As we know we all are living in the 21st century; the era of technology. In today’s era; technology is evolving rapidly. Even we can say:
In the 21st-century technologies are developing at such a very rapid pace; even these technologies will be out-of-date before publishing this post.
Technology-based careers don’t change in the same way. But they are also evolving from time to time. An IT professional also recognises that his or her role will not same all time, and they will also need to update their tech-knowledge. An IT worker in this era will continue learning new technologies to update and prepare themself for the future.
ARTIFICIAL INTELLIGENCE (AI)
Artificial Intelligence is a wide-range branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence.
In the 1950s, the father of AI; John McCarthy describe artificial intelligence as any task performed by a program or a machine that.
If a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task. AI refers to the computer systems build to mimic human intelligence and perform tasks such as recognization of images, speech, or pattern and decision making; AI can do these tasks faster and more accurately than humans.
In this century we all are using AI in our daily life, including navigation applications, smartphone personal assistants (e.g. Siri, Google Assistant, etc.), home assistant, smart device assistant, and many more.
AI also a part of automation; in today’s scenario automation is a very hot topic due to the potential of job loss. Experts say automation will eliminate approx 70–75 million jobs by 2030. Apart from that automation also create jobs as well as eliminating them; especially in the field of AI
MACHINE LEARNING (ML)
Machine Learning formally known as ML; is the study of computer algorithms that improve automatically through experience. It’s a subset of Artificial Intelligence (AI). Machine learning algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.
Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory, and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning. In its application across business problems, machine learning is also referred to as predictive analytics.
“Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.”
ROBOTIC PROCESS AUTOMATION (RPA)
RPA or Robotic Process Automation is another technology; same as Artificial Intelligence (AI) and Machine Learning; for automating the jobs or business processes. RPA is the technology that anyone today to configure computer software, or a “robot” to emulate and integrate the actions of a human interacting within digital systems to execute a business process. RPA robots utilize the user interface to capture data and manipulate applications just like humans do. They interpret, trigger responses, and communicate with other systems in order to perform a vast variety of repetitive tasks. Only substantially better: an RPA software robot never sleeps and makes zero mistakes.
In traditional workflow automation tools, a software developer produces a list of actions to automate a task and interface to the back-end system using internal application programming interfaces (APIs) or dedicated scripting language. In contrast, RPA systems develop the action list by watching the user perform that task in the application’s graphical user interface (GUI) and then perform the automation by repeating those tasks directly in the GUI. This can lower the barrier to the use of automation in products that might not otherwise feature APIs for this purpose.
In contrast to other, traditional IT solutions, RPA allows organizations to automate at a fraction of the cost and time previously encountered. RPA is also non-intrusive in nature and leverages the existing infrastructure without causing disruption to underlying systems, which would be difficult and costly to replace. With RPA, cost efficiency and compliance are no longer an operating cost but a byproduct of the automation.
VIRTUAL REALITY AND AUGMENTED REALITY (VR / AR)
Virtual Reality (VR) is the computer technology to create a simulated environment. Unlike the traditional User Interface, VR places the user inside an experience. Instead of viewing a screen in front of them, users are immersed and able to interact with 3D worlds. By simulating as many senses as possible, such as vision, hearing, touch, even smell, the computer is transformed into a gatekeeper to this artificial world.
Virtual reality (VR) implies a complete immersion experience that shuts out the physical world. Using VR devices such as HTC Vive, Oculus Rift, or Google Cardboard, users can be transported into a number of real-world and imagined environments such as the middle of a squawking penguin colony or even the back of a dragon.
The Augmented Reality (AR); adds digital elements to a live view often by using the camera on a smartphone. In AR, the computer uses sensors and algorithms to determine the position and orientation of a camera. AR technology then renders some digital elements or 3D graphics as they would appear from the viewpoint of the camera. AR has been primarily used for gaming but now it is also used for training the pilots with VirtualShip. In the present time, many countries are using these technologies to train their forces. The popular “Pokemon Go” is the best example of AR gaming.
There are so many giants who work in this (VR and AR) fields; such as Google, Samsung, Oculus, HTC, Sony, and many more. They are creating many job opportunities in this field. There is no requirement of a lot of specialized knowledge to start a career in VR and AR. It needs basic programming knowledge and problem-solving skills.
