systems built to mimic human intelligence and perform tasks such as recognition of images, speech or patterns, and decision making. AI can eventually do these tasks faster and more accurately than humans.

Five out of six Americans utilize AI services in one form or another every day. These also include navigation apps, streaming services, smartphones, personal assistants, ride-sharing apps, home personal assistants, and smart home devices. In addition to consumer use, AI is used to schedule training, assess business risk, predict maintenance. And It’s also involved in improving energy efficiency, among many other money-saving tasks.

AI is one part of what we point out to broadly as automation. Eventually, Automation is a hot topic because of potential job loss. Experts say automation will dismiss 73 million more jobs by 2030. However, automation is making jobs as well as eliminating them, especially in the field of AI. Pundits are guessing that jobs in AI will number 23 million by 2020. 

Jobs will be made in development, programming, testing, support, and maintenance, to name a few. The artificial Intelligence architect is one such job. Some say it will soon rival data, scientists in need of skilled professionals. Learning more about potential jobs in AI, read about building a career in AI, or why you should earn an AI certification.

2. Machine Learning: Technology

Machine Learning belongs to a subset of AI. Including Machine Learning, computers are programmed to learn to do something they are not programmed to do. They also learn by discovering patterns and insights from data. Generally, we have two types of learning, supervised and unsupervised.

While Machine Learning is a subset of AI, we also have subsets within the domain of Machine Learning. It also includes neural networks, natural language processing (NLP), and deep learning. Each of these subsets offers an opportunity for specialized in a career field that will only grow.

Machine Learning is speedily being deployed in all kinds of industries, creating a huge demand for skilled professionals. The Machine Learning market is predicted to grow to $8.81 billion by 2022. Machine Learning applications are utilized for data analytics, data mining, and pattern recognition. On the consumer end, Machine Learning powers web search evolves real-time ads, and network intrusion detection. Naming only a few of the many tasks, it can do.

Along with completing countless tasks on our behalf, it is generating jobs. Machine Learning jobs designate among the top emerging jobs on LinkedIn, with almost 2,000 job listings posted. And these jobs pay well. In 2017, the midpoint salary for a machine learning engineer was $106,225. Machine Learning jobs comprise engineers, developers, researchers, and data scientists.

3. Robotic Process Automation or RPA

Like AI and Machine Learning, Robotic Process Automation, or RPA, is another technology that is generating jobs. RPA is the usage of software to automate business processes such as interpreting applications, processing transactions, dealing with data, and even replying to emails. RPA automates repeated tasks that people used to do. These are not just the common tasks of a low-paid worker. Generally, 45% of the activities we do can be automated, including the work of financial managers, doctors, and CEOs.

Although Forrester Research measures RPA automation will threaten the livelihood of 230 million or more knowledge workers or approximately 9 percent of the global workforce. RPA is also making new jobs while altering existing jobs. McKinsey finds that less than 5 percent of occupations can be totally automated. But about 60 percent can be partially automated.

For you as an IT professional are looking to the future and trying to understand technology trends. RPA bids plenty of career opportunities, including developer, project manager, business analyst, solution architect, and consultant. And these jobs pay well. The average RPA salary is $73,861. But that is the average assembled from salaries for junior-level developers up to senior solution architects. 

And the top 10 percent earning over $141,000 annually. So, if you’re avid for learning and pursuing a career in RPA. The Introduction to Robotic Process Automation (RPA) course might

4. Edge Computing

Formerly a technology trend to watch, cloud computing has turned into the mainstream, with major players AWS (Amazon Web Services).  Moreover, Microsoft Azure and Google Cloud are dominating the market. The adoption of cloud computing is still rapidly growing, as more and more businesses migrate to a cloud solution. But it is no longer emerging technology

As the quantity of data we’re dealing with continuing to increase, we’ve realized the shortcomings of cloud computing in some situations. Edge computing is designed to help solve some of those problems as a way to bypass the latency caused by cloud computing and getting data to a data center for processing. Eventually, It can exist “on the edge,” if you will, closer to where computing needs to happen. 

For this reason, edge computing can be utilized to process time-sensitive data in remote locations with limited or no connectivity to a centralized location. In those situations, edge computing can serve as mini data centers. Edge computing will increase as the use of the Internet of Things (IoT) devices increases. By 2022, the global edge computing market is expected to reach $6.72 billion. As with any growing market, this will do various jobs, primarily for software engineers.

If you prefer to get a thorough understanding of edges means, and how is it different from cloud computing. You can read it, read it here!

