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Technology is advancing rapidly, leading to faster progress and change in technology trends. This acceleration of change is not limited to technology trends and emerging technologies alone. Many other aspects have also undergone significant transformations, causing IT professionals to realize that their role will not remain the same in the future.
In the year 2024, IT professionals will need to continuously learn, unlearn, and relearn due to necessity, if not desire. What does this mean for you? It implies the importance of staying updated with emerging technologies and the latest trends in technology. It also means keeping an eye on the future to understand the skills that will be required to secure a stable job and even learn how to acquire those skills.
In 2024, there are 5 emerging trends in technology that you should pay attention to and try to explore. By doing so, you may position yourself for one of the job opportunities that will be created by these new technology trends. Let’s begin the list with the highly discussed topic, gen-AI!
Technology Trends 1: Generative AI
Generative AI is a state-of-the-art technology that has transformed various industries by empowering machines to produce content that closely resembles human-generated work. It encompasses a broad spectrum of applications, ranging from text generation to image synthesis and even music composition.
By mastering generative AI, individuals can explore exciting career paths in fields such as artificial intelligence research, data science, and creative industries. The ever-expanding applications of generative AI hold a promising future for those who acquire expertise in this technology, providing opportunities to shape how we interact and create content in the digital era. Some of the most sought-after job roles include:
AI Researcher, here is the opportunity to explore extensively the progress of sophisticated generative models.
A data scientist utilizes generative AI to derive valuable insights from data.
Utilizing generative AI for the invention narrative, the individual becomes a content creator.
An AI Ethics Consultant is responsible for examining the ethical consequences associated with AI-generated content.
Technology Trends 2: Computing Power
Computing power has firmly established its position in technology trends, as virtually every device and appliance has become computerized. Furthermore, data science experts anticipate that the current computing infrastructure we are constructing will continue to advance in the future.
Simultaneously, 5G technology is already available, paving the way for the upcoming era of 6G, which will provide even greater capabilities in our hands and the devices that encompass us. Moreover, the growth of computing power is creating additional employment opportunities in the tech industry, although candidates will need to possess specialized qualifications to secure these positions.
The field that will dominate the majority of employment in all countries is one that encompasses data science, robotics, and IT management. As our devices require more computing power, the demand for technicians, IT teams, relationship managers, and customer care professionals will continue to grow in AI trends. A crucial aspect of this field that you can start learning today is Robotic Process Automation (RPA). After mastering RPA, you can aim for some of the top jobs in the industry.
Analyze data for insights.
Create AI systems & algorithms.
Develop advanced robotic tech.
Design AI system frameworks.
Create innovative robots.
Technology Trends 3: Datafication
Datafication refers to the process of converting various aspects of our daily lives into data-driven technology. In essence, it involves transforming human tasks and activities into devices or software that rely on data. Whether it’s our smartphones, industrial machinery, office software, or even AI-powered appliances, data has become an integral part of our lives. As a result, the need for experts who can effectively and securely store our data has become increasingly important in our economy.
The process of datafication results in an increased demand for IT experts, data scientists, engineers, technicians, managers, and many other professionals. Moreover, it is noteworthy that individuals possessing a solid understanding of technology can obtain certification in data-related specializations to secure a position in this field. Data-oriented occupations prioritize skills over extensive qualifications. Here are some well-known data careers to consider:
Manage large-scale data systems.
Design and build robots.
Design IT system structures.
Interpret data for business decisions.
Analyze data for insights.
Technology Trends 4: Artificial Intelligence (AI)
Artificial Intelligence, commonly referred to as AI, has garnered significant attention in recent years. However, it remains a prominent technology trend due to its profound impact on various aspects of our lives, including work, leisure, and daily activities. The potential of AI is still in its nascent stages, but it has already demonstrated remarkable capabilities in areas such as image and speech recognition, navigation applications, personal assistants on smartphones, ride-sharing platforms, and numerous other domains.
Proficiency in AI can open doors to careers such as:
Conduct AI research studies.
Develop AI systems & algorithms.
Design AI system frameworks.
Technology Trends 5: Machine Learning (ML)
Machine Learning, a branch of Artificial Intelligence (AI), is increasingly being utilized across various industries, leading to a significant need for proficient individuals in this field. According to Forrester, the integration of AI, machine learning, and automation is projected to generate 9 percent of new job opportunities in the United States by 2025.
These jobs will encompass roles such as robot monitoring professionals, data scientists, automation specialists, and content curators. Therefore, it is crucial to acknowledge this emerging technology trend and its potential impact on the job market.
Proficiency in ML can open doors to careers such as:
Develop machine learning models.
