The near future in technology

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Technology is now evolving at such a rapid pace that annual trend predictions may seem outdated even before they are published as a post or blog article. As technology evolves, it allows for even more rapid change and progress, causing the rate of change to accelerate, until it eventually becomes exponential. 

Technology-based careers do not change at the same speed, but they do evolve, and the IT professional recognizes that their role will not be the same. And a 21st century IT worker will constantly learn (by necessity, if not by desire).

What does this mean to you? It means keeping up with technology trends. And it means keeping your eyes on the future, so you know what skills you'll need to have and what kinds of jobs you want to be qualified for. Here are eight technology trends to watch for in 2020, and some of the jobs that will be created by these trends.

1. Artificial Intelligence (AI)

Artificial Intelligence, or AI, is one of the latest technological developments (in spanish: últimas novedades tecnológicas). It has already received a lot of attention in recent years, but it is still a trend to watch because its effects on how we live, work and play are only in the early stages. In addition, other branches of AI have been developed, including Machine Learning, which we will see below. AI refers to computer systems created to imitate human intelligence and perform tasks such as image recognition, speech or patterns, and decision making. AI can do these tasks faster and more accurately than humans.

 

Five out of six Americans use AI services in one form or another every day, including navigation applications, broadcasting services, personal smartphone assistants, travel sharing applications, personal home assistants, and intelligent home devices. In addition to consumer use, AI is used to schedule trains, assess business risk, predict maintenance, and improve energy efficiency, among many other money-saving tasks.

 

AI is a part of what we generally call automation, and automation is a hot topic due to potential job loss. Experts say automation will eliminate 73 million more jobs by 2030. However, automation is creating and eliminating jobs, especially in the AI field: experts predict AI jobs will be 23 million by 2020. Jobs will be created in development, programming, testing, support and maintenance, to name a few. The artificial intelligence architect is one of those jobs. Some say it will soon rival data scientists who need qualified professionals. For more information on possible AI jobs, read about how to develop an AI career or why you should get certified in AI.

2. Machine Learning

Machine Learning is a subset of AI. With Machine Learning, computers are programmed to learn to do something they are not programmed to do: they learn by discovering patterns and ideas from data. In general, we have two types of learning, supervised and unsupervised.

 

While machine learning is a subset of artificial intelligence, we also have subsets within the machine learning domain, including neural networks, natural language processing (NLP), and deep learning. Each of these subsets offers an opportunity to specialize in a professional field that will only grow.

 

Machine learning is rapidly being implemented in all types of industries, creating a great demand for qualified professionals. The Machine Learning market is expected to grow to $8.81 billion by 2022. Machine Learning applications are used for data analysis, data mining and pattern recognition. On the consumer side, Machine Learning powers web search results, real-time advertising and network intrusion detection, to name just a few of the many tasks it can do.

 

In addition to completing countless tasks on our behalf, it is generating jobs. Machine Learning jobs are among the top emerging jobs on LinkedIn, with nearly 2,000 job listings posted. And these jobs pay well: in 2017, the average salary for a machine learning engineer was $106,225. Machine Learning jobs include engineers, developers, researchers, and data scientists.

3. Robotic Process Automation or RPA

Like artificial intelligence and machine learning, robotic process automation, or RPA, is another technology that automates work. RPA is the use of software to automate business processes such as interpreting applications, processing transactions, processing data, and even responding to e-mails. RPA automates repetitive tasks that people used to do. These are not just the household tasks of an underpaid worker - up to 45 percent of the activities we do can be automated, including the work of financial managers, doctors and CEOs.

 

While Forrester Research estimates that RPA automation will threaten the livelihoods of 230 million or more knowledge workers or approximately 9 percent of the global workforce, RPA is also creating new jobs while disrupting existing jobs. McKinsey finds that less than 5 percent of occupations can be fully automated, but approximately 60 percent can be partially automated.

 

For you, as an IT professional looking to the future and trying to understand technology trends, RPA offers many career opportunities, including developer, project manager, business analyst, solution architect and consultant. And these jobs pay well. SimplyHired.com says RPA's average salary is $73,861, but that's the average compiled from salaries for junior developers to senior solution architects, with the top 10 percent earning more than $141,000 annually. Therefore, if you are interested in learning and pursuing a career at RPA, the Introduction to Robotic Process Automation (RPA) course should be the next step you take to start a career at RPA.

Technology is increasingly developing and in order to keep up with it, it is important to know the latest technology news (in spanish: últimas noticias sobre tecnología).





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