Technology is now evolving at such a rapid pace that annual predictions of trends can be outdated even before going live as a published blog post or article. As technology evolves, it also enables rapid change and progress, accelerating the rate of change, until eventually, it will become exponential.
Technology-based careers do not change at the
same pace, but they do not develop, and ordinary IT professionals acknowledge
that their roles will not remain the same. And a 21st-century IT worker will
continue to learn (out of necessity when not needed).
What does this mean for you? This means
staying current with technology trends. And that means keeping in mind the
future, knowing what skills you need and what kind of jobs you want to be
eligible for. Here are eight technology trends that you should see in 2020, and
some jobs that will be created by these trends.
1. Artificial Intelligence (AI)
Artificial intelligence, or AI, is already in many discussions in recent years, but there remains a trend to see as its impact on how we live, work and play are only in its infancy. In addition, other branches
of AI have evolved, including machine learning, which we will go into below. AI
refers to computer systems built to mimic human intelligence and perform tasks
such as identifying and deciding images, speech or patterns. AI can perform
these tasks more quickly and accurately than humans.
Five out of six Americans use AI services in
one form or another every day, including navigation apps, streaming services,
smartphone personal assistants, ride-sharing apps, home personal assistants,
and smart home devices. In addition to consumer usage, 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 broadly refer to as
automation, and automation is a hot topic due to potential job losses. Experts
say automation will eliminate more than 73 million jobs by 2030. However,
automation is creating jobs as well as eliminating them, particularly in the
field of AI: pundits estimate the number of jobs in AI to be 23 million by
2020.
Programming, testing, support, and maintenance, to name a few. The
Artificial Intelligence Architect is one such work. Some say that it will soon
rival data scientists in need of skilled professionals. To learn more about
potential jobs in AI, read about making a career in AI or why you should earn
an AI certification.
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 exploring patterns and insights from data. In
general, we have two types of learning, supervision and unpublished.
While machine learning is a subset of AI, we
also have subsets in the field of machine learning, including neural networks,
natural language processing (NLP), and intensive learning. Each of these
subsets provide an opportunity for specialization in a career field that will
only grow.
Machine learning is increasingly deployed in
all types of industries, creating a huge demand for skilled professionals. The
machine learning market is expected to grow to $ 8.81 billion by 2022. Machine
Analytics is used for data analytics, data mining, and pattern recognition. At
the consumer end, the power of machine learning can perform just a few tasks
for web search results, real-time advertising, and network intrusion detection. Apart
from completing countless tasks on our behalf, it is generating Employment.
Machine learning jobs are one of the top emerging jobs on LinkedIn, with around
2,000 job listings. 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
As AI and machine learning, robotic process
automation or RPA is another technique that is automating jobs. RPA software
is used to automate business processes such as interpreting applications,
processing transactions, dealing with data, and even answering emails. RPA
automates repetitive tasks that people used to do. These are not just the
monthly tasks of low-paid workers: up to 45 percent of the activities we do can
be automated, including the tasks of financial managers, doctors, and CEOs.
Although Forrester Research estimates that RPA
automation will threaten the livelihoods of 230 million or more knowledge
workers, or about 9 percent of the global workforce, the RPA is also creating
new jobs, altering existing jobs. McKinsey found that less than 5 percent of
businesses can be fully automated, but about 60 percent can be partially
automated..
As an IT professional looking to the future
and trying to understand technological trends, RPA offers plenty of career
opportunities including developer, project manager, business analyst, solution
architect, and consultant. And these jobs pay well. SimplyHired.com says the
average RPA salary is $ 73,861, but it is an average compiled by salary for
senior-level architects to junior-level developers, with the top 10 percent
earning more than $ 141,000 annually. Therefore, if you are keen on learning
and advancing a career in RPA, the start of robotic process automation (RPA) the course should be the next step to kickstart your RPA career.
4. Edge Computing
A technology trend in the past, cloud computing
has become mainstream, with key players AWS (Amazon Web Services), Microsoft
Azure and Google Cloud dominating the market. The adoption of cloud computing
is still growing, as more and more businesses move towards cloud solutions. But
it is no longer an emerging technology.
As the amount of data continues to increase as
we are working, we realize the shortcomings of cloud computing in certain
situations. Edge computing is designed to help solve some of those problems, to
overcome the latency caused by cloud computing and to receive data to a data
center for processing. It can exist "on the edge" if you will, where
computing is required. For this reason, remote computing can be used to limit
time-sensitive data to confined locations or for connectivity to a centralized
location. In those situations, edge computing can function as a mini data center. As the use of edge computing of things (IoT) devices will increase.
By 2022, the global edge computing market is expected to reach $ 6.72 billion.
