The next-generation technological advancement has changed the dynamics of the world. The technology is improving at an enormous speed and billions of dollars are spent in tech research. By the time technological exposure changes, things that were once unique and special like touch screen smartphones do not hold much significance now. This is the era of innovations, as existing technologies are getting better over time and providing solutions to massive different fields such as the health sector, education, manufacturing industries, and so on.
Companies like Tesla, Amazon, and Apple are a few of the most prominent organizations in the world that have optimized the use of existing tech resources to open the door for invention and innovation. Tesla managed to facilitate the world with fully electronically powered vehicles, Amazon enhanced the user experience by providing the world’s best eCommerce platform, and Apple products have digitized the daily life routine.
The technologies of the early 2000s have vanished or have become obsolete, every decade new technological trends dominate the world with something special. When choosing your career path, it is essential to know what technologies will bring significant change in the future. Learn about what technologies will be trending in 2021.
Artificial intelligence and machine learning
It is intelligence demonstrated by machines. These technologies were created in the late 90s but only existed in theories with no real-life applications, but recently over the last few years, the emergence of AI systems has introduced a new dimension to change the world. There is a common threat found in employees, that one-day Artificial intelligence would minimize the need for human skills as machines would become more intelligent and efficient in processes and activities.
It would not be fair to relate AI only with robots, as a robot is a machine that would perform a specific task with or without intelligence whereas Artificial intelligence is a program, which does not need to be physical. Robots would be refined to the maximum extent by artificial intelligence in order to make them intelligent enough for activities that require human intelligence.
To what extent robots or machines can simulate human intelligence is a very never-ending debate, but it is a proven fact that artificial intelligence has the potential to automate the skills only being executed effectively by humans such as decision making. AI also refers to machines that exhibit traits associated with a human mind such as problem-solving and learning.
Machine learning is related to the computer science field in which the prediction of future data is determined through an algorithm. The previously generated data is utilized to predict the future data in machine learning. Artificial intelligence plays its role in machine learning by developing data-based intelligence that can carry out essential tasks on its own.
This is one of the most emerging technological fields which has the potential to become the next big thing. The field of Data Science is not new, it has been around for more than two decades and it has become an essential task for Governments, companies, departments, and institutions. Analyzing data provides efficiency of the process and provides ease in conducting surveys of the workforce.
Data science enables companies to precisely understand the gigantic data from various sources in order to derive valuable insight to facilitate decisions based on data. The use of Data Science is widely spread in areas like finance, healthcare, banking, policy work, marketing, and many more. In simple words, data science is about analyzing, extracting, storing, managing, and visualizing data to create insights.
There are numerous opportunities for job seekers in this field as it is in demand as it is considered the fastest-growing job and expected to create more than 11 million jobs by 2026. It is a highly paid career opportunity as the average income of a data scientist is around 116,100 per year.
Robotics Process Automation
Robotics Process Automation is not precise to only robots, there much more to it. Before the dominance of computers, most of the processes used to require human involvement, and large-scale manufacturing companies employed thousands of workers to run the machines. Organizations and institutes are moving towards a capital-intensive way of production and labor-intensive companies are converting into semi or complete automation.
Automation of processes has reduced the significance of the workforce as in almost all domains automation is becoming a need of time. In the future, the trend of automation is likely to impact the world in a positive way, but might be hard on employment.
The application of robotics process automation is found in our daily routine or activities. For example automatic email replies, automatic processing, financial transactions approval, and data analysis.
You would probably have heard about blockchain technology in the context of cryptocurrencies like Ethereum and Bitcoin. Blockchain is the technology that backs most of the cryptocurrencies in the market. The role of Blockchain is widely spread in several different applications. Its decentralized nature is what makes blockchain a unique technology, no one has control or access to the data shared between two parties.
The level of security provided by blockchain technology is the key factor behind its emergence, it provides the seamless transaction of data without third-party involvement. Traditional payment systems are not immune to attacks and thefts, whereas payment systems backed by blockchain are highly immune to external theft and attacks.
Blockchain technology is expected to dominate the mainstream transaction mechanism soon, as technologies other than blockchain have failed to provide a payment infrastructure that provides decentralized, secure, and scalable transactions. With platforms like BitQT, you can learn more about the digital infrastructure.
The time is not too far when the above-mentioned technologies will play a significant role in our daily life. The technology-related jobs are mostly well-decorated jobs and the demand for skills in AI, machine learning, robotics, data science, and blockchain technologies would remain relevant for at least two more decades.