James Martin, Shell International
Amjad Chaudry, Shell International
Machine learning and deep learning can be used to automate a range of tasks. Shell and the Advanced Analytics Center of Excellence (AACoE) are using these techniques to speed up processes while increasing their reliability. In geomatics, terrain classification can be improved using a rich training dataset of labelled satellite images. Automatic tag detection in large (panoramic) plant images also leads to more efficient maintenance.
James and Amjad will show how MATLAB® make using these techniques easy. With minimal setup, MATLAB Parallel Server™ allows the team to train networks on multiple remote GPUs in the cloud. MATLAB Production Server™ lets the team create thin web clients that operators in the field can use, with minimal physical hardware such as a smartphone.
Shell leverages all those techniques and tools so that its engineers can easily and painlessly use the latest findings.