Technology Trends for 2020

Technology Trends for 2020

Technology is currently evolving at such a rapid rate that yearly predictions of trends can appear out-of-date before they go live as a printed blog post or article. As technology evolves, it enables even faster change and advancement, causing an acceleration of the speed of change, until eventually, it is going to become exponential.

Technology-based careers do not change at exactly the exact same rate, but they do evolve, and the savvy IT professional recognizes that their role won’t stay the same. And an IT worker of the 21st century will always be learning (out of necessity should not desire).

And it means keeping your eyes on the future, to understand which skills you will need to know and what sorts of jobs you are interested in being qualified to do. Here are eight technology trends you need to watch for in 2020, and a number of the jobs which are created with these trends.

Artificial Intelligence (AI)
Artificial Intelligence, or AI, has received lots of buzz in recent decades, but it has been a trend to watch because its effects on how we live, work and play are only in the early stages Furthermore, other branches of AI have developed, such as Machine Learning, which we’ll go into below. AI refers to computer systems built to mimic human intelligence and perform tasks like recognition of graphics, speech or patterns, and decision making. AI can do these jobs faster and more accurately than people.

Five out of six Americans use AI services in one form or another every day, such as navigation programs, streaming solutions, smartphone personal assistants, ride-sharing programs, home personal assistants, and smart home devices. Along with customer use, AI is used to program trains, evaluate business risk, forecast maintenance, and enhance the energy efficiency, among a number of other money-saving tasks.

AI is 1 part of what we refer to broadly as automation, and automation is a hot topic due to potential job loss. Experts state automation will eliminate 73 million more jobs by 2030. However, automation is creating jobs in addition to eliminating them, particularly in the area of AI: Pundits predict that projects in AI will number 23 million by 2020. Jobs will be created in development, testing, programming, support, and maintenance, to name a few. Some say it will soon rival data scientists needing skilled professionals. To find out more about potential work in AI, read about creating a career in AI or why you need to make an AI certification.

Machine Learning
With Machine Learning, computers have been programmed to learn to do something they aren’t programmed to do: they learn by detecting patterns and insights from data. Generally speaking, we have two kinds of learning, supervised and unsupervised.

Whilst Machine Learning is a subset of AI, we also have subsets within the domain of Machine Learning, such as neural networks, natural language processing (NLP), and profound learning. Each of these subsets provides a chance for specializing in a career field that is only going to grow. Machine Learning is rapidly being deployed in all sorts of industries, creating a massive demand for skilled professionals. The Machine Learning market is predicted to grow to $8.81 billion by 2022. Machine Learning programs are utilized for data analytics, data mining, and pattern recognition. On the user end, Machine Learning powers search results, real-time advertisements, and network intrusion detection, to mention just a few of the numerous tasks it can perform.

As well as completing innumerable jobs on our behalf, it’s generating jobs. Machine Learning jobs rank among the best emerging jobs on LinkedIn, with nearly 2,000 job listings posted. And these jobs pay well: In 2017, the median salary for a machine learning engineer was $106,225. Machine Learning jobs comprise engineers, programmers, researchers, and information scientists.

Robotic Process Automation or RPA
Like AI and Machine Learning, Robotic Process Automation, or RPA, is just another technology that’s automating jobs. RPA is using applications to automate business processes like interpreting programs, processing transactions, dealing with information, as well as responding to emails. RPA automates repetitive jobs that people used to do. These aren’t only the menial tasks of a low-paid employee: around 45 percent of the activities we do could be automated, including the job of financial managers, physicians, and CEOs.

Although Forrester Research estimates RPA automation will threaten the livelihood of 230 million or more knowledge employees or roughly 9 percent of the global workforce, RPA is also creating new jobs. McKinsey finds that less than 5% of jobs can be completely automated, but about 60 percent can be partly automated.

For you as an IT professional looking into the future and seeking to understand technology trends, RPA features loads of career opportunities, such as programmer, project manager, business analyst, solution architect, and consultant. says the normal RPA salary is $73,861, but that’s the typical compiled from wages for junior-level programmers up to senior solution architects, with the top 10 percent earning over $141,000 annually. Therefore, if you are keen on learning and pursuing a career in RPA, the Introduction to Robotic Process Automation (RPA) course should be the next step you must kickstart

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