With any growing market, it will create various jobs mainly for software
engineers.
If you want to get a complete understanding of
edges, and how it differs from cloud computing, read it here! er Expires In
5. Virtual Reality and Augmented Reality
Virtual reality (VR) immerses the user in the
environment while augmenting reality (AR) enhances their environment. Although VR
has been used primarily for gaming, until now it has also been used for
training, as with VirtualShip, used to train captains of the US Navy, Army, and
Coast Guard ships. It is a simulation software. The popular Pokémon Go is an
example of AR.
Both VR and AR have great potential for
training, entertainment, education, marketing, and even rehabilitation after an
injury. With this Pepsi Max, bus shelter can be used to either train doctors to
perform surgeries, give museum-goers an intense experience, enhance theme parks
or even enhance marketing.
Google, Samsung, and Oculus are major players
in the VR market, but a lot of startups are forming and they are hiring, and
the demand for professionals with VR and AR skills will only increase. Special
knowledge is required for not starting VR. Basic programming skills and a
forward-thinking mindset can land a job, although other employers will look for
optics in the form of skill-sets and hardware.
6. Blockchain
Although most people think of blockchain
technology in relation to cryptocurrency like bitcoin, blockchain provides
security which is useful in many other ways. In the simplest terms, blockchain
can be described as data that you can only add, not delete or replace. Hence
the word "chain" because you are creating a chain of data. It is so
safe as not being able to replace the previous blocks. In addition, blockchains
are consensus-driven, so no entity can take control of the data. With
blockchain, you do not need a trusted third-party to oversee or verify
transactions. You can refer to our blockchain tutorial for a detailed and
in-depth understanding of the technology.
Many industries are incorporating and
implementing blockchain, and as the use of blockchain technology increases, so
does the demand for skilled professionals. In that regard, we are already
behind. According to techcrunch.com, blockchain-related jobs are the second-fastest-growing category of jobs, with 14 job opportunities for every single
blockchain developer. A blockchain developer specializes in developing and
implementing architecture and solutions using blockchain technology. The
average annual salary of a blockchain developer is $ 130,000. If you agree with
blockchain and its applications and want to pursue a career in this
fast-growing industry, then this is the perfect time to learn blockchain and
prepare for an exciting future..
7. Internet of Things (IoT)
Many "things" are now being
made with WiFi connectivity, meaning they can be connected to the Internet and
to each other. Therefore, the Internet of Things, or IoT. The Internet of Things is
the future and is already connected to capable devices, home appliances, cars
and much more and to exchange data over the Internet. And we are only in the
early stages of IoT: the number of IoT devices reached 8.4 billion in 2017,
expected to reach 30 billion devices by 2020.
As consumers, we are already using and
leveraging IoT. We can remotely close our doors if we forget when we leave for
work and preheat our ovens on the way home from work, keeping an eye on our
fitness and Lyft While riding a ride with. But businesses have
much to gain now and in the near future. IoT can enable better security,
efficiency, and decision making for businesses in the form of data collected and
analyzed. It can enable predictive maintenance, accelerate medical care,
improve customer service, and provide benefits we haven't even imagined yet.
However, despite this boon in the development
and adoption of IoT, experts say that not enough IT professionals are being trained
for IoT jobs. An article by ITProToday stated that we need 200,000 more IT
employees not yet in the pipeline, and a 25.7 percent survey of engineers found
insufficient skill levels to be the industry's biggest obstacle to growth. For
someone aspiring for a career in IoT, it means that you can easily enter the
field if you are motivated. Essential skills include IoT security, cloud
computing knowledge, data analytics, automation, understanding of embedded
systems, device knowledge, to name just a few. After all, this is the Internet
of Things, and those things are many and varied, which means that the skills
required are also.
8. Cybersecurity
Cybersecurity may not sound like emerging technology, given that it has been around for some time, but it is
evolving in a similar way to other technologies. That's partly because the
threats are constantly new. Male hackers who are trying to access data
illegally will leave no stone unturned, and they will continue to find ways to
get through even the toughest security measures. This is also in part because
new technology is being adapted to increase security. As long as we have
hackers, we will have cybersecurity as an emerging technology as it will
constantly evolve to defend against those hackers.
As evidenced by the strong need for cybersecurity professionals, the number of cyber tech jobs is increasing three times
faster than other tech jobs. However, we fall short when it comes to filling
those jobs. As a result, it is predicted that we will have 3.5 million
unfiltered cybersecurity jobs by 2021.
Many cybersecurity jobs pay a six-figure
income and roles can range from the ethical hacker to security engineer to chief
security officer, providing a promising career path for those who want to live
and stick with this domain.
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