Software security trends are becoming more and more integrated into daily business operations. Did you know that digitally transformed companies are expected to contribute to more than half of global GDP in 2023? With the enhancement and diversification of tech roles, it has become essential for tech enthusiasts to be aware of the most sought-after skills. Employers often cite the technical skills gap as the main reason behind their failure to fill vacancies. It is still important to note the tech skills and expertise which are most desired by these recruiters.
Using the LinkedIn data on the emerging jobs, we can make an estimate of the ten most sought-after tech skills by Canadian recruiters in 2021.
Artificial Intelligence and Machine Learning
Last year, AI Specialist was LinkedIn’s Top Emerging Job. This demand will continue to be strong in 2021 especially with AI extending its reach beyond the IT industry. In a post COVID world, companies are striving to harness the potential of innovation and Big Data analytics. Hence, ML and AI will continue to be a well-demanded skill set for this year as well.
Data Science & Engineering
Data Science has also experienced vast growth in the past few years. This popularity can be ascribed to an increased usage of Big Data for business decision-making as well as the evolution of already existing jobs. There is an increased demand for competent engineers who can develop the infrastructure needed to maintain the company’s Data. Data analytics can also make medical care more effective. Hospitals are using Big Data to predict which COVID 19 patients are likely to become severely ill. These approaches reflect how the appetite for Big Data is likely to grow in the future, particularly in view of the pandemic.
Cyber Security
According to Cost of a Data Breach Report 2020, data breaches have a global average total cost of $ 3.86 M and have impacted around 19 million Canadians since 2018. In 2021, cybersecurity budgets are likely to climb higher than even pre-pandemic limits. Cloud adoption will also increase the need for a good cybersecurity skillset as companies will need to ensure cloud data protection.
DevOps and Site Reliability Engineering
DevOps allows for much faster application development and easy maintenance of current deployments. The efficiency provided by this approach has made it a desired skill set for recruiters. The government lockdowns imposed due to the COVID19 pandemic have increased rapid digitization, automation, and cloud adoption. These measures will increase the need for better communication between teams to ensure operational efficiency. Hence, the DevOps market is likely to experience growth in 2021.
Full-Stack Development/Engineering
Full-stack developers need to be competent in different technical solutions to have a better grasp of the complete build of a project. This makes them a valuable resource for any company. The U.S. Bureau of Labor Statistics has estimated that the demand for Full stack developers will shoot to around 853 thousand in 2024. Given their past desirability and skillset, we can deduce that Full-stack engineers will continue to be in high demand in 2021.
Robotics
LinkedIn data suggests that the demand for Robotic engineers has increased by around 40% every year since 2015. The growth potential of the robotics industry can be gauged by the mere fact that UiPath, the most successful robotics solution, is valued at around $7 billion. A study conducted by CATAAlliance and Sciencetec in 2018 proved Canada’s potential in becoming a robotics powerhouse. These statistics enable us to understand the appeal of robotic engineering as a lucrative career option for Canadians in 2021.
Customer Success Management
Technological growth has also sky-rocketed the demand for Customer Success Specialists. Companies require professionals who can understand software security trends while being able to maintain customer relations. This will be particularly true in the coming year as it has become difficult to manage churn rate and customer retention in a COVID19 environment.
User Experience
With increasing online business interactions, it has become vital for companies to follow software security trends and effortless digital experience to their customers. Furthermore, information overload and shorter attention spans make it more difficult for companies to make an impression on users. This has led to an increased demand for designers who can understand user’s expectations and needs to ensure the optimal customer experience. In 2021, companies are accelerating their digital transformations in response to the pandemic. This will likely make experience designing a highly demanded skill in the future.
JavaScript Development
94.5% of all websites use JavaScript and it is the most popular programming language to this date. This popularity is likely to continue in 2021 as the ability to code in JavaScript languages allows one to develop applications for nearly any platform.
Cloud Computing
According to Global Knowledge 2020 IT Skills and Salary Report, software security trends are highly sought after and are the second-highest IT investment area. Cloud has unlocked new revenue channels by utilizing Future techs such as the Internet of Things and artificial intelligence. IDC estimates, for the coming year, suggests that the IT spending is likely to go down in most areas except Cloud. Cloud investments are likely to experience growth despite the global pandemic.
Talent hunting can be a costly and time-consuming process that is quite vulnerable to human lapses of judgment. This is why AI-enabled recruitment is highly demanded in the world of human resource management. AI talent acquisition is here to stay.
Recruitment agencies are already using machine learning algorithms for some stages of the hiring process, if not all. This could be for finding the right candidates, optimizing job ads or filtering resumes. In recent years, AI is even being used during job interviews. Candidates are often asked to record their answers to questions over video, which is then algorithmically analyzed to determine aptitude. Unilever uses the AI-empowered process of HireVue to do this for its initial stages of recruitment. A candidate’s behavior and aptitude are gauged from their facial expressions and these insights are then used to speed up the hiring process.
Proponents of AI insist that the process is grounded in data and research while critics have labeled it a pseudoscience, with a tendency to aggravate existing gender and racial biases.
So how effective is AI-enabled talent hunting? What are some advantages and disadvantages of AI recruitment? Let’s discuss!
Should we be excited about AI recruitment?
AI-integrated hiring has the potential to offer unprecedented benefits to HR managers – from the screening process to managing employee experience. Recruitment today looks drastically different from recruitment of a decade ago. What does this mean for the future of hiring in 2022? Let’s take a look at some factors that brighten the future of recruitment.
It saves time
Menial tasks can often take up a disproportionate amount of an HR manager’s time. This is why automation of simple tasks helps HR save time so that they may be able to focus on more pressing matters. Many businesses today use applicant tracking systems to identify keywords in resumes and subsequently rank them based on candidate aptitude for a given job. Time is a precious commodity these days and AI can help you save it! AI-integrated hiring has the potential to offer unprecedented benefits to HR managers – from the screening process to managing employee experience. Recruitment today looks drastically different from recruitment of a decade ago. What does this mean for the future of hiring in 2022? Let’s take a look at some factors that brighten the future of recruitment.
Critics of AI enablement in recruitment point out that there is no evidence to suggest that facial expressions make someone a better candidate for hiring. Facial cues can be highly contextual and dependent on a multitude of factors. Gender, racial and cultural factors can also come into play here which makes AI usage less desirable. When AI replicates human biases, it can be a huge problem because people can still unlearn biases whereas AI won’t be able to unless reprogrammed.
The final steps are to package the plug-in. First execute the yarn build within the project’s root folder. The bundled JS is written by webpack to main.js located off the projects root folder. Files are imported in the source by using the require statement. A standard zip file would contain main.js, manifest.json and the images folder, plus any other assets placed on the root folder by webpack. Then change the file extension from .zip to .xdx so Adobe XD recognizes it as a plug-in package.