COVER STORY – AGE OF AI AGE OF AI
How the rapid adoption of artificial intelligence is proving to be a paradigm shift for design engineering
Source: Arthur D. Little Framework for a target AI portfolio M
odern manufacturing is becoming ever more complex in the pursuit of innovation. Design
engineers are, as a result, facing continual challenges in order to walk the tightrope between efficiency, function, form and sustainability within their products. The rapid adoption of artificial intelligence (AI) is already vastly altering how ideas are conceived, systems are designed and solutions are delivered. The potential value of the technology is clear to many, but the path to truly harnessing its benefits and embedding it within our workflows remains unclear. This special Age of AI feature
(pages 6-13) takes a deep dive into the challenges, trends, use cases and insights into how AI can influence the design engineering landscape, both
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now and in the future. Across the following pages, we hear from some of the leading companies in this area who are proactively adopting AI into their processes and transforming the way they design and make products as we transition to a more sustainable world.
HARNESSING AI According to a recent study by international management consulting firm Arthur D. Little (ADL), the challenge of AI adoption is not just about adding new tools, but about “systematically reshaping the very foundations of how organisations create value from innovation.” Titled “Moving innovation forward:
How to harness AI to transform development & engineering,” the report is the result of a collaboration between ADL, the Netherlands Academy of
Engineering (NAE), the Royal Swedish Academy of Engineering Sciences (IVA) and the Koninklijk Instituut van Ingenieurs (KIVI). The report draws insights from over 900 AI and technology use cases, as well as input from leading companies across six industries, in a bid to summarise the practical steps necessary to move beyond experimentation to scalable and meaningful AI integration.
NAVIGATING AI’S IMPACT ON ENGINEERING In the study, development and engineering comprises activities along the entire innovation cycle, including intelligence gathering, idea generation, R&D, design, prototyping, scale-up and launch. “Deploying AI can seem like drinking water from a fire hose,” the
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