Current Scenario
The employment outlook of a particular profession may be impacted by diverse factors, such as the time of year, location, employment turnover, occupational growth, size of the occupation, and industry-specific trends and events that affect overall employment.
IT Managers can enjoy steady job growth and exciting opportunities as digital technology continues to expand and create the need for more technically proficient people with managerial skills.
Potential Pros & Cons of Freelancing vs Full-Time Employment
Freelancing IT Managers have more flexible work schedules and locations. They fully own the business and can select their projects and clients. However, they experience inconsistent work and cash flow, which means more responsibility, effort and risk.
On the other hand, full-time IT Managers have company-sponsored health benefits, insurance and retirement plans. They have job security with a fixed, reliable source of income and guidance from their bosses. Yet, they may experience boredom due to a lack of flexibility, ownership and variety.
When deciding between freelancing or being a full-time employee, consider the pros and cons to see what works best for you.
Which One Would You Be?
Although the size of the organisation and its needs may call for some overlap, IT Managers generally play diverse roles with distinct responsibilities.
Infrastructure Managers focus on running the organisational hardware, software, networks, and servers smoothly and safely. Development Managers work with programmers and other IT professionals to develop time- and cost-effective software applications and IT systems that meet business needs.
Security Managers are responsible for the organisation’s IT security, while Operations Managers guarantee the seamless efficiency of daily operations of the organisational IT systems in meeting set objectives.
Project Managers ensure the successful planning, execution and delivery of IT projects within the prescribed time and budget. Support Managers ensure the IT support staff offers prompt and premium services to end users.
What’s In a Name?
Depending on their work location and industry, IT Managers may go by other job titles, including Computer and Information Systems Manager or Information Systems Manager. The job responsibilities are identical, so the labels would likely not coexist within the same organisation.
The Rise of Artificial Intelligence (AI) and Machine Learning (ML)
In recent years, Artificial Intelligence (AI) and Machine Learning (ML) have gained widespread attention as emerging trends in IT, with the potential to shape our future. ML involves training machines to perform tasks without explicit programming, while AI consists in developing intelligent machines to perform human-like tasks.
Many organisations leverage AI and ML resources to gain significant benefits, such as improved performance, enhanced customer service, more effective data analytics, resolution of production issues, and increased revenue.
Going forward, IT Managers should be mindful of several emerging trends in AI to remain competitive.
For instance, sophisticated versions of AI-powered chatbots can simulate human conversations so convincingly that they can provide exemplary customer support, sales assistance, lead generation, and marketing.
With widespread adoption across diverse industries, including agriculture, medical research, the stock market, and traffic monitoring, ML needs careful attention as an emergent technology.
Edge and Quantum Computing are Here to Stay
A distributed computing framework that brings computation and data storage closer to the data source, edge computing is a popular trend in the IT industry. It offers faster insights, improved response times, better bandwidth availability, and enhanced data security.
Edge computing uses encryption to secure any data traversing the network back to the cloud or data centre, circumvents the delays caused by cloud computing, gets data to data centres for speedy processing, and processes time-sensitive data in remote locations with little or no connectivity to a centralised location.
Organisations also lean towards quantum computing to perform superposition, interference, or entanglement calculations, carry out measures faster, solve complex problems, and run computer simulations.
Molecular modelling, database searching, cryptography, weather forecasting, credit risk, high-frequency trading, fraud detection, rapid DNA sequencing, drug discovery, personalised medicine, diagnosis assistance, and radiotherapy are just a few instances of quantum computing revolutionising diverse industries.