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Joe Griston + Laurence Cook of Generative Engineering at CDFAM NYC 2024 https://cdfam.com/24-nyc/ https://generative.vision/ Knowledge, Data, Trust. Bridging the Gap Between High Value Manufacturing and Rapid Advances in AI Capabilities Presentation Abstract If we can increase the efficiency and success rate of engineering by improving the process of designing physical products, reducing the cost and timelines of doing so, and making our engineering workforce more productive, it will create huge benefits to society. Currently, skilled labour shortages, cost overruns and long development timelines frequently result in the failure of once promising technologies, products, and businesses. These difficulties destroy invested capital and hamper our efforts to address climate change. We must produce new solutions faster that will have more complex use cases and dependencies. This is happening elsewhere, yet the rapid advances in AI capabilities that are currently supercharging other industries, are limited within engineering and high-value manufacturing, why is this? There is a gap to overcome, but what is this gap, and can we all work together to bridge it? We must produce new solutions faster that will have more complex use cases and dependencies. This is happening elsewhere, yet the rapid advances in AI capabilities that are currently supercharging other industries are limited within engineering and high-value manufacturing. Can we enable true AI and ML impact beyond surrogate simulations? There is a gap to overcome, but what is this gap, and can we all work together to bridge it? Speaker Bio Joe Griston is a Software Engineer turned Chief People Officer turned startup Founder. Alongside others, Joe built the world’s largest labour marketplace freelancer.com enabling 70 million people to work together, then built the once-promising Arrival, to its $13.6 billion public listing, and is now leading EQT-backed Generative Engineering to market. Laurence Cook holds a PhD from Cambridge and was a Postdoc Computational Engineer at Stanford, Cambridge, and within MIT’s ACDL (Aerospace Computational Design Lab). Built applications including hypersonic space planes, passenger jet aircraft, and Formula 1 tech and is now a Co-Founder of Generative Engineering.