Technology is rapidly developing and taking over the world. Even the annual predictions of trending technology can seem outdated before it even goes live as a published article.
As technology rapidly evolves, it allows for even faster change and progress, causing the increasing speed of change until it eventually becomes exponential.
Technology is a dynamic field and those who want to go into it, or are already into it, have to adapt to recent changes in applications software, methods and be ready to learn new trends. If you want to stay updated, you must keep your eyes on the future to know which skills you would want to learn and the jobs you want to be qualified for.
These are the 10 emerging technology trends in 2020.
- Artificial Intelligence (AI)
- Machine learning
- RPA (Robotic Process Automation)
- Virtual Reality and Augment Reality
- Cloud Computing
- Internet of Things (IoT)
- Big Data
- Digital platform
Artificial intelligent a.k.a. AI refers to computer systems built to imitate human intelligence or mind and perform different tasks, such as recognition of images, speech, learning, and problem-solving. AI can do these tasks swiftly and more accurately than humans. According to AI leading textbooks, it defines the fields as a study of “intelligent agents”. It is a device or machine that perceives its environment and takes action that increases the chances of successfully achieving a goal.
AI constitute of:
- model of human intelligence
- model of the human mind
- a system that behaves intelligently
Machine learning is a subset of artificial intelligence. It has the ability to automatically learn from experience without explicitly been programmed. Machine learning imitates human thinking. It works by exploring data, identifying patterns and it involves no or minimal effort of humans.
Machine Learning is swiftly being installed in all kinds of industries, creating an enormous demand for skilled professionals. Some machine learning applications are used for data analytics, recognition of patterns, and email intelligence. On the consumer end, Machine Learning can web search results, real-time ads, and network intrusion detection, etc.
In addition, machine learning jobs rank as the top trending jobs in LinkedIn. Some jobs include data-scientists, developers, researchers, etc.
RPA (Robotic Process Automation)
Robotic Process Automation also is known as RPA is similar to AI and machine learning, in the sense that these technologies are automation. RPA is another technology used to automate business processes such as processing transactions, dealing with data, up to 43% of activities we do can be automated.
As an IT professional looking for the future and trying to understand all emerging technologies. RPA gives out a lot, many more opportunities including been a developer, project manager, consultant, and many more with high pay.
Blockchain is a system of storing information in a way that makes it hard or impossible to change, hack, or cheat the system. Blockchain can be defined as data or information you can add to but can’t be changed, modify, or hack.
You can refer chain to be data, so not been able to modify the chains of data makes it secure. For example, SQL databases need someone to always update it, send requests but with blockchain, no third party is needed, no entity is needed to control or oversee chains of data.a unique environment This technology powers bitcoin and other cryptocurrencies.
Virtual Reality and Augment Reality (AR)
Virtual Reality (VR) submerges the user in a unique environment while Augment Reality (AR) enhances their environment. Although VR is mainly used for gaming, and businesses, for example, VR headsets completely take over your vision to give you the impression that you’re in a different environment.
There are many major players in the VR market, e.g. Google, Samsung, etc. There are many startups with high demand for skilled professionals in VR and AR that will increase.
To get a job in the VR market, basic programming skills, and an intelligent thinking mind can get you a job. Other employers will look for optics as a skill-set and hardware engineers as well.
Cloud computing means saving data, accessing data, and information over the internet using different devices. The cloud is just a direct comparison for the internet, it also involves delivering different services over the internet. Cloud computing is an indeed powerful technology and it will continue to grow in the future and bring out many benefits to both the host and the end-users.
IT professionals with cloud computing skills are in high demand in 2020. Cloud computing needs high skilled IT professionals to design, implement, and deploy the services to end-users on the internet.
Cybersecurity is a body of technology designed to protect internet-connected systems, such as hardware, software, and data from cyber threats. This technology might not seem like a trending or emerging technology. It has been around for a while and it keeps evolving just like other technologies, because of the constant threat that keeps occurring in our society.
As computer threat keeps growing like wildfire for businesses and organizations across all sectors of the economy, the demand for highly trained cybersecurity professional is becoming more alarming than ever.
Internet of Things (IoT)
Internet of things also known as IoT, refers to a system of internet-connected devices that can be able to receive and distribute data over the internet with human help.
Many things are now built on connectivity, that can be connected, controlled, and access on the internet via a simple interface. IoT is the future and has allowed devices such as a car, home appliances, and much more to be connected on the internet to exchange data. The internet of things is making devices around us smarter and responsive, by merging digital and physical universes.
Big data is the collection of huge or large volumes of data, just as the name implies both structured and unstructured data. You know it is not the amount of data that matters; it is what the organization does with the data that really matters.
Big data analysis deals with data sets that are big or complex and systematically extract information or data using traditional data-processing application software.
Digital platforms are online businesses that facilitate connections, communications, and interactions between people. Examples of digital platforms are Facebook, Uber, Stack overflow, YouTube, Twitter, Instagram, LinkedIn, etc. This Technology has led and still leading many traditional businesses and organizations to incorporate a platform-based model.