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Adopting and adapting to innovations in AI within engineering

Engineers are facing a remarkable period of change and technological advancement today. The driving force of practical artificial intelligence can be seen in every workflow, and the very nature in which engineers innovate, design, test and are required to think about their products is being redefined as ever more technologies are made available to them. It is crucial to overcome the widely feared notion that AI will steal human jobs. To set the record straight, a University of Oxford Study found that STEM professionals are the least likely to be under threat. The reality is quite the opposite of the myth, Engineering and Science professionals are poised to benefit the most from new technologies such as artificial intelligence (AI).

The importance of adopting

 

There is great opportunity for machine learning tech, and AI to change the way in which engineers work. Embedding these new tools into the ecosystem has the potential to redefine facilities, the growth of workers as innovative engineers, and provides scope to design with complexities and intricacies as was never possible before. It is therefore vital to remaining relevant in the field, that engineers understand, and to an extent, predict where and how machine learning and AI will redefine boundaries, and adopt and adapt their methods of thinking and working to remain competitive.

 

Promoting adaptation

 

AI was once an extra, a side piece of a tool that was something to play around with for engineers. Today however, it is a fundamental basis on which engineering work is one. If you were to look closely at the trend in application of AI it is evident that it’s encroachment into numerous aspects of the daily workflow is both clear and quick.

 

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Leading innovation using new technologies

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Leading innovation using new technologies

Rewriting Jobs

 

In the past, every innovation in tech has created a new sector of work and research. The modern setting of technologically and digitally grounded innovation has pushed AI onto the forefront of the wave of innovation. Engineers, and the way in which they are used to working - and even where they are working, are due to change in the face of this innovation. Workflows will change in micro-perspective thanks to the impacts and greater capabilities of AI that open up new scope for complex and intricate design. Looking at the larger picture whole new industries will grow out of the opportunities and new work capabilities created by this new tech, which engineers will need to fill.

 

Adapting while you still can

 

Machine learning as an example, allow computers and systems to learn over time - optimising and conducting tasks that would previously been fulfilled by an engineer. This tech improves capabilities of computers to work independently and to remain relevant and abreast of the changes in the industry engineers must be able to adapt and predict the ways in which tech will change their work scope.

 

Summary

 

Getting used to changing workflows to run alongside computers is key in the age of machine learning and AI. Opening up minds to the benefits and greater range and dept of information these technologies can provide, and the exciting innovation that can be born through it is vital to adapting successfully. The Internet of Things and a new definition of data collection and management through AI tools will help inform productivity and innovation for example, and be significant in promoting generative design with and ever greater growth capability.

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Carl-Eric Ryberg
Carl-Eric Ryberg
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