How’s AI Going To Reshape Engineering Solutions?

Bharti Garg    
Co-Founder & Chief Product Officer "FrugalTesting"

Bharti Garg, Co-Founder and Chief Product Officer at FrugalTesting, has over 15 years of experience in IT product architecture, design, and development. She's skilled in managing product lifecycles, strategizing, and building high-performance teams, with a focus on SaaS, cloud, and load testing.  

Do you remember when possessing a computer was considered nothing more than a marvel, despite their capabilities being limited to the most basic of tasks? Or do you remember those wacky Hollywood movies where Artificial Intelligence was a norm in science fiction movies? 


Today, AI isn’t just limited to a cinematic fantasy; it plays a significant role in reshaping the core of the engineering world. This technological revolution has transformed what once would’ve been impossible into everyday efficiency and innovation.


Most notable changes could be found in the sphere of manufacturing; AI’s integration into predictive maintenance has been a game changer, leaving the days behind us in the dust where unexpected machine failures and costly downtimes were a norm. AI algorithms can now predict whether the machinery needs maintenance, significantly reducing unexpected breakdowns and costs.


An article from the Industry Week article has stated that implementing AI predictive maintenance would help achieve a 10% reduction in annual maintenance costs, a 20% decrease in downtime, and a 25% reduction in inspection costs.


While delving into the related realm of IT, it would be easy to understand that AI is crucial in optimising network systems as well as enhancing cybersecurity. AI algorithms can predict and identify potential breaches or failures in network systems, allowing them to maintain proper security and efficiency. Such integration of AI in IT helps streamline operations and strengthen the defences against cyber attacks. 


Moving onto the more complex industries, such as the automotive and aerospace industries, one cannot imagine their functionality without AI. The intricate design and testing processes move at a snail’s pace, wasting time and reducing efficiency significantly. Integration of AI into such industries has led them to grow rapidly with their increased insight into a simulation of countless scenarios, providing results quicker than traditional methods. 


An article from provides assent to this statement, with its reports dictating that AI in automotive design can halve the time spent on the design processes, enhancing both speed and safety.


AI’s impact, having no boundaries, seemingly extends to sustainable resource management. Using the ability to analyse the patterns and predict future needs ensures that the materials and energy are used optimally. A report from the World Economic Forum has backed the claim by highlighting how AI can improve material utilisation by up to 20%, significantly reducing waste and environmental impacts.


In conclusion, AI has not only transformed the complex of disciplines containing functional work into a more defined and automated system but also has led to increased efficiency and innovation in almost every aspect possible.