Wednesday 29th February, 2012
4:50pm to 5:30pm
Big data science and cloud computing is changing how engineering driven companies develop highly complex products. Utilizing a novel cloud platform based on hadoop, big data analytics, and applied mathematics tools, the traditional product development cycle can be drastically sped up and used to provide new unique insights into highly complex products improving their final designs. Data science on the cloud can be utilized as a platform to collaborate between disciplinary silo’s within engineering organizations providing new opportunities for applications of advanced machine learning and optimization tools. These tools are demonstrating drastic improvements in aerospace, automotive, and other high-tech industries.
An airplane wing case study will be shown to illustrate the ideas and methods presented. The case study will show how complex engineering disciplines such as aerodynamics and structural analysis can be simultaneously run on the cloud and coupled to not only increase the speed of product development but also used to develop better final product designs. Several tools described in the case study will be shown through a live demonstration.
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