Change is the only constant and it applies also to your professional life. Up-scaling is now a necessity, it is quite simple, technology is rapidly changing. Let’s See the trend in technologies and it is expected that the market in 2020 will become enormous.
Anyway, let’s create a new year’s resolution to learn any of the following technologies:
Artificial Intelligence (AI)
In recent years, it has already received a lot of hype, but it remains a phenomenon to watch as its impact on how we live, work and play are only in the early stages. Besides, other branches of AI have been developed, including Machine Learning, which will be discussed below. AI refers to computer systems designed to mimic human intelligence and perform tasks such as image recognition, speech or patterns, and decision making. AI can do these tasks faster and more precisely than humans do.
Every day, five out of six use AI services in one way or another, including navigation software, streaming services, personal mobile assistants, ride-sharing apps, personal home assistants, and smart home devices. In addition to consumer use, AI is used, among many other money-saving activities, to plan trains, assess business risk, predict maintenance and increase energy efficiency.
AI is one aspect of what we commonly call automation, and because of potential job losses, automation is a hot topic. Experts say that by 2030 automation would destroy more than 73 million jobs. However, automation creates and eliminates jobs, especially in the field of AI: experts predict 23 million jobs in AI by 2020. Opportunities for professional will be created in the sector of development, programming, testing, support and maintenance, to name a few. One of these positions is the architect of artificial intelligence. Many claims that in need of skilled professionals, data scientists will soon be competing. Learn about building a career in AI or why you should earn an AI credential to learn more about potential jobs in AI.
Machine Learning is an AI sub-set. Computers are programmed to learn to do something they are not programmed to do, they learn by finding patterns and insights from data. Generally speaking, we have two types of learning, supervised and unsupervised.
Although Machine Learning is an AI sub-set, we also have Machine Learning sub-sets, including Neural Networks, Natural Language Processing (NLP), and Deep Learning. Each of these sub-sets offers a chance to specialize in a profession that will only expand.
The rapid deployment of machine learning in all kinds of industries creates a huge demand for skilled professionals. It is estimated that the demand for machine learning will rise to $8.81 billion by 2022. For Data Analytics, Data Mining and Pattern Recognition, Machine Learning Applications are used. On the consumer end, web search results, real-time ads and network intrusion detection are driven by Machine Learning, to name only a few of the many tasks it can do.
It creates jobs in addition to accomplishing countless tasks on our behalf. Machine learning jobs are among LinkedIn’s top emerging jobs, with nearly 2,000 job listings posted. And these jobs pay well: a machine learning engineer’s median salary in 2017 was $106,225. Engineers, developers, analysts, and data scientists are interested in machine learning work.
Augmented Reality and Virtual Reality
Virtual Reality (VR) enhances the user’s environment while Augment Reality (AR) enhances its environment. Although VR has been used mainly for gaming up to now, it has also been used for training as with VirtualShip, a simulation platform used to train U.S. Captains of the Navy, Army and Coast Guard. A popular example of AR is the Pokemon Go.
All VR and AR have enormous opportunities for training, learning, marketing, and even post injury rehabilitation. Whether this could be used to train surgeons, provide museum visitors with a deeper experience, improve theme parks or even improve marketing.
There are major players on the VR market, such as Google, Samsung and Oculus, but there are plenty of start-ups forming and hiring, and the demand for VR and AR skills professionals will only increase. Starting with VR does not necessitate any experience. Basic programming and a forward-looking attitude can create a job, although other employers are also looking for optics as experts and hardware engineers.
Cloud and Edge Computing
Cloud computing was once a technology trend to watch, with major players dominating the market, including AWS (Amazon Web Services), Microsoft Azure and Google Cloud. Cloud computing adoption continues to grow as more and more companies are migrating to a cloud solution. But it isn’t the emerging technology anymore.
As the amount of data we are dealing with continues to increase, in some cases we have recognized the limitations of cloud computing. Edge computing is designed to help solve some of these problems as a way to bypass cloud computing latency and get data for processing to a data-center. If you like, it may exist “on the edge” closer to where computing needs to occur. For this purpose, with minimal or no access to a centralized location, edge computing can be used to process time-sensitive data in remote locations.
Edge computing can act like mini data centers in those situations. The use of the Internet of Things (IoT) applications would improve edge computing. By 2022, it is estimated that the global edge computing market will hit $6.72 billion. This will generate various jobs, as with any growing market, especially for software engineers.
