AI and robotics offer many advantages, but raise concerns that they may replace many humans in jobs in the embedded engineering sector. Instead, it may offer new career paths.
Artificial intelligence (AI) and robotics are rapidly becoming important technologies in the embedded systems space. AI and machine learning (ML) will enable devices to learn and adapt to their environment, making them more intelligent and responsive. On the other hand, robotics techniques involving the creation and use of physical machines can improve the performance of tasks that humans can normally perform.
AI-assisted collaborative robots will play an increasingly important role in the future. The aim is to create healthy and safe living and working conditions and less harm to the environment.
Fear of losing a job
Continuous developments in these areas are influencing waves of change across various industries. While there are many benefits associated with this technological evolution, there are also concerns that AI and robotics could replace many humans, from food servers to medical professionals, especially in the embedded engineering sector. .
A new generation of microprocessors, designed to handle artificial intelligence tasks faster, threatens to take over processing low-level engineering tasks, using less power and resources. Deloitte even calculates that AI design tools are allowing chip makers to push the boundaries of Moore’s Law, save time and money, reduce manpower, and even bring old chip designs into the modern era. doing. Robotics, on the other hand, refers to the use of robots by some people for specific situations where human interaction is dangerous, for low-level routine skills, or for highly precise needs such as assembly lines, warehouse logistics, and certain medical tasks. It can take away jobs that are being displaced by Whenever a business unit embraces innovative technology, some jobs are sacrificed.
Therefore, fear is justified, depending on the chosen field.
But according to Big Think, optimists believe that, like the Industrial and Agricultural Revolutions, technological advances resulting from the dawn of artificial intelligence and its offshoots in modern robotics will do more than they destroy. I believe that it will create new jobs for AI and robotics implementations typically create greater demand for people supporting the technology.
The benefits of ergonomics and technology collaboration
They suggest that companies should hire skilled support staff to optimize these technologies. For example, many people find robots to be a great complement to their work environment. Collaborative robots, also known as cobots, have become capable of handling repetitive and mundane tasks that require little intellectual movement from the average human. This means skilled engineers can focus on more complex operations.
Engineer skills need improvement
The need for engineers to help support and upskill is clear, creating not only new roles to support the evolution of AI and robotics, but also entirely new and untapped markets where new career paths can be established. I will.
Engineers should have a solid understanding of AI and ML and the tools and frameworks used to implement them. This includes knowledge of common ML libraries and the ability to program in languages such as Python, R and C++. Engineers should also be familiar with common ML algorithms such as neural networks and decision trees and be able to apply them to real-world problems.
Designing and developing robotic systems also requires a deep understanding of robotics principles and techniques. This includes knowledge of robotics hardware such as motors, sensors, and actuators, as well as software frameworks.
By supporting employees and customers, companies enjoy higher productivity levels and profits.
The challenge of finding the right skills
As the industry progresses and begins to adopt integrated machine learning, robotics, embedded software systems, and other next-generation technologies on the factory floor, there is a need for upskilling, but to facilitate new technologies within engineering There is a proven global shortage of skilled engineers. Challenge yourself. It also hinders progress in this area.
It has sparked a bitter war over the demand for embedded engineer talent, ultimately creating a talent gap where companies cannot find enough embedded engineers to sustain demand.
Finding the right skills is therefore essential to successfully integrating and working with engineering and manufacturing organizations and AI or robotics.
Leveraging a small global resource of engineers who are highly trained, knowledgeable, and already familiar with the latest technologies can be the right course of action.
Finding a workforce provider or experienced agency who can find the right type and level of expertise can help businesses and candidates alike quickly solve this problem.Global Embedded Engineering A trusted partner with insight into how the sector is evolving has the understanding and experience to know where the right connections are in this emerging field.
Only by harnessing the next generation of embedded engineer skills and future technologies in AI and robotics can companies optimize innovation and productivity for long-term sustainability.
 Richard McCullah is the CEO of CIS Electronics Engineering, overseeing the day-to-day operations, developing strategic plans, company policies and driving the organization’s success while maintaining an open dialogue with shareholders. Richard has over 20 years of commercial experience working with large multinational corporations to growing midsize companies within the technology sector and construction industry. |
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