EDGE COMPUTING
By seeing the trend of technology, we can say, cloud computing; has become mainstream of computing technology, with major players AWS (Amazon Web Services), Microsoft Azure, and Google Cloud dominating the market and the adoption of this technology still growing as more and more businesses migrate to a cloud solution. But it’s no longer the only growing technology.
In the present time, the data we’re dealing with is continuously increasing. 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. Improved Performance and Reduce operational costs are the main advantages of edge computing.
Autonomous Vehicles, Streaming Services, Smart Homes are some great examples of edge computing.
Edge computing is an alternative approach to the cloud environment as opposed to the “Internet of Things”. It’s about processing real-time data near the data source, which is considered the ‘edge’ of the network. It’s about running applications as physically close as possible to the site where the data is being generated instead of a centralized cloud or data center or data storage location.
BLOCKCHAIN
Blockchain is a very fast-growing technology over the past few years. Most people think the blockchain is closely related to crypto-currency like buying, selling, trading of Bitcoin, Ethereum, and other top cryptocurrencies; but it’s not true.
Blockchain is a technology, sometimes referred to as Distributed Ledger Technology. It makes the history of any digital asset unalterable and transparent through the use of decentralization and cryptographic hashing.
A simple analogy for understanding blockchain technology is a Google Doc. When we create a document and share it with a group of people, the document is distributed instead of copied or transferred. This creates a decentralized distribution chain that gives everyone access to the document at the same time. No one is locked out awaiting changes from another party, while all modifications to the doc are being recorded in real-time, making changes completely transparent. Blockchain is an especially promising and revolutionary technology because it helps reduce risk, stamps out fraud, and brings transparency in a scaleable way for myriad uses.
There are so many industries; which are involving and implementing blockchain, and as the use increases the demand for skilled professionals also increases. It is the second-fast growing category for jobs.
According to Blockchain Council; this is a golden time for you as opportunities in the blockchain domain are thriving. Out of every five blockchain developers, there is one eligible blockchain developer out there who fits the bill of companies. Fortune 500 companies like IBM, Accenture, Capgemini, etc. are always on the lookout for skilled blockchain developers. The demand for blockchain developers is increasing without a pause. There is a rapid surge of interest in blockchain jobs as the most prominent industries are in need of high-quality talent. After the cryptocurrency bull market of 2017, there has been a meteoric rise in demand for blockchain developers and blockchain engineers. As of 2019, the global demand for blockchain engineers is above 517% over the last year.
Blockchain Developer Salaries
In 2018, the International Data Corporation (IDC) had estimated that the global expenditure on blockchain solutions would reach $11.7 billion by 2022.
The salary of a blockchain developer on a freelance basis ranges from $50 to $100 per hour. For salaried folks, firms in Silicon Valley in the U.S., offer up to $158,000 as average annual salary for blockchain developers. This is the same for an organization located in the hi-tech regions of the U.S. such as Boston and New York. Switzerland’s Crypto Valley offers annual salaries ranging from $1220,000 to 180,000 annually. In the United Kingdom, firms are not willing to pay more than $140,000 per year. In the case of startups, the amount does not go beyond $60,000. In Canada, the blockchain developer’s salary annually is $131,000 on an average. The salary of a junior blockchain developer in Canada is $85,500 on average. Experienced professionals in Canada earn up to $175,750 annually. (According to Blockchain Council)
INTERNET OF THINGS (IoT)
Over the past few years, IoT has become one of the most important technologies of the 21st century. Now that we can connect everyday objects — kitchen appliances, cars, thermostats, baby monitors — to the internet via embedded devices, seamless communication is possible between people, processes, and things.
According to Oracle India;
The Internet of Things (IoT) describes the network of physical objects — “things” — that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet. These devices range from ordinary household objects to sophisticated industrial tools. With more than 7 billion connected IoT devices today, experts are expecting this number to grow to 10 billion by 2020 and 22 billion by 2025.
As consumers, we’re 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, all while tracking our fitness on our Fitbits and hailing a ride with Lyft. But businesses also have much to gain now and in the near future. The IoT can enable 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.