Internet of Things (IoT)
With WiFi connectivity, many “things” are now being inbuilt with it, meaning they can be connected to the Internet — and to each other. The Internet of Things is the future and has already made it possible to connect and exchange data over the Internet with devices, home appliances, cars and much more. And we are only in the early stages of IoT: by this year it is estimated that the number of IoT devices will reach 30 billion in compare of 2017 was 8.4 billion devices.
We are already using and learning from IoT as users. Once we leave for work and preheat our ovens on our way home from work, we can lock our doors remotely, all while monitoring our health on our Fitbits and hailing a trip by Lyft. Yet now and in the near future, business have lot to gain. As data is collected and analyzed, the IoT can enable better security, efficiency and business decision-making. It can allow predictive maintenance, optimize medical care, enhance customer service, and provide benefits that we haven’t even considered before.
However, despite this positive development and adoption of IoT, experts say that not enough IT professionals have been trained for IoT jobs. An ITProToday report says we’re going to need 200,000 more IT employees that aren’t in the pipeline yet, and a survey of engineers found that 25.7 percent believe low skill levels are the biggest barrier to growth in the industry. This means easy entry into the field if you are inspired with a range of options to get started for someone interested in an IoT career. Skills required include IoT security, knowledge of cloud computing, data analysis, automation, understanding of embedded systems, knowledge of devices, to name but a few. It’s after all the
Intelligent Apps (I – Apps)
In this digitized era, all is engulfed by technology or inventions that seek to improve the advantages of the current and the confidence of the future. The most vital and terrible technology is distinguished by the artificial intelligence of all available technologies. These fascinating technologies have endless advantages that best fit into this moving world and facilitate users in many ways.
Due to the advent of smartphones, we have seen plenty of apps designed to look for information and help with everyday activities. Cloud infrastructure and machine learning technological innovations are now set as the basis for smart apps tomorrow. I-Apps is an innovative invention or artificial understanding that supports businessmen.
As we progressively move into a world with driverless cars, intelligent homes, and all around us, smart, intelligent applications are definitely the future. We are a long way from the foundational applications that were created for early smartphone generations. Even if we don’t always see it, AI is a potentially valuable and exciting development of technology at some point. AI companies have grown from 4% in 2018 to 14% in 2019. (CIO Policy Report, Gartner’s 2019).
In addition to the growing adoption of AI-powered enterprise applications, unique technology resources need to grow and develop alongside high success levels. Installations should understand how to apply simple machine learning techniques to solve their business issues, rather than driving deep machine learning.
While most people think of blockchain technology in relation to crypto-currencies like Bitcoin, blockchain actually provides security that is valuable in many other ways. Blockchain can be represented in the simplest terms as data that can only be applied to, not deleted or modified. This is why the word “line” is used because you are building a data set. That makes it so safe, that it won’t allow to change the previous links. Furthermore, blockchains are driven by consensus, so that no entity can control the data. With blockchain, to oversee or validate transactions, you don’t need a trusted third party. For a detailed and thorough understanding of the technology, please refer to Blockchain tutorial.
Due to the increase in the use of blockchain technology and also the need for qualified professionals, many businesses include and introduce blockchain. We’re still behind in this area. The second fastest rising job category, with 14 positions opened for every blockchain engineer, says Techcrunch.com. A blockchain developer specializes in architecture and solutions using blockchain technology development and implementation. A blockchain developer’s average annual salary is 130,000 dollars.If you are fascinated by the application of Blockchain and want to make your work in this rapidly evolving market, then this is the right time for Blockchain to know and plan for an exciting future.
RPA (Robotic Process Automation)
Robotic Process Automation, or RPA, is another technology that automates jobs, like AI and Machine Learning. RPA is the use of software to automate business processes such as application interpretation, transaction processing, data processing, and even email response. RPA automates the repetitive tasks people used to perform. These are not just a low-paid worker’s menial tasks: it is possible to automate up to 45% of the activities we do, including the work of financial managers, doctors and CEOs.
Although Forrester Research reports that RPA automation will threaten the livelihood of 230 million or more technology employees, or about 9% of the global workforce, RPA also creates new jobs although altering existing jobs. McKinsey reports that less than 5% of workers can be fully automated, but some 60% can be partially automated.
RPA provides plenty of career opportunities for you as an IT professional looking forward to the future and trying to understand technology trends, including developer, project manager, business analyst, software architect and consultant. And those positions are paying well. SimplyHired.com says the average RPA salary is $73,861, but that’s the average for junior developers to senior solution architects, with the top 10 percent earning more than $141,000 a year. So, if you’re interested in learning and pursuing a career in RPA, the Introduction to Robotic Process Automation (RPA) course should be the next step you’ll take to start a career in RPA.