5. Virtual Reality and Augmented Reality

Virtual Reality (VR) plunges the user in an environment while Augment Reality (AR) enhances their environment. Although VR has primarily been used for gaming thus far, it has been used for training, as with Virtual Ship. A simulation software used to train U.S. Navy, Army, and Coast Guard ship, captains. The popular Pokemon Go is an instance of AR.

Both VR and AR involve enormous potential in training, entertainment, education, marketing, and even rehabilitation after an injury. Either could be utilized to train doctors to do surgery, offer museum-goers a deeper experience, enhance theme parks. Even they enhance marketing, as with this Pepsi Max bus shelter.

They’re major players in the VR market, like Google, Samsung, and Oculus, but plenty of startups are forming. Moreover, they will be hiring, and the demand for professionals with VR and AR skills will only increase. Getting started on VR doesn’t need a lot of specialized knowledge. Basic programming skills and a forward-thinking mindset can provide a job. Even other employers will be looking for optics as a skill-set and hardware engineers as well.

6. Cybersecurity

Cybersecurity might not seem like emerging technology, given that it has been around for a while. But it is employing just as other technologies are. That’s in part because threats are constantly new. The malevolent hackers who are striving to illegally access data are not going to give up any time soon. And they will carry on to find ways to get through even the toughest security measures.

 It’s also in part because new technology is being made to enhance security. As long as we have hackers, we will have cybersecurity as an emerging technology. Because it will continually evolve to defend against those hackers.

As proof of the strong requirements for cybersecurity professionals, the number of cybersecurity jobs is growing three times faster than other tech jobs. However, we’re coming shortage when it comes to filling those jobs. As a result, it’s assumed that we will have 3.5 million unfilled cybersecurity jobs by 2021.

Many cybersecurity jobs pay six-figure incomes. And their roles can range from the ethical hacker to security engineer to Chief Security Officer. It also offers a promising career path for someone who wants to get into and stick with this domain.

7. Blockchain

Most people assume blockchain technology in relation to cryptocurrencies such as Bitcoin. The Blockchain offers security that is useful in many other ways. Simply, blockchain can be described as data you can only add to, not take away from or change. Hence the term “chain” means you’re making a chain of data. Not being able to remake the previous blocks is what makes it so secure. 

In addition, blockchains become consensus-driven, so no one entity can take control of the data, with blockchain. You don’t require a trusted third-party to oversee or validate transactions. You can hint to our Blockchain tutorial for a detailed and thorough understanding of the technology.

Several industries are involved and implementing blockchain. And as the usage of blockchain technology increases, so too does the demand for skilled professionals. Blockchain-related jobs are the second-fastest growing category of jobs, with 14 job openings for every one blockchain developer. 

A blockchain developer specializes in developing and implementing architecture and solutions using blockchain technology. The average yearly salary of a blockchain developer gives $130,000. So you can be intrigued by Blockchain and its applications and want to make your career in this fast-growing industry. Then this is the right time to study Blockchain and gear up for an exciting future.

8. Internet of Things (IoT)

 Many “things” are now being built with WiFi connectivity, meaning they can be connected to the Internet—and each other. Hence, the Internet of Things, or IoT. The Internet of Things is the future. It already enabled devices, home appliances, cars, and much more to be connected to and exchange data over the Internet. And we are only in the beginning stages of IoT. The number of IoT devices rose to 8.4 billion in 2017 is expected to reach 30 billion devices by 2020.

As consumers, we are already using and benefitting from IoT. We can lock our doors remotely. If we forget to when we leave for work and preheat our ovens on our way home from work. Amid tracking our fitness on our Fitbits and hailing a ride with Lyft. However, businesses also have much to gain now and in the near future. 

The IoT can implement better safety, efficiency, and decision making for businesses as data is collected and analyzed. It can enable predictive maintenance, speed up medical care, improve customer service, and offer benefits we haven’t even imagined yet.

However, despite this blessing in the development and adoption of IoT, experts say not enough IT professionals are getting trained for IoT jobs. A survey of engineers observed 25.7 percent believe inadequate skill levels to be the industry’s biggest obstacle to growth. For someone interested in a career in IoT. 

 It means easy entry into the field if you’re motivated, with a range of options for getting started. Skills required include IoT security, cloud computing knowledge, data analytics, automation, understanding of embedded systems, device knowledge, to name only a few. Ultimately, it’s the Internet of Things, and those things are many and varied, meaning the skills needed are as well.

 Final Thoughts

While technologies are emerging and evolving all around us, these eight technologies offer promising career potential now and for the foreseeable future. And all these eight are suffering from a shortage of skilled workers. It refers to the time it is right for you to choose one, get trained. Get on board in the early stages of the technology, positioning you for success now and in the future.

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