We live in a technology-driven world. Given this environment, it would be wise to brush up on our technical skills. However, we should know which specific technology skills will always be in demand. It is a very broad field, and there are many areas of this field to explore. The technology field evolves rapidly, so you need to be very careful about the areas of expertise you opt for to ensure you don’t get left behind.

Many technical skills can be acquired through online courses. Contact Spectrum servicio al cliente to get fast internet connectivity to help you breeze through online learning.

We will look at some of the top technical skills to learn, and how much in demand they will be in the foreseeable future.

Artificial Intelligence

AI has changed the work environment tremendously over the past few years. Growth in AI technology will provide programmers with plenty of work opportunities. The number of AI professionals grew by over 30% from 2019 to 2020. It has grown so rapidly that it has become among the most sought-after job professions on LinkedIn.

AI overlaps with the machine learning field. However, it is a broader field that pertains to designing machines that can act like humans. Machine learning pertains to devices using a specific set of data to perform different functions. If you want to excel in AI, you need to have good Python, Amazon Web Services (AWS), and C++ skills.

Given that AI has become more mainstream, employers will be searching for people who specialize in AI. Some of the areas of growth include automated speech recognition (ASR), natural language processing (NLP), and machine automation. Many C-level executives now expect even people in non-technical roles to have some AI and automation skills.

Artificial intelligence for IT operations (AIOps) is another fast-emerging skill to consider learning. This is similar to DevOps. However, AIOps is more focused on AI-related projects. It combines machine learning and data analytics to automate the process of development to production.

Many of the products we use today, like cell phones, are dependent on the use of semiconductor chips. These days there is a global shortage of these vital components. AI can be used to help cope with this shortage. Google reportedly said last year that it is using AI to speed up the chip manufacturing process.

Machine Learning

Machine learning is among the most dynamic technical fields these days. There is perhaps more innovation taking place here than in any other field. So this is one of the best technical skills to learn. There are numerous applications of machine learning. From voice assistants on cellphones like Alexa and Siri to chatbots and predictive analysis for self-driving vehicles, you will find machine learning everywhere. It also has many medical applications. It can be used to gauge how infectious COVID-19 patients are and can also be used to help in drug development for such diseases.

The machine learning field is still very much in its infancy. However, the demand for machine learning skills will only go up. So if you start taking online courses to study machine learning, you will still be ahead of the game. The global machine learning industry will be worth a lucrative $209.91 billion by the end of this decade. Employers will start prioritizing employees with machine learning skills over other employees. Machine learning is likely to be more in demand than other technical skills. Some applications of machine learning include generating customer insights and intelligence, fraud detection, and recommender systems.

Machine learning skills will apply to a wide variety of industries. These include education, healthcare, and finance among others. Machine learning skills will add tremendous value to your resume and will provide you with endless possibilities for career growth.

Data Science & Analytics

Data analytics and data science are among the two high-in-demand technical skills within the broader Big Data field. Applications related to Big Data are expected to generate nearly $20 billion in revenue within the next 4 years. Big Data is a very valuable commodity in today’s tech-driven world. Many industries have made heavy investments in data. These include manufacturing, finance, ride-sharing applications, and government agencies. Global expenditure on big data by organizations in this industry is reported to be nearly $274.3 billion this year.

Nearly 60% of all big corporations are turning to data analytics to support their decision-making and bring greater efficiency to their operations. Data analytics courses are also being offered in business schools across the world. It is not surprising at all that it is steadily becoming one of the most sought-after skills on LinkedIn.

Data analytics is more of an entry-level technical skill. Data science on the other hand is a more advanced skill. However, once you get data analytics experience, you can easily branch out toward data science. Data skills will be required in a wide variety of industries like finance, education, healthcare, and software development.

Data Engineering

Contrary to popular belief, data engineering differs from data science. Data engineering makes it possible for data science to flourish. Data engineers create the tools and infrastructure that allow data scientists to conduct research.

According to a report published by LinkedIn in 2020, employment in the data engineering industry has increased by nearly 35% since 2015. Last year, Udemy stated that the growth in enrollment in data engineering courses was the highest among all its courses.

The use of data analysis has increased significantly among US government agencies and this will only grow further in the future. So as Americans, this is the best time to enter the data engineering sector to make your mark in this industry.

Data Visualization

Presenting data in just text form is not always effective. A better way to get people to understand data is by presenting it visually. An example is turning reports or spreadsheets into graphs and charts. This makes it easier to understand data. Data analysts and data scientists frequently use data visualization. However, even digital marketers can use data visualization to present data.

Data visualization can be viewed as a bridge that connects non-technical and technical roles. It entails data gathered by analysts and presenting it in a way that can be understood by anyone. Given the abundance of data-centric employment opportunities, it is one of the top skills to learn. With the increased use of data in business, skilled data interpreters and communicators will remain in high demand.

Network and Information Security

All official work has now practically become paperless. Instead of maintaining physical files and documents, all business data is now stored digitally. This has meant network security has gained prominence as companies need the infrastructure to keep their data secure.

A data breach is perhaps the last thing anyone will want to experience. From a business perspective, they are costly to recover from. A data breach that becomes public will damage the reputation of the organization involved. The number of data breaches grew by nearly 20% from 2020 to 2021. Many big companies like Sony and LinkedIn have had the trouble of having their data breached in the past.

Network safety has been compromised by the prevalence of work-from-home practices. Internet security protocols at home are typically laxer than in workplaces so businesses are more exposed to data breaches. According to research, 20% of all cybersecurity attacks in 2020 targeted the systems of employees who were working from home.

This scenario has highlighted the importance of cybersecurity for companies to keep their data safe and secure. Unsurprisingly, it has led to a surge in demand for cybersecurity personnel. Within the past year, the demand for such employees has increased by a massive 130%. Cybersecurity is expected to become even more critical in the future.

Companies are currently facing a shortage to fill these cybersecurity roles. This means there is an opportunity for you to fill the void. It will be beneficial for you to acquire network security skills so you can get employed by big and small companies alike.

Cloud Computing

Big companies have traditionally relied on physical computer server infrastructure to meet their IT requirements. However, now they are moving toward cloud computing to meet these requirements. According to research, the global market for public cloud services is expected to reach $480 billion this year.

It is no secret that many organizations are now shifting toward cloud computing. Many companies are now also building their products and applications directly on cloud servers rather than switching to them later. So if you have cloud computing skills, you will very much be in demand for employment.

Amazon Web Services (AWS) is one of the largest cloud platforms these days. It has features related to database storage, content delivery, networking, and a lot more. There are over 200 services in total. AWS professionals tend to be cloud architects, software engineers, or system administrators. IT personnel having AWS certifications tend to earn more than others. This is one of the most lucrative certifications to acquire. AWS professionals can expect to earn over $160,000 a year.

Extended Reality

Extended reality (XR) is the collective term used for virtual reality (VR) and augmented reality (AR). While XR is widely used in entertainment, it also has other practical applications. XR technologies are already being used in advertising, marketing, manufacturing, and healthcare industries.

According to research, the demand for VR and AR engineers grew by 146% in 2019. This trend is likely to grow in the future as well. So there is plenty of scope for people who acquire ER skills. As this technology becomes common, more tech firms will start demanding employees with these skills. So if you are not familiar with ER, now is the time to enter this field.

Within the ER industry, AR is likely to experience more growth than VR. The size of the global VR gaming market is expected to exceed $50 billion by 2028. AR on the other hand will be worth close to $140 billion by 2028.

Summing Up

There are many reasons to learn a skill that is in demand. The very fact that is in demand is one of the reasons to learn it. Since employers are seeking to hire people with these skills, learning them will open up career opportunities. Having in-demand tech skills will help you even if you are already employed. It can make your job easier and will help build up your resume to get ahead in your career. Having these skills will give you an advantage over other job seekers. The more skills you have the higher salary you can command.

The job-seeking process has changed considerably over the years. Instead of physically sending your resume to potential employers, you can now easily apply for jobs online through LinkedIn and other career-oriented platforms. Dial telefono de Spectrum to get access to a fast internet connection to help you search for jobs and perform other online